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overflow: hidden; text-overflow: ellipsis; -webkit-line-clamp: 3; -webkit-box-orient: vertical; }</style><div class="col-xs-12 clearfix"><div class="u-floatLeft"><h1 class="PageHeader-title u-m0x u-fs30">Satellite remote sensing</h1><div class="u-tcGrayDark">17,787 Followers</div><div class="u-tcGrayDark u-mt2x">Recent papers in <b>Satellite remote sensing</b></div></div></div></div></div></div><div class="TabbedNavigation"><div class="container"><div class="row"><div class="col-xs-12 clearfix"><ul class="nav u-m0x u-p0x list-inline u-displayFlex"><li class="active"><a href="https://www.academia.edu/Documents/in/Satellite_remote_sensing">Top Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Satellite_remote_sensing/MostCited">Most Cited Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Satellite_remote_sensing/MostDownloaded">Most Downloaded Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Satellite_remote_sensing/MostRecent">Newest Papers</a></li><li><a class="" href="https://www.academia.edu/People/Satellite_remote_sensing">People</a></li></ul></div><style type="text/css">ul.nav{flex-direction:row}@media(max-width: 567px){ul.nav{flex-direction:column}.TabbedNavigation li{max-width:100%}.TabbedNavigation li.active{background-color:var(--background-grey, #dddde2)}.TabbedNavigation li.active:before,.TabbedNavigation li.active:after{display:none}}</style></div></div></div><div class="container"><div class="row"><div class="col-xs-12"><div class="u-displayFlex"><div class="u-flexGrow1"><div class="works"><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_9522345" data-work_id="9522345" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/9522345/Anth_106_Ppt_lecture_4_summary_of_and_supplement_to_Renfrew_and_Bahn_textbook_chp_3_Where_Survey_and_excavation_of_sites_and_features_by_G_Mumford_UPDATED_Jan_2023">Anth.106 Ppt. lecture-4: summary of & supplement to Renfrew & Bahn textbook, chp. 3: Where? Survey and excavation of sites and features (by G. Mumford); UPDATED Jan. 2023.</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">SUMMARY: Chapter 3, in Renfrew & Bahn's textbook (Archaeology: Theories, Methods, and Practice), covers many approaches to looking for and finding sites, and archaeological remains within sites, such as historical and local reports,... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_9522345" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">SUMMARY: Chapter 3, in Renfrew & Bahn's textbook (Archaeology: Theories, Methods, and Practice), covers many approaches to looking for and finding sites, and archaeological remains within sites, such as historical and local reports, ground reconnaissance (e.g., walking surveys; sampling strategies), aerial surveys (e.g., LiDAR; crop marks), satellite remote sensing, recording & mapping (e.g., GIS), subsurface detection (e.g., probes), ground-based remote sensing (seismic; acoustic; electromagnetic; magnetic; etc.), excavation techniques, underwater archaeology, and processing & classification.  In my view, this is one of the best college textbooks available, and is invaluable for students, archaeologists, and the public in general, to obtain a top notch overview of approaching and interpreting the archaeological record.  REVISED: Jan. 2023.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/9522345" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="f6f5f4adf964a1388421adb62cbe4a4b" rel="nofollow" data-download="{"attachment_id":97718554,"asset_id":9522345,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/97718554/download_file?st=MTczMjc5NTIxNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="9975751" href="https://ua-birmingham.academia.edu/GregoryMumford">Gregory Mumford</a><script data-card-contents-for-user="9975751" type="text/json">{"id":9975751,"first_name":"Gregory","last_name":"Mumford","domain_name":"ua-birmingham","page_name":"GregoryMumford","display_name":"Gregory Mumford","profile_url":"https://ua-birmingham.academia.edu/GregoryMumford?f_ri=13211","photo":"https://0.academia-photos.com/9975751/5788605/11609699/s65_gregory.mumford.jpg"}</script></span></span></li><li class="js-paper-rank-work_9522345 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="9522345"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 9522345, container: ".js-paper-rank-work_9522345", }); 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Survey and excavation of sites and features (by G. Mumford); UPDATED Jan. 2023.","created_at":"2014-11-27T00:26:02.281-08:00","url":"https://www.academia.edu/9522345/Anth_106_Ppt_lecture_4_summary_of_and_supplement_to_Renfrew_and_Bahn_textbook_chp_3_Where_Survey_and_excavation_of_sites_and_features_by_G_Mumford_UPDATED_Jan_2023?f_ri=13211","dom_id":"work_9522345","summary":"SUMMARY: Chapter 3, in Renfrew \u0026 Bahn's textbook (Archaeology: Theories, Methods, and Practice), covers many approaches to looking for and finding sites, and archaeological remains within sites, such as historical and local reports, ground reconnaissance (e.g., walking surveys; sampling strategies), aerial surveys (e.g., LiDAR; crop marks), satellite remote sensing, recording \u0026 mapping (e.g., GIS), subsurface detection (e.g., probes), ground-based remote sensing (seismic; acoustic; electromagnetic; magnetic; etc.), excavation techniques, underwater archaeology, and processing \u0026 classification. 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REVISED: Jan. 2023.","downloadable_attachments":[{"id":97718554,"asset_id":9522345,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":9975751,"first_name":"Gregory","last_name":"Mumford","domain_name":"ua-birmingham","page_name":"GregoryMumford","display_name":"Gregory Mumford","profile_url":"https://ua-birmingham.academia.edu/GregoryMumford?f_ri=13211","photo":"https://0.academia-photos.com/9975751/5788605/11609699/s65_gregory.mumford.jpg"}],"research_interests":[{"id":130,"name":"Ancient 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}); });</script></span><script>$(function() { $(".js-view-count-work_35520389").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="35520389"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">28</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="1252" href="https://www.academia.edu/Documents/in/Remote_Sensing">Remote Sensing</a>, <script data-card-contents-for-ri="1252" type="text/json">{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1512" href="https://www.academia.edu/Documents/in/Climate_Change">Climate Change</a>, <script data-card-contents-for-ri="1512" type="text/json">{"id":1512,"name":"Climate Change","url":"https://www.academia.edu/Documents/in/Climate_Change?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4594" href="https://www.academia.edu/Documents/in/Carbon_Dioxide">Carbon Dioxide</a>, <script data-card-contents-for-ri="4594" type="text/json">{"id":4594,"name":"Carbon Dioxide","url":"https://www.academia.edu/Documents/in/Carbon_Dioxide?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="7541" href="https://www.academia.edu/Documents/in/Coral_Reef_Ecosystems">Coral Reef Ecosystems</a><script data-card-contents-for-ri="7541" type="text/json">{"id":7541,"name":"Coral Reef Ecosystems","url":"https://www.academia.edu/Documents/in/Coral_Reef_Ecosystems?f_ri=13211","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=35520389]'), work: 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Change","url":"https://www.academia.edu/Documents/in/Climate_Change?f_ri=13211","nofollow":false},{"id":4594,"name":"Carbon Dioxide","url":"https://www.academia.edu/Documents/in/Carbon_Dioxide?f_ri=13211","nofollow":false},{"id":7541,"name":"Coral Reef Ecosystems","url":"https://www.academia.edu/Documents/in/Coral_Reef_Ecosystems?f_ri=13211","nofollow":false},{"id":7807,"name":"Coral Reefs","url":"https://www.academia.edu/Documents/in/Coral_Reefs?f_ri=13211"},{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211"},{"id":25275,"name":"Indian Ocean World","url":"https://www.academia.edu/Documents/in/Indian_Ocean_World?f_ri=13211"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary?f_ri=13211"},{"id":35801,"name":"Climate Change Impacts","url":"https://www.academia.edu/Documents/in/Climate_Change_Impacts?f_ri=13211"},{"id":48127,"name":"Concentration","url":"https://www.academia.edu/Documents/in/Concentration?f_ri=13211"},{"id":48218,"name":"Global change","url":"https://www.academia.edu/Documents/in/Global_change?f_ri=13211"},{"id":65140,"name":"Models","url":"https://www.academia.edu/Documents/in/Models?f_ri=13211"},{"id":68527,"name":"Ocean acidification","url":"https://www.academia.edu/Documents/in/Ocean_acidification?f_ri=13211"},{"id":80561,"name":"Variability","url":"https://www.academia.edu/Documents/in/Variability?f_ri=13211"},{"id":80657,"name":"Surveys","url":"https://www.academia.edu/Documents/in/Surveys?f_ri=13211"},{"id":84278,"name":"Ph","url":"https://www.academia.edu/Documents/in/Ph?f_ri=13211"},{"id":99838,"name":"Matching","url":"https://www.academia.edu/Documents/in/Matching?f_ri=13211"},{"id":143611,"name":"Coral Reef","url":"https://www.academia.edu/Documents/in/Coral_Reef?f_ri=13211"},{"id":184683,"name":"Reduction","url":"https://www.academia.edu/Documents/in/Reduction?f_ri=13211"},{"id":188355,"name":"Acidification","url":"https://www.academia.edu/Documents/in/Acidification?f_ri=13211"},{"id":394429,"name":"Sea Water","url":"https://www.academia.edu/Documents/in/Sea_Water?f_ri=13211"},{"id":411513,"name":"Geophysical","url":"https://www.academia.edu/Documents/in/Geophysical?f_ri=13211"},{"id":975795,"name":"Alkalinity","url":"https://www.academia.edu/Documents/in/Alkalinity?f_ri=13211"},{"id":1201866,"name":"Atmospheric Carbon Dioxide","url":"https://www.academia.edu/Documents/in/Atmospheric_Carbon_Dioxide?f_ri=13211"},{"id":1212997,"name":"Q","url":"https://www.academia.edu/Documents/in/Q?f_ri=13211"},{"id":1292705,"name":"Environmental Parameter","url":"https://www.academia.edu/Documents/in/Environmental_Parameter?f_ri=13211"},{"id":1312781,"name":"Temporal Variability","url":"https://www.academia.edu/Documents/in/Temporal_Variability?f_ri=13211"},{"id":2566406,"name":"Carbon mineralization","url":"https://www.academia.edu/Documents/in/Carbon_mineralization?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_17190461 coauthored" data-work_id="17190461" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/17190461/HIGH_RESOLUTION_SATELLITE_IMAGES_FOR_MAP_PRODUCTION_IN_DEVELOPING_COUNTRIES">HIGH RESOLUTION SATELLITE IMAGES FOR MAP PRODUCTION IN DEVELOPING COUNTRIES</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">1. ABSTRACT The lack of adequate maps is one of the critical issue to deal with in the developing countries. Some technical projects involving the environment and the land planning need correct and updated maps. Several test had been... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_17190461" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">1. ABSTRACT The lack of adequate maps is one of the critical issue to deal with in the developing countries. Some technical projects involving the environment and the land planning need correct and updated maps. Several test had been conducted by our research group to develop a possible approach for low cost map and ortho-image production. This methodology is based</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/17190461" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="ef2b0737781f6056ff33c5bd24cb5416" rel="nofollow" data-download="{"attachment_id":39382281,"asset_id":17190461,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/39382281/download_file?st=MTczMjc5NTIxNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1069251" href="https://polito.academia.edu/FulvioRinaudo">Fulvio Rinaudo</a><script data-card-contents-for-user="1069251" type="text/json">{"id":1069251,"first_name":"Fulvio","last_name":"Rinaudo","domain_name":"polito","page_name":"FulvioRinaudo","display_name":"Fulvio Rinaudo","profile_url":"https://polito.academia.edu/FulvioRinaudo?f_ri=13211","photo":"/images/s65_no_pic.png"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-17190461">+1</span><div class="hidden js-additional-users-17190461"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://unito.academia.edu/EnricoMondino">Enrico Borgogno Mondino</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-17190461'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-17190461').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_17190461 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="17190461"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 17190461, container: ".js-paper-rank-work_17190461", }); });</script></li><li class="js-percentile-work_17190461 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 17190461; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_17190461"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_17190461 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="17190461"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 17190461; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=17190461]").text(description); $(".js-view-count-work_17190461").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_17190461").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="17190461"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">6</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="13211" href="https://www.academia.edu/Documents/in/Satellite_remote_sensing">Satellite remote sensing</a>, <script data-card-contents-for-ri="13211" type="text/json">{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="70854" href="https://www.academia.edu/Documents/in/Developing_Country">Developing Country</a>, <script data-card-contents-for-ri="70854" type="text/json">{"id":70854,"name":"Developing Country","url":"https://www.academia.edu/Documents/in/Developing_Country?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="81403" href="https://www.academia.edu/Documents/in/Burkina_Faso">Burkina Faso</a>, <script data-card-contents-for-ri="81403" type="text/json">{"id":81403,"name":"Burkina Faso","url":"https://www.academia.edu/Documents/in/Burkina_Faso?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="96047" href="https://www.academia.edu/Documents/in/Case_Study">Case Study</a><script data-card-contents-for-ri="96047" type="text/json">{"id":96047,"name":"Case Study","url":"https://www.academia.edu/Documents/in/Case_Study?f_ri=13211","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=17190461]'), work: {"id":17190461,"title":"HIGH RESOLUTION SATELLITE IMAGES FOR MAP PRODUCTION IN DEVELOPING COUNTRIES","created_at":"2015-10-22T23:38:38.698-07:00","url":"https://www.academia.edu/17190461/HIGH_RESOLUTION_SATELLITE_IMAGES_FOR_MAP_PRODUCTION_IN_DEVELOPING_COUNTRIES?f_ri=13211","dom_id":"work_17190461","summary":"1. ABSTRACT The lack of adequate maps is one of the critical issue to deal with in the developing countries. Some technical projects involving the environment and the land planning need correct and updated maps. Several test had been conducted by our research group to develop a possible approach for low cost map and ortho-image production. This methodology is based","downloadable_attachments":[{"id":39382281,"asset_id":17190461,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":1069251,"first_name":"Fulvio","last_name":"Rinaudo","domain_name":"polito","page_name":"FulvioRinaudo","display_name":"Fulvio Rinaudo","profile_url":"https://polito.academia.edu/FulvioRinaudo?f_ri=13211","photo":"/images/s65_no_pic.png"},{"id":36795769,"first_name":"Enrico","last_name":"Borgogno Mondino","domain_name":"unito","page_name":"EnricoMondino","display_name":"Enrico Borgogno Mondino","profile_url":"https://unito.academia.edu/EnricoMondino?f_ri=13211","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false},{"id":70854,"name":"Developing Country","url":"https://www.academia.edu/Documents/in/Developing_Country?f_ri=13211","nofollow":false},{"id":81403,"name":"Burkina Faso","url":"https://www.academia.edu/Documents/in/Burkina_Faso?f_ri=13211","nofollow":false},{"id":96047,"name":"Case Study","url":"https://www.academia.edu/Documents/in/Case_Study?f_ri=13211","nofollow":false},{"id":647003,"name":"Rural Area","url":"https://www.academia.edu/Documents/in/Rural_Area?f_ri=13211"},{"id":826866,"name":"Exterior Orientation","url":"https://www.academia.edu/Documents/in/Exterior_Orientation?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_2214674" data-work_id="2214674" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/2214674/Does_Lake_Titicaca_still_control_the_Lake_Poop%C3%B3_system_water_levels_An_investigation_using_satellite_altimetry_and_MODIS_data_2000_2009_">Does Lake Titicaca still control the Lake Poopó system water levels? An investigation using satellite altimetry and MODIS data (2000–2009)</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Complementary analysis of satellite mission data (altimetry, Moderate Resolution Imaging Spectroradiometers (MODIS)) and climate fields over 2000–2009 was conducted to investigate the variability of the water cover surfaces and the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_2214674" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Complementary analysis of satellite mission data (altimetry, Moderate Resolution Imaging Spectroradiometers (MODIS)) and climate fields over 2000–2009 was conducted to investigate the variability of the water cover surfaces and the geographical source of water inflowing into the Lake Poopó system. The results suggest that over the time span of 2000–2009 a great part of the variability of the Poopó system originates from geographic sources other than Lake Titicaca. Possible alternative causes include climate change inducing increased temperatures and greater evaporation rates along the Altiplano; increased glacier and snow melting over the Andes Cordillera; and a potential increased anthropogenic water use (such as irrigation, minery, etc.) throughout the path of the Desaguadero River (which connects lakes Titicaca and Poopó). This change in the hydrology of this region could lead to a collapse of water supplies and endanger the already fragile Poopó system as well as the regional socioeconomic system, which closely depends upon it.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/2214674" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="d6267343548870890b57732bc480e287" rel="nofollow" data-download="{"attachment_id":34097557,"asset_id":2214674,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/34097557/download_file?st=MTczMjc5NTIxNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="714885" href="https://udec-cl.academia.edu/RodrigoAbarcadelRio">Rodrigo Abarca del Rio</a><script data-card-contents-for-user="714885" type="text/json">{"id":714885,"first_name":"Rodrigo","last_name":"Abarca del Rio","domain_name":"udec-cl","page_name":"RodrigoAbarcadelRio","display_name":"Rodrigo Abarca del Rio","profile_url":"https://udec-cl.academia.edu/RodrigoAbarcadelRio?f_ri=13211","photo":"https://0.academia-photos.com/714885/242903/287201/s65_rodrigo.abarca_del_rio.jpg"}</script></span></span></li><li class="js-paper-rank-work_2214674 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="2214674"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 2214674, container: ".js-paper-rank-work_2214674", }); 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An investigation using satellite altimetry and MODIS data (2000–2009)","created_at":"2012-11-28T21:42:13.513-08:00","url":"https://www.academia.edu/2214674/Does_Lake_Titicaca_still_control_the_Lake_Poop%C3%B3_system_water_levels_An_investigation_using_satellite_altimetry_and_MODIS_data_2000_2009_?f_ri=13211","dom_id":"work_2214674","summary":"Complementary analysis of satellite mission data (altimetry, Moderate Resolution Imaging Spectroradiometers (MODIS)) and climate fields over 2000–2009 was conducted to investigate the variability of the water cover surfaces and the geographical source of water inflowing into the Lake Poopó system. The results suggest that over the time span of 2000–2009 a great part of the variability of the Poopó system originates from geographic sources other than Lake Titicaca. Possible alternative causes include climate change inducing increased temperatures and greater evaporation rates along the Altiplano; increased glacier and snow melting over the Andes Cordillera; and a potential increased anthropogenic water use (such as irrigation, minery, etc.) throughout the path of the Desaguadero River (which connects lakes Titicaca and Poopó). This change in the hydrology of this region could lead to a collapse of water supplies and endanger the already fragile Poopó system as well as the regional socioeconomic system, which closely depends upon it.","downloadable_attachments":[{"id":34097557,"asset_id":2214674,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":714885,"first_name":"Rodrigo","last_name":"Abarca del Rio","domain_name":"udec-cl","page_name":"RodrigoAbarcadelRio","display_name":"Rodrigo Abarca del Rio","profile_url":"https://udec-cl.academia.edu/RodrigoAbarcadelRio?f_ri=13211","photo":"https://0.academia-photos.com/714885/242903/287201/s65_rodrigo.abarca_del_rio.jpg"}],"research_interests":[{"id":284,"name":"Hydrology/Hydrography","url":"https://www.academia.edu/Documents/in/Hydrology_Hydrography?f_ri=13211","nofollow":false},{"id":400,"name":"Earth Sciences","url":"https://www.academia.edu/Documents/in/Earth_Sciences?f_ri=13211","nofollow":false},{"id":402,"name":"Environmental 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resources","url":"https://www.academia.edu/Documents/in/Hydrology_and_water_resources?f_ri=13211"},{"id":279009,"name":"Lake","url":"https://www.academia.edu/Documents/in/Lake?f_ri=13211"},{"id":377003,"name":"Titicaca Basin","url":"https://www.academia.edu/Documents/in/Titicaca_Basin?f_ri=13211"},{"id":474727,"name":"Altiplano","url":"https://www.academia.edu/Documents/in/Altiplano?f_ri=13211"},{"id":572262,"name":"Southern Titicaca Basin","url":"https://www.academia.edu/Documents/in/Southern_Titicaca_Basin?f_ri=13211"},{"id":1129238,"name":"Saline Lakes","url":"https://www.academia.edu/Documents/in/Saline_Lakes?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_58201633" data-work_id="58201633" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/58201633/The_Use_of_Radar_Remote_Sensing_for_Identifying_Environmental_Factors_Associated_with_Malaria_Risk_in_Coastal_Kenya">The Use of Radar Remote Sensing for Identifying Environmental Factors Associated with Malaria Risk in Coastal Kenya</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/58201633" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="2b5f0edeaa63f6498a7375419d88016c" rel="nofollow" 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sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="18625" href="https://www.academia.edu/Documents/in/Sea_Level">Sea Level</a>, <script data-card-contents-for-ri="18625" type="text/json">{"id":18625,"name":"Sea Level","url":"https://www.academia.edu/Documents/in/Sea_Level?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="48814" href="https://www.academia.edu/Documents/in/Indian_Ocean">Indian Ocean</a><script data-card-contents-for-ri="48814" type="text/json">{"id":48814,"name":"Indian Ocean","url":"https://www.academia.edu/Documents/in/Indian_Ocean?f_ri=13211","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=58201633]'), work: {"id":58201633,"title":"The Use of Radar Remote Sensing for Identifying Environmental Factors Associated with Malaria Risk in Coastal Kenya","created_at":"2021-10-15T12:28:45.375-07:00","url":"https://www.academia.edu/58201633/The_Use_of_Radar_Remote_Sensing_for_Identifying_Environmental_Factors_Associated_with_Malaria_Risk_in_Coastal_Kenya?f_ri=13211","dom_id":"work_58201633","summary":null,"downloadable_attachments":[{"id":72727640,"asset_id":58201633,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":46592482,"first_name":"Charles","last_name":"Mbogo","domain_name":"independent","page_name":"CMbogo","display_name":"Charles Mbogo","profile_url":"https://independent.academia.edu/CMbogo?f_ri=13211","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=13211","nofollow":false},{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false},{"id":18625,"name":"Sea Level","url":"https://www.academia.edu/Documents/in/Sea_Level?f_ri=13211","nofollow":false},{"id":48814,"name":"Indian Ocean","url":"https://www.academia.edu/Documents/in/Indian_Ocean?f_ri=13211","nofollow":false},{"id":56368,"name":"Image Classification","url":"https://www.academia.edu/Documents/in/Image_Classification?f_ri=13211"},{"id":57433,"name":"Seasonality","url":"https://www.academia.edu/Documents/in/Seasonality?f_ri=13211"},{"id":79495,"name":"Land Cover","url":"https://www.academia.edu/Documents/in/Land_Cover?f_ri=13211"},{"id":132270,"name":"Developing World","url":"https://www.academia.edu/Documents/in/Developing_World?f_ri=13211"},{"id":142810,"name":"Surface Water","url":"https://www.academia.edu/Documents/in/Surface_Water?f_ri=13211"},{"id":208877,"name":"Satellite Imagery","url":"https://www.academia.edu/Documents/in/Satellite_Imagery?f_ri=13211"},{"id":387102,"name":"Environmental Conditions","url":"https://www.academia.edu/Documents/in/Environmental_Conditions?f_ri=13211"},{"id":521881,"name":"World Health Organization","url":"https://www.academia.edu/Documents/in/World_Health_Organization?f_ri=13211"},{"id":611424,"name":"Sub Saharan Africa","url":"https://www.academia.edu/Documents/in/Sub_Saharan_Africa?f_ri=13211"},{"id":688064,"name":"Coastal Plain","url":"https://www.academia.edu/Documents/in/Coastal_Plain?f_ri=13211"},{"id":828727,"name":"Vector Borne Disease","url":"https://www.academia.edu/Documents/in/Vector_Borne_Disease?f_ri=13211"},{"id":1163319,"name":"Risk Map","url":"https://www.academia.edu/Documents/in/Risk_Map?f_ri=13211"},{"id":3092161,"name":"Dry Season","url":"https://www.academia.edu/Documents/in/Dry_Season?f_ri=13211"},{"id":3807870,"name":"Environmental factor","url":"https://www.academia.edu/Documents/in/Environmental_factor?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 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data-has-card-for-user="36994540" href="https://cnr-it.academia.edu/simonepascucci">simone pascucci</a><script data-card-contents-for-user="36994540" type="text/json">{"id":36994540,"first_name":"simone","last_name":"pascucci","domain_name":"cnr-it","page_name":"simonepascucci","display_name":"simone pascucci","profile_url":"https://cnr-it.academia.edu/simonepascucci?f_ri=13211","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_29296405 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="29296405"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 29296405, container: ".js-paper-rank-work_29296405", }); });</script></li><li class="js-percentile-work_29296405 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x 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sensing</a>, <script data-card-contents-for-ri="13211" type="text/json">{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="45874" href="https://www.academia.edu/Documents/in/Decision_support_system">Decision support system</a>, <script data-card-contents-for-ri="45874" type="text/json">{"id":45874,"name":"Decision support system","url":"https://www.academia.edu/Documents/in/Decision_support_system?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="57433" href="https://www.academia.edu/Documents/in/Seasonality">Seasonality</a><script data-card-contents-for-ri="57433" type="text/json">{"id":57433,"name":"Seasonality","url":"https://www.academia.edu/Documents/in/Seasonality?f_ri=13211","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=29296405]'), work: {"id":29296405,"title":"Lake Victoria aquatic weeds monitoring by high spatial and spectral resolution satellite imagery","created_at":"2016-10-20T05:08:44.566-07:00","url":"https://www.academia.edu/29296405/Lake_Victoria_aquatic_weeds_monitoring_by_high_spatial_and_spectral_resolution_satellite_imagery?f_ri=13211","dom_id":"work_29296405","summary":null,"downloadable_attachments":[{"id":49738716,"asset_id":29296405,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":36994540,"first_name":"simone","last_name":"pascucci","domain_name":"cnr-it","page_name":"simonepascucci","display_name":"simone pascucci","profile_url":"https://cnr-it.academia.edu/simonepascucci?f_ri=13211","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":4456,"name":"Time Series","url":"https://www.academia.edu/Documents/in/Time_Series?f_ri=13211","nofollow":false},{"id":13211,"name":"Satellite remote 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Imagery","url":"https://www.academia.edu/Documents/in/Satellite_Imagery?f_ri=13211"},{"id":289515,"name":"Satellite Data","url":"https://www.academia.edu/Documents/in/Satellite_Data?f_ri=13211"},{"id":348966,"name":"Lake Victoria","url":"https://www.academia.edu/Documents/in/Lake_Victoria?f_ri=13211"},{"id":509556,"name":"Human Activity","url":"https://www.academia.edu/Documents/in/Human_Activity?f_ri=13211"},{"id":815663,"name":"Aquatic Weeds","url":"https://www.academia.edu/Documents/in/Aquatic_Weeds?f_ri=13211"},{"id":998885,"name":"Feature Analysis","url":"https://www.academia.edu/Documents/in/Feature_Analysis?f_ri=13211"},{"id":1358284,"name":"Spectral Resolution","url":"https://www.academia.edu/Documents/in/Spectral_Resolution?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_10991310" data-work_id="10991310" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/10991310/The_efficacy_of_TM_satellite_imagery_for_rapid_assessment_of_Chihuahuan_xeric_habitat_intactness_for_ecoregion_scale_conservation_planning">The efficacy of TM satellite imagery for rapid assessment of Chihuahuan xeric habitat intactness for ecoregion-scale conservation planning</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">A critical step in designing effective conservation landscapes is the identification of relatively intact natural habitats. Satellite remote sensing has been effectively used to distinguish relatively intact and degraded forests at a... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_10991310" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">A critical step in designing effective conservation landscapes is the identification of relatively intact natural habitats. Satellite remote sensing has been effectively used to distinguish relatively intact and degraded forests at a number of scales. However, the utility of remote sensing data for rapid and cost-effective assessments of habitat intactness across large arid regions has not been adequately tested. To this end, we tested the ability of TM imagery to rapidly discriminate different levels of habitat degradation across large regions of the Chihuahuan Desert. We were able to identify relatively intact habitat in many cases. However, degraded habitat was often misidentified as relatively intact. The use of both mid- and late-season imagery provides some improvement by highlighting phenological differences among the intactness classes. Overall, low vegetation cover and inter- and intra-seasonal variability diminish the utility of TM imagery for large-scale conservation planning in the Chihuahuan Desert.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/10991310" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="6bdbd19a3034b28391c557d2fe8c6c4c" rel="nofollow" data-download="{"attachment_id":46980409,"asset_id":10991310,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/46980409/download_file?st=MTczMjc5NTIxNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="26621028" href="https://independent.academia.edu/reynajesus">jesus reyna</a><script data-card-contents-for-user="26621028" type="text/json">{"id":26621028,"first_name":"jesus","last_name":"reyna","domain_name":"independent","page_name":"reynajesus","display_name":"jesus reyna","profile_url":"https://independent.academia.edu/reynajesus?f_ri=13211","photo":"https://0.academia-photos.com/26621028/22997651/22127066/s65_jesus.reyna.jpg"}</script></span></span></li><li class="js-paper-rank-work_10991310 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="10991310"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 10991310, container: ".js-paper-rank-work_10991310", }); });</script></li><li class="js-percentile-work_10991310 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 10991310; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_10991310"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_10991310 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="10991310"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 10991310; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=10991310]").text(description); $(".js-view-count-work_10991310").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_10991310").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="10991310"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">17</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="400" href="https://www.academia.edu/Documents/in/Earth_Sciences">Earth Sciences</a>, <script data-card-contents-for-ri="400" type="text/json">{"id":400,"name":"Earth Sciences","url":"https://www.academia.edu/Documents/in/Earth_Sciences?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1252" href="https://www.academia.edu/Documents/in/Remote_Sensing">Remote Sensing</a>, <script data-card-contents-for-ri="1252" type="text/json">{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9098" href="https://www.academia.edu/Documents/in/Arid_environments">Arid environments</a>, <script data-card-contents-for-ri="9098" type="text/json">{"id":9098,"name":"Arid environments","url":"https://www.academia.edu/Documents/in/Arid_environments?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="13211" href="https://www.academia.edu/Documents/in/Satellite_remote_sensing">Satellite remote sensing</a><script data-card-contents-for-ri="13211" type="text/json">{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=10991310]'), work: {"id":10991310,"title":"The efficacy of TM satellite imagery for rapid assessment of Chihuahuan xeric habitat intactness for ecoregion-scale conservation planning","created_at":"2015-02-22T09:54:45.913-08:00","url":"https://www.academia.edu/10991310/The_efficacy_of_TM_satellite_imagery_for_rapid_assessment_of_Chihuahuan_xeric_habitat_intactness_for_ecoregion_scale_conservation_planning?f_ri=13211","dom_id":"work_10991310","summary":"A critical step in designing effective conservation landscapes is the identification of relatively intact natural habitats. Satellite remote sensing has been effectively used to distinguish relatively intact and degraded forests at a number of scales. However, the utility of remote sensing data for rapid and cost-effective assessments of habitat intactness across large arid regions has not been adequately tested. To this end, we tested the ability of TM imagery to rapidly discriminate different levels of habitat degradation across large regions of the Chihuahuan Desert. We were able to identify relatively intact habitat in many cases. However, degraded habitat was often misidentified as relatively intact. The use of both mid- and late-season imagery provides some improvement by highlighting phenological differences among the intactness classes. Overall, low vegetation cover and inter- and intra-seasonal variability diminish the utility of TM imagery for large-scale conservation planning in the Chihuahuan Desert.","downloadable_attachments":[{"id":46980409,"asset_id":10991310,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":26621028,"first_name":"jesus","last_name":"reyna","domain_name":"independent","page_name":"reynajesus","display_name":"jesus reyna","profile_url":"https://independent.academia.edu/reynajesus?f_ri=13211","photo":"https://0.academia-photos.com/26621028/22997651/22127066/s65_jesus.reyna.jpg"}],"research_interests":[{"id":400,"name":"Earth Sciences","url":"https://www.academia.edu/Documents/in/Earth_Sciences?f_ri=13211","nofollow":false},{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=13211","nofollow":false},{"id":9098,"name":"Arid environments","url":"https://www.academia.edu/Documents/in/Arid_environments?f_ri=13211","nofollow":false},{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false},{"id":30491,"name":"Conservation planning","url":"https://www.academia.edu/Documents/in/Conservation_planning?f_ri=13211"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences?f_ri=13211"},{"id":57433,"name":"Seasonality","url":"https://www.academia.edu/Documents/in/Seasonality?f_ri=13211"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences?f_ri=13211"},{"id":165565,"name":"Cost effectiveness","url":"https://www.academia.edu/Documents/in/Cost_effectiveness?f_ri=13211"},{"id":208877,"name":"Satellite Imagery","url":"https://www.academia.edu/Documents/in/Satellite_Imagery?f_ri=13211"},{"id":261662,"name":"Arid Region","url":"https://www.academia.edu/Documents/in/Arid_Region?f_ri=13211"},{"id":496815,"name":"Arid","url":"https://www.academia.edu/Documents/in/Arid?f_ri=13211"},{"id":574000,"name":"THERMAL INFRARED REMOTE SENSING DATA","url":"https://www.academia.edu/Documents/in/THERMAL_INFRARED_REMOTE_SENSING_DATA?f_ri=13211"},{"id":580410,"name":"Habitat Degradation","url":"https://www.academia.edu/Documents/in/Habitat_Degradation?f_ri=13211"},{"id":758278,"name":"Large Scale","url":"https://www.academia.edu/Documents/in/Large_Scale?f_ri=13211"},{"id":788416,"name":"Vegetation Cover","url":"https://www.academia.edu/Documents/in/Vegetation_Cover?f_ri=13211"},{"id":1178762,"name":"Rapid Assessment","url":"https://www.academia.edu/Documents/in/Rapid_Assessment?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_18336213 coauthored" data-work_id="18336213" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/18336213/The_delineation_of_agricultural_management_zones_with_high_resolution_remotely_sensed_data">The delineation of agricultural management zones with high resolution remotely sensed data</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Abstract Remote sensing (RS) techniques have been widely considered to be a prom-ising source of information for land management decisions. The objective of this study was to develop and compare different methods of delineating management... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_18336213" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Abstract Remote sensing (RS) techniques have been widely considered to be a prom-ising source of information for land management decisions. The objective of this study was to develop and compare different methods of delineating management zones (MZs) in a field of winter ...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/18336213" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="cb721156a99425439345f06d3bd1e375" rel="nofollow" data-download="{"attachment_id":42176937,"asset_id":18336213,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/42176937/download_file?st=MTczMjc5NTIxNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="38326172" href="https://independent.academia.edu/RuiliangPu">Ruiliang Pu</a><script data-card-contents-for-user="38326172" type="text/json">{"id":38326172,"first_name":"Ruiliang","last_name":"Pu","domain_name":"independent","page_name":"RuiliangPu","display_name":"Ruiliang Pu","profile_url":"https://independent.academia.edu/RuiliangPu?f_ri=13211","photo":"/images/s65_no_pic.png"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-18336213">+1</span><div class="hidden js-additional-users-18336213"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://radi.academia.edu/LiangyunLiu">Liangyun Liu</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-18336213'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-18336213').html(); 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Depth","url":"https://www.academia.edu/Documents/in/Water_Depth?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_40083554" data-work_id="40083554" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/40083554/Indonesian_Non_GSO_Satellites_Current_Operations_and_Future_Predictions_Satelit_Non_GSO_di_Indonesia_Operasi_Saat_Ini_dan_Perkiraan_Masa_Depan">Indonesian Non-GSO Satellites: Current Operations and Future Predictions Satelit Non-GSO di Indonesia: Operasi Saat Ini dan Perkiraan Masa Depan</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Indonesian satellite operations are mainly known for the operation of geostationary orbit (GSO) satellites for telecommunication missions. In the last decade, however, the activities of non-GSO satellites in Indonesia are significantly... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_40083554" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Indonesian satellite operations are mainly known for the operation of geostationary orbit (GSO) satellites for telecommunication missions. In the last decade, however, the activities of non-GSO satellites in Indonesia are significantly increasing. Therefore, the objectives of this research are to find out the cause of the growth and to predict the future operation of non-GSO satellites in Indonesia. For such purpose, review on the operation of non-GSO satellites in the past and now was done. Analysis on the characteristics of their missions, owners/operators, and technical characteristics of the satellites were done. Literature studies on the global trends and their defining strategic environments were also done to complete the insight. The study shows that increase in the use of non-GSO satellites is caused by the growth in remote sensing application, M2M application, and development of LAPAN's satellites. In the future, the growth of non-GSO remote sensing satellite is predicted to be caused by the same reason. The increase in the use of non-GSO telecommunication satellites, however, will be affected more by the new global trend. The increase in non-GSO remote sensing satellites does not affect significantly on the needs of frequency and ground stations. The increase in the non-GSO telecommunication satellites, however, needs significant additional frequency allocations and ground stations.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/40083554" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="2289dd99e77f5ff878418c0529de670b" rel="nofollow" data-download="{"attachment_id":60290011,"asset_id":40083554,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/60290011/download_file?st=MTczMjc5NTIxNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="96764406" href="https://lapan.academia.edu/whasbi">Wahyudi Hasbi</a><script data-card-contents-for-user="96764406" type="text/json">{"id":96764406,"first_name":"Wahyudi","last_name":"Hasbi","domain_name":"lapan","page_name":"whasbi","display_name":"Wahyudi Hasbi","profile_url":"https://lapan.academia.edu/whasbi?f_ri=13211","photo":"https://0.academia-photos.com/96764406/26016240/37015642/s65_wahyudi.hasbi.jpeg"}</script></span></span></li><li class="js-paper-rank-work_40083554 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="40083554"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 40083554, container: ".js-paper-rank-work_40083554", }); 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In the last decade, however, the activities of non-GSO satellites in Indonesia are significantly increasing. Therefore, the objectives of this research are to find out the cause of the growth and to predict the future operation of non-GSO satellites in Indonesia. For such purpose, review on the operation of non-GSO satellites in the past and now was done. Analysis on the characteristics of their missions, owners/operators, and technical characteristics of the satellites were done. Literature studies on the global trends and their defining strategic environments were also done to complete the insight. The study shows that increase in the use of non-GSO satellites is caused by the growth in remote sensing application, M2M application, and development of LAPAN's satellites. In the future, the growth of non-GSO remote sensing satellite is predicted to be caused by the same reason. The increase in the use of non-GSO telecommunication satellites, however, will be affected more by the new global trend. The increase in non-GSO remote sensing satellites does not affect significantly on the needs of frequency and ground stations. The increase in the non-GSO telecommunication satellites, however, needs significant additional frequency allocations and ground stations. ","downloadable_attachments":[{"id":60290011,"asset_id":40083554,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":96764406,"first_name":"Wahyudi","last_name":"Hasbi","domain_name":"lapan","page_name":"whasbi","display_name":"Wahyudi Hasbi","profile_url":"https://lapan.academia.edu/whasbi?f_ri=13211","photo":"https://0.academia-photos.com/96764406/26016240/37015642/s65_wahyudi.hasbi.jpeg"}],"research_interests":[{"id":5765,"name":"Satellite Technology","url":"https://www.academia.edu/Documents/in/Satellite_Technology?f_ri=13211","nofollow":false},{"id":11569,"name":"Satellite Communications","url":"https://www.academia.edu/Documents/in/Satellite_Communications?f_ri=13211","nofollow":false},{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false},{"id":45520,"name":"Small Satellite 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type="text/json">{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="25220" href="https://www.academia.edu/Documents/in/Income_Distribution">Income Distribution</a>, <script data-card-contents-for-ri="25220" type="text/json">{"id":25220,"name":"Income Distribution","url":"https://www.academia.edu/Documents/in/Income_Distribution?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="186228" href="https://www.academia.edu/Documents/in/Indian_economy">Indian economy</a><script data-card-contents-for-ri="186228" type="text/json">{"id":186228,"name":"Indian economy","url":"https://www.academia.edu/Documents/in/Indian_economy?f_ri=13211","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=70824641]'), work: 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mapping flood hazard</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/502458" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="12f265f23613b4e3f2bb47020f008063" rel="nofollow" data-download="{"attachment_id":51382777,"asset_id":502458,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" 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data-has-card-for-ri="153" href="https://www.academia.edu/Documents/in/Landscape_Ecology">Landscape Ecology</a>, <script data-card-contents-for-ri="153" type="text/json">{"id":153,"name":"Landscape Ecology","url":"https://www.academia.edu/Documents/in/Landscape_Ecology?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="400" href="https://www.academia.edu/Documents/in/Earth_Sciences">Earth Sciences</a>, <script data-card-contents-for-ri="400" type="text/json">{"id":400,"name":"Earth Sciences","url":"https://www.academia.edu/Documents/in/Earth_Sciences?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1252" href="https://www.academia.edu/Documents/in/Remote_Sensing">Remote Sensing</a>, <script data-card-contents-for-ri="1252" type="text/json">{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="8827" href="https://www.academia.edu/Documents/in/East_Africa">East Africa</a><script data-card-contents-for-ri="8827" type="text/json">{"id":8827,"name":"East Africa","url":"https://www.academia.edu/Documents/in/East_Africa?f_ri=13211","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=49117736]'), work: {"id":49117736,"title":"Satellite remote sensing of breeding habitat for an African weaver-bird","created_at":"2021-06-03T18:16:04.510-07:00","url":"https://www.academia.edu/49117736/Satellite_remote_sensing_of_breeding_habitat_for_an_African_weaver_bird?f_ri=13211","dom_id":"work_49117736","summary":null,"downloadable_attachments":[{"id":67510212,"asset_id":49117736,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":232498,"first_name":"Herman","last_name":"Shugart","domain_name":"virginia","page_name":"HermanShugart","display_name":"Herman 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Resolution","url":"https://www.academia.edu/Documents/in/Temporal_Resolution?f_ri=13211"},{"id":22831,"name":"Landscape","url":"https://www.academia.edu/Documents/in/Landscape?f_ri=13211"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences?f_ri=13211"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences?f_ri=13211"},{"id":73602,"name":"Habitat Suitability","url":"https://www.academia.edu/Documents/in/Habitat_Suitability?f_ri=13211"},{"id":169636,"name":"Species Distribution","url":"https://www.academia.edu/Documents/in/Species_Distribution?f_ri=13211"},{"id":521578,"name":"Vegetation dynamics","url":"https://www.academia.edu/Documents/in/Vegetation_dynamics?f_ri=13211"},{"id":611424,"name":"Sub Saharan Africa","url":"https://www.academia.edu/Documents/in/Sub_Saharan_Africa?f_ri=13211"},{"id":2953864,"name":"Advanced Very High Resolution Radiometer (AVHRR) ","url":"https://www.academia.edu/Documents/in/Advanced_Very_High_Resolution_Radiometer_AVHRR_?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_9517203" data-work_id="9517203" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/9517203/True_Color_Earth_Data_Set_Includes_Seasonal_Dynamics">True Color Earth Data Set Includes Seasonal Dynamics</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/9517203" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa 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itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="22335447" href="https://uaeu.academia.edu/NazmiSaleous">Nazmi Saleous</a><script data-card-contents-for-user="22335447" type="text/json">{"id":22335447,"first_name":"Nazmi","last_name":"Saleous","domain_name":"uaeu","page_name":"NazmiSaleous","display_name":"Nazmi Saleous","profile_url":"https://uaeu.academia.edu/NazmiSaleous?f_ri=13211","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_9517203 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="9517203"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 9517203, container: ".js-paper-rank-work_9517203", }); });</script></li><li class="js-percentile-work_9517203 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 9517203; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_9517203"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_9517203 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="9517203"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 9517203; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=9517203]").text(description); $(".js-view-count-work_9517203").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_9517203").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="9517203"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">8</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="1252" href="https://www.academia.edu/Documents/in/Remote_Sensing">Remote Sensing</a>, <script data-card-contents-for-ri="1252" type="text/json">{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5359" href="https://www.academia.edu/Documents/in/Visual_perception">Visual perception</a>, <script data-card-contents-for-ri="5359" type="text/json">{"id":5359,"name":"Visual perception","url":"https://www.academia.edu/Documents/in/Visual_perception?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="13211" href="https://www.academia.edu/Documents/in/Satellite_remote_sensing">Satellite remote sensing</a>, <script data-card-contents-for-ri="13211" type="text/json">{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="195260" href="https://www.academia.edu/Documents/in/Weather_Forecasting">Weather Forecasting</a><script data-card-contents-for-ri="195260" type="text/json">{"id":195260,"name":"Weather Forecasting","url":"https://www.academia.edu/Documents/in/Weather_Forecasting?f_ri=13211","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=9517203]'), work: {"id":9517203,"title":"True Color Earth Data Set Includes Seasonal Dynamics","created_at":"2014-11-26T18:32:19.214-08:00","url":"https://www.academia.edu/9517203/True_Color_Earth_Data_Set_Includes_Seasonal_Dynamics?f_ri=13211","dom_id":"work_9517203","summary":null,"downloadable_attachments":[{"id":47746674,"asset_id":9517203,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":22335447,"first_name":"Nazmi","last_name":"Saleous","domain_name":"uaeu","page_name":"NazmiSaleous","display_name":"Nazmi Saleous","profile_url":"https://uaeu.academia.edu/NazmiSaleous?f_ri=13211","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=13211","nofollow":false},{"id":5359,"name":"Visual perception","url":"https://www.academia.edu/Documents/in/Visual_perception?f_ri=13211","nofollow":false},{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false},{"id":195260,"name":"Weather Forecasting","url":"https://www.academia.edu/Documents/in/Weather_Forecasting?f_ri=13211","nofollow":false},{"id":495625,"name":"Biological Process","url":"https://www.academia.edu/Documents/in/Biological_Process?f_ri=13211"},{"id":604200,"name":"Spatial resolution","url":"https://www.academia.edu/Documents/in/Spatial_resolution?f_ri=13211"},{"id":1140559,"name":"Field of View","url":"https://www.academia.edu/Documents/in/Field_of_View?f_ri=13211"},{"id":1227452,"name":"Seasonal Dynamics","url":"https://www.academia.edu/Documents/in/Seasonal_Dynamics?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_43135164" data-work_id="43135164" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/43135164/Zmienno%C5%9B%C4%87_i_zr%C3%B3%C5%BCnicowanie_us%C5%82onecznienia_w_Polsce_w_latach_1971_2018_na_podstawie_danych_naziemnych_i_satelitarnych">Zmienność i zróżnicowanie usłonecznienia w Polsce w latach 1971-2018, na podstawie danych naziemnych i satelitarnych</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The aim of the study is to characterize the variability and spatial diversification of sunshine duration in Poland on the basis of ground- and satellite-based data. The study used ground-based data (SDUmet) from the years 1971-2018 from... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_43135164" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The aim of the study is to characterize the variability and spatial diversification of sunshine duration in Poland on the basis of ground- and satellite-based data. The study used ground-based data (SDUmet) from the years 1971-2018 from 29 IMGW-PIB stations and two stations of the Jagiellonian University. All meteorological stations included in the study were assigned sunshine duration values (SDUsat ), which were the result of observations by the first and second generation Meteosat satellites. Based on ground and satellite data from the years 1983-2018, monthly, seasonal and annual sums were calculated, and were presented on the maps. As a result of the analysis, it was found that there is a significant increasing trend in Poland of annual sunshine duration sums from the 1980s to the maximum in 2018. Average annual sunshine duration sums calculated on the basis of ground-based data range from 1460-1500 hours in the south and south-west of the country to 1800-1830 hours in the north - the eastern Baltic coast by the Gulf of Gdansk. In the prevailing area of the country, sunshine duration ranges from 1700 to 1750 hours per year and gradually decreases from the center towards the south-west, south and north-east. The increase in sunshine duration from mountainous areas towards the lowlands of central Poland is clearly marked. The distribution of annual sums of sunshine duration in Poland on the basis of satellite data has not confirmed the common view that the privileged areas for insolation are the coastal areas and the central and eastern part of Poland, but rather the vast area of central Poland from the Wielkopolskie Lakeland to the Małopolska Upland.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/43135164" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="f73136a316bec43e094e800c243bd1db" rel="nofollow" data-download="{"attachment_id":63394080,"asset_id":43135164,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/63394080/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8927340" href="https://umcs-pl.academia.edu/KrzysztofBartoszek">Krzysztof Bartoszek</a><script data-card-contents-for-user="8927340" type="text/json">{"id":8927340,"first_name":"Krzysztof","last_name":"Bartoszek","domain_name":"umcs-pl","page_name":"KrzysztofBartoszek","display_name":"Krzysztof Bartoszek","profile_url":"https://umcs-pl.academia.edu/KrzysztofBartoszek?f_ri=13211","photo":"https://0.academia-photos.com/8927340/2921836/95839615/s65_krzysztof.bartoszek.jpg"}</script></span></span></li><li class="js-paper-rank-work_43135164 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="43135164"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 43135164, container: ".js-paper-rank-work_43135164", }); });</script></li><li class="js-percentile-work_43135164 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 43135164; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_43135164"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_43135164 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="43135164"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 43135164; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=43135164]").text(description); $(".js-view-count-work_43135164").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_43135164").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="43135164"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">2</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="13211" href="https://www.academia.edu/Documents/in/Satellite_remote_sensing">Satellite remote sensing</a>, <script data-card-contents-for-ri="13211" type="text/json">{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1290754" href="https://www.academia.edu/Documents/in/Sunshine_Duration">Sunshine Duration</a><script data-card-contents-for-ri="1290754" type="text/json">{"id":1290754,"name":"Sunshine Duration","url":"https://www.academia.edu/Documents/in/Sunshine_Duration?f_ri=13211","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=43135164]'), work: {"id":43135164,"title":"Zmienność i zróżnicowanie usłonecznienia w Polsce w latach 1971-2018, na podstawie danych naziemnych i satelitarnych","created_at":"2020-05-22T04:12:10.803-07:00","url":"https://www.academia.edu/43135164/Zmienno%C5%9B%C4%87_i_zr%C3%B3%C5%BCnicowanie_us%C5%82onecznienia_w_Polsce_w_latach_1971_2018_na_podstawie_danych_naziemnych_i_satelitarnych?f_ri=13211","dom_id":"work_43135164","summary":"The aim of the study is to characterize the variability and spatial diversification of sunshine duration in Poland on the basis of ground- and satellite-based data. The study used ground-based data (SDUmet) from the years 1971-2018 from 29 IMGW-PIB stations and two stations of the Jagiellonian University. All meteorological stations included in the study were assigned sunshine duration values (SDUsat ), which were the result of observations by the first and second generation Meteosat satellites. Based on ground and satellite data from the years 1983-2018, monthly, seasonal and annual sums were calculated, and were presented on the maps. As a result of the analysis, it was found that there is a significant increasing trend in Poland of annual sunshine duration sums from the 1980s to the maximum in 2018. Average annual sunshine duration sums calculated on the basis of ground-based data range from 1460-1500 hours in the south and south-west of the country to 1800-1830 hours in the north - the eastern Baltic coast by the Gulf of Gdansk. In the prevailing area of the country, sunshine duration ranges from 1700 to 1750 hours per year and gradually decreases from the center towards the south-west, south and north-east. The increase in sunshine duration from mountainous areas towards the lowlands of central Poland is clearly marked. The distribution of annual sums of sunshine duration in Poland on the basis of satellite data has not confirmed the common view that the privileged areas for insolation are the coastal areas and the central and eastern part of Poland, but rather the vast area of central Poland from the Wielkopolskie Lakeland to the Małopolska Upland.","downloadable_attachments":[{"id":63394080,"asset_id":43135164,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":8927340,"first_name":"Krzysztof","last_name":"Bartoszek","domain_name":"umcs-pl","page_name":"KrzysztofBartoszek","display_name":"Krzysztof Bartoszek","profile_url":"https://umcs-pl.academia.edu/KrzysztofBartoszek?f_ri=13211","photo":"https://0.academia-photos.com/8927340/2921836/95839615/s65_krzysztof.bartoszek.jpg"}],"research_interests":[{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false},{"id":1290754,"name":"Sunshine Duration","url":"https://www.academia.edu/Documents/in/Sunshine_Duration?f_ri=13211","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_6383862" data-work_id="6383862" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/6383862/Nitrogen_uptake_and_primary_productivity_rates_in_the_Mid_Atlantic_Bight_MAB">Nitrogen uptake and primary productivity rates in the Mid-Atlantic Bight (MAB</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Nutrient concentrations, primary productivity, and nitrogen uptake rates were measured in coastal waters of the Mid-Atlantic Bight over a two-year period that included measurements from all four seasons. In order to assess carbon... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_6383862" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Nutrient concentrations, primary productivity, and nitrogen uptake rates were measured in coastal waters of the Mid-Atlantic Bight over a two-year period that included measurements from all four seasons. In order to assess carbon productivity and nitrogen demand within the context of the physical environment, the region was divided into three distinct hydrographic regimes: the Chesapeake and Delaware Bay outflow plumes (PL), the southern Mid-Atlantic shelf influenced by the Gulf Stream (SS), and the mid-shelf area to the north of the Chesapeake Bay mouth (MS). Annual areal rates of total nitrogen (N) uptake were similar across all regions (10.9 ± 2.1 mol N m -2 y -1). However, annual areal rates of net primary productivity were higher in the outflow plume region (43 mol C m -2 y -1), than along the Mid-Atlantic shelf and in areas influenced by the Gulf Stream (41 and 34 mol C m -2 y -1, respectively). Rates of net primary productivity were not well correlated with Chl a concentrations and were uncoupled with net N uptake rates. Seasonally averaged annual areal rates of net primary productivity for the Mid-Atlantic Bight measured in this study were higher than those calculated in previous decades and provide important validation information for biogeochemical models and satellite remote sensing algorithms developed for the region.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/6383862" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="df80531eadb6833bb2189754d572af75" rel="nofollow" data-download="{"attachment_id":48894061,"asset_id":6383862,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/48894061/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="10006121" href="https://odu.academia.edu/KatherineFilippino">Katherine Filippino</a><script data-card-contents-for-user="10006121" type="text/json">{"id":10006121,"first_name":"Katherine","last_name":"Filippino","domain_name":"odu","page_name":"KatherineFilippino","display_name":"Katherine Filippino","profile_url":"https://odu.academia.edu/KatherineFilippino?f_ri=13211","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_6383862 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="6383862"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 6383862, container: ".js-paper-rank-work_6383862", }); });</script></li><li class="js-percentile-work_6383862 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 6383862; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_6383862"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_6383862 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="6383862"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 6383862; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=6383862]").text(description); $(".js-view-count-work_6383862").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_6383862").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="6383862"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">14</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="400" href="https://www.academia.edu/Documents/in/Earth_Sciences">Earth Sciences</a>, <script data-card-contents-for-ri="400" type="text/json">{"id":400,"name":"Earth Sciences","url":"https://www.academia.edu/Documents/in/Earth_Sciences?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="13211" href="https://www.academia.edu/Documents/in/Satellite_remote_sensing">Satellite remote sensing</a>, <script data-card-contents-for-ri="13211" type="text/json">{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="47884" href="https://www.academia.edu/Documents/in/Biological_Sciences">Biological Sciences</a>, <script data-card-contents-for-ri="47884" type="text/json">{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="57433" href="https://www.academia.edu/Documents/in/Seasonality">Seasonality</a><script data-card-contents-for-ri="57433" type="text/json">{"id":57433,"name":"Seasonality","url":"https://www.academia.edu/Documents/in/Seasonality?f_ri=13211","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=6383862]'), work: {"id":6383862,"title":"Nitrogen uptake and primary productivity rates in the Mid-Atlantic Bight (MAB","created_at":"2014-03-12T01:41:40.642-07:00","url":"https://www.academia.edu/6383862/Nitrogen_uptake_and_primary_productivity_rates_in_the_Mid_Atlantic_Bight_MAB?f_ri=13211","dom_id":"work_6383862","summary":"Nutrient concentrations, primary productivity, and nitrogen uptake rates were measured in coastal waters of the Mid-Atlantic Bight over a two-year period that included measurements from all four seasons. In order to assess carbon productivity and nitrogen demand within the context of the physical environment, the region was divided into three distinct hydrographic regimes: the Chesapeake and Delaware Bay outflow plumes (PL), the southern Mid-Atlantic shelf influenced by the Gulf Stream (SS), and the mid-shelf area to the north of the Chesapeake Bay mouth (MS). Annual areal rates of total nitrogen (N) uptake were similar across all regions (10.9 ± 2.1 mol N m -2 y -1). However, annual areal rates of net primary productivity were higher in the outflow plume region (43 mol C m -2 y -1), than along the Mid-Atlantic shelf and in areas influenced by the Gulf Stream (41 and 34 mol C m -2 y -1, respectively). Rates of net primary productivity were not well correlated with Chl a concentrations and were uncoupled with net N uptake rates. Seasonally averaged annual areal rates of net primary productivity for the Mid-Atlantic Bight measured in this study were higher than those calculated in previous decades and provide important validation information for biogeochemical models and satellite remote sensing algorithms developed for the region.","downloadable_attachments":[{"id":48894061,"asset_id":6383862,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":10006121,"first_name":"Katherine","last_name":"Filippino","domain_name":"odu","page_name":"KatherineFilippino","display_name":"Katherine Filippino","profile_url":"https://odu.academia.edu/KatherineFilippino?f_ri=13211","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":400,"name":"Earth Sciences","url":"https://www.academia.edu/Documents/in/Earth_Sciences?f_ri=13211","nofollow":false},{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences?f_ri=13211","nofollow":false},{"id":57433,"name":"Seasonality","url":"https://www.academia.edu/Documents/in/Seasonality?f_ri=13211","nofollow":false},{"id":57874,"name":"Mid-Atlantic Bight","url":"https://www.academia.edu/Documents/in/Mid-Atlantic_Bight?f_ri=13211"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences?f_ri=13211"},{"id":151091,"name":"Nitrogen","url":"https://www.academia.edu/Documents/in/Nitrogen?f_ri=13211"},{"id":166789,"name":"Nitrogen Uptake","url":"https://www.academia.edu/Documents/in/Nitrogen_Uptake?f_ri=13211"},{"id":276812,"name":"Chesapeake Bay","url":"https://www.academia.edu/Documents/in/Chesapeake_Bay?f_ri=13211"},{"id":289852,"name":"Primary Production","url":"https://www.academia.edu/Documents/in/Primary_Production?f_ri=13211"},{"id":571946,"name":"Coastal waters","url":"https://www.academia.edu/Documents/in/Coastal_waters?f_ri=13211"},{"id":575534,"name":"Physical Environment","url":"https://www.academia.edu/Documents/in/Physical_Environment?f_ri=13211"},{"id":870762,"name":"Total Nitrogen","url":"https://www.academia.edu/Documents/in/Total_Nitrogen?f_ri=13211"},{"id":2516464,"name":"Nutrient Concentration","url":"https://www.academia.edu/Documents/in/Nutrient_Concentration?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_7781909" data-work_id="7781909" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/7781909/Spectral_Discrimination_of_Opium_Poppy_Using_Field_Spectrometry">Spectral Discrimination of Opium Poppy Using Field Spectrometry</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Opium is a narcotic obtained from opium poppy and is the raw material of heroin for the illegal drug trade. Monitoring the illegal concentrated cultivation of opium poppy in major regions is critical for the understanding by governments... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_7781909" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Opium is a narcotic obtained from opium poppy and is the raw material of heroin for the illegal drug trade. Monitoring the illegal concentrated cultivation of opium poppy in major regions is critical for the understanding by governments and international communities of the scale of illegal drug trade. This paper investigates whether opium poppy can be discriminated from its coexisting plants using analytical-spectral-device field spectrometer data in the visible to short-wave infrared spectral range. Canopy spectral measurements were conducted during three different growth periods of opium poppy. A synthetic method with three analysis levels was applied to discriminate opium poppy from other species and to select optimal bands for opium poppy discrimination. First, the Mann-Whitney U-test method was used to test the spectral reflectance difference between opium poppy and coexisting crops at each wavelength. Then, the Jeffries-Matusita distance and band correlation analysis were conducted to select the optimal wavebands for discriminating opium poppy using the significant wavebands from the test results. Finally, classification and regression tree analysis was employed to validate the classification accuracy based on the selected optimal wavebands. The results indicated that the spectral reflectance of opium poppy was significantly different from that of coexisting crops in many surveyed wavebands, and opium poppy could be discriminated using a field survey spectrum at canopy level. The best time for discriminating opium poppy from coexisting crops was around flowering time. This paper provided the prerequisite for monitoring opium poppy using satellite remote sensing data in some regions of concern.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/7781909" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="cf0bce5a89a4e97b35f4f052aba91e5c" rel="nofollow" data-download="{"attachment_id":48343430,"asset_id":7781909,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/48343430/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="14332885" href="https://annauniv.academia.edu/giniflower">gini flower</a><script data-card-contents-for-user="14332885" type="text/json">{"id":14332885,"first_name":"gini","last_name":"flower","domain_name":"annauniv","page_name":"giniflower","display_name":"gini flower","profile_url":"https://annauniv.academia.edu/giniflower?f_ri=13211","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_7781909 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="7781909"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 7781909, container: ".js-paper-rank-work_7781909", }); });</script></li><li class="js-percentile-work_7781909 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 7781909; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_7781909"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_7781909 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="7781909"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 7781909; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=7781909]").text(description); $(".js-view-count-work_7781909").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_7781909").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="7781909"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">12</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="409" href="https://www.academia.edu/Documents/in/Geophysics">Geophysics</a>, <script data-card-contents-for-ri="409" type="text/json">{"id":409,"name":"Geophysics","url":"https://www.academia.edu/Documents/in/Geophysics?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1252" href="https://www.academia.edu/Documents/in/Remote_Sensing">Remote Sensing</a>, <script data-card-contents-for-ri="1252" type="text/json">{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="13211" href="https://www.academia.edu/Documents/in/Satellite_remote_sensing">Satellite remote sensing</a>, <script data-card-contents-for-ri="13211" type="text/json">{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="80691" href="https://www.academia.edu/Documents/in/Raw_materials">Raw materials</a><script data-card-contents-for-ri="80691" type="text/json">{"id":80691,"name":"Raw materials","url":"https://www.academia.edu/Documents/in/Raw_materials?f_ri=13211","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=7781909]'), work: {"id":7781909,"title":"Spectral Discrimination of Opium Poppy Using Field Spectrometry","created_at":"2014-07-25T16:40:00.454-07:00","url":"https://www.academia.edu/7781909/Spectral_Discrimination_of_Opium_Poppy_Using_Field_Spectrometry?f_ri=13211","dom_id":"work_7781909","summary":"Opium is a narcotic obtained from opium poppy and is the raw material of heroin for the illegal drug trade. Monitoring the illegal concentrated cultivation of opium poppy in major regions is critical for the understanding by governments and international communities of the scale of illegal drug trade. This paper investigates whether opium poppy can be discriminated from its coexisting plants using analytical-spectral-device field spectrometer data in the visible to short-wave infrared spectral range. Canopy spectral measurements were conducted during three different growth periods of opium poppy. A synthetic method with three analysis levels was applied to discriminate opium poppy from other species and to select optimal bands for opium poppy discrimination. First, the Mann-Whitney U-test method was used to test the spectral reflectance difference between opium poppy and coexisting crops at each wavelength. Then, the Jeffries-Matusita distance and band correlation analysis were conducted to select the optimal wavebands for discriminating opium poppy using the significant wavebands from the test results. Finally, classification and regression tree analysis was employed to validate the classification accuracy based on the selected optimal wavebands. The results indicated that the spectral reflectance of opium poppy was significantly different from that of coexisting crops in many surveyed wavebands, and opium poppy could be discriminated using a field survey spectrum at canopy level. The best time for discriminating opium poppy from coexisting crops was around flowering time. This paper provided the prerequisite for monitoring opium poppy using satellite remote sensing data in some regions of concern.","downloadable_attachments":[{"id":48343430,"asset_id":7781909,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":14332885,"first_name":"gini","last_name":"flower","domain_name":"annauniv","page_name":"giniflower","display_name":"gini flower","profile_url":"https://annauniv.academia.edu/giniflower?f_ri=13211","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":409,"name":"Geophysics","url":"https://www.academia.edu/Documents/in/Geophysics?f_ri=13211","nofollow":false},{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=13211","nofollow":false},{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false},{"id":80691,"name":"Raw materials","url":"https://www.academia.edu/Documents/in/Raw_materials?f_ri=13211","nofollow":false},{"id":102386,"name":"Field Survey","url":"https://www.academia.edu/Documents/in/Field_Survey?f_ri=13211"},{"id":162010,"name":"Geomatic Engineering","url":"https://www.academia.edu/Documents/in/Geomatic_Engineering?f_ri=13211"},{"id":321836,"name":"Spectrum","url":"https://www.academia.edu/Documents/in/Spectrum?f_ri=13211"},{"id":335361,"name":"Infrared","url":"https://www.academia.edu/Documents/in/Infrared?f_ri=13211"},{"id":410595,"name":"Correlation Analysis","url":"https://www.academia.edu/Documents/in/Correlation_Analysis?f_ri=13211"},{"id":501035,"name":"Spectral Reflectance","url":"https://www.academia.edu/Documents/in/Spectral_Reflectance?f_ri=13211"},{"id":1237788,"name":"Electrical And Electronic Engineering","url":"https://www.academia.edu/Documents/in/Electrical_And_Electronic_Engineering?f_ri=13211"},{"id":1425602,"name":"Classification Accuracy","url":"https://www.academia.edu/Documents/in/Classification_Accuracy?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_9137677" data-work_id="9137677" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/9137677/Water_Quality_Retrievals_from_High_Resolution_Ikonos_Multispectral_Imagery_A_Case_Study_in_Istanbul_Turkey">Water Quality Retrievals from High Resolution Ikonos Multispectral Imagery: A Case Study in Istanbul, Turkey</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This paper presents an application of high resolution satellite remote sensing data for mapping water quality in the Goldon Horn, Istanbul. It is an applied research emphasizing the present water quality conditions in this region for... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_9137677" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This paper presents an application of high resolution satellite remote sensing data for mapping water quality in the Goldon Horn, Istanbul. It is an applied research emphasizing the present water quality conditions in this region for water quality parameters; secchi disc depth (SDD), chlorophyl-a (chl-a) and total suspended sediment (TSS) concentration. The study also examines the retrievals of these parameters through high resolution IKONOS multispectral data supported by in situ measurements. Image processing procedure involving radiometric correction is carried out for conversion from digital numbers (DNs) to spectral radiance to correlate water quality parameters and satellite data by using multiple regression technique. The retrieved and verified results show that the measured and estimated values of water quality parameters in good agreement (R 2 > 0.97). The spatial distribution maps are developed by using multiple regression algorithm belonging to water quality parameters. These maps present apparent spatial variations of selected parameters and inform the decision makers of water quality variations in a large water region in the Istanbul metropolitan area.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/9137677" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="a2ec975ce3bd97d1ed0c63af1b80119c" rel="nofollow" data-download="{"attachment_id":47873002,"asset_id":9137677,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/47873002/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="20823909" href="https://aksaray.academia.edu/SemihEkercin">Semih Ekercin</a><script data-card-contents-for-user="20823909" type="text/json">{"id":20823909,"first_name":"Semih","last_name":"Ekercin","domain_name":"aksaray","page_name":"SemihEkercin","display_name":"Semih Ekercin","profile_url":"https://aksaray.academia.edu/SemihEkercin?f_ri=13211","photo":"https://0.academia-photos.com/20823909/5765923/6554060/s65_semih.ekercin.jpg_oh_5c1c8e3d0c42b852948dffec2a5ede53_oe_54e52cff___gda___1424701775_9f353fe4e80da5b8a19f4dc2a4b2237b"}</script></span></span></li><li class="js-paper-rank-work_9137677 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="9137677"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 9137677, container: ".js-paper-rank-work_9137677", }); 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It is an applied research emphasizing the present water quality conditions in this region for water quality parameters; secchi disc depth (SDD), chlorophyl-a (chl-a) and total suspended sediment (TSS) concentration. The study also examines the retrievals of these parameters through high resolution IKONOS multispectral data supported by in situ measurements. Image processing procedure involving radiometric correction is carried out for conversion from digital numbers (DNs) to spectral radiance to correlate water quality parameters and satellite data by using multiple regression technique. The retrieved and verified results show that the measured and estimated values of water quality parameters in good agreement (R 2 \u003e 0.97). The spatial distribution maps are developed by using multiple regression algorithm belonging to water quality parameters. These maps present apparent spatial variations of selected parameters and inform the decision makers of water quality variations in a large water region in the Istanbul metropolitan area.","downloadable_attachments":[{"id":47873002,"asset_id":9137677,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":20823909,"first_name":"Semih","last_name":"Ekercin","domain_name":"aksaray","page_name":"SemihEkercin","display_name":"Semih Ekercin","profile_url":"https://aksaray.academia.edu/SemihEkercin?f_ri=13211","photo":"https://0.academia-photos.com/20823909/5765923/6554060/s65_semih.ekercin.jpg_oh_5c1c8e3d0c42b852948dffec2a5ede53_oe_54e52cff___gda___1424701775_9f353fe4e80da5b8a19f4dc2a4b2237b"}],"research_interests":[{"id":280,"name":"Cartography","url":"https://www.academia.edu/Documents/in/Cartography?f_ri=13211","nofollow":false},{"id":1185,"name":"Image Processing","url":"https://www.academia.edu/Documents/in/Image_Processing?f_ri=13211","nofollow":false},{"id":4523,"name":"Water quality","url":"https://www.academia.edu/Documents/in/Water_quality?f_ri=13211","nofollow":false},{"id":9697,"name":"Applied Research","url":"https://www.academia.edu/Documents/in/Applied_Research?f_ri=13211","nofollow":false},{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary?f_ri=13211"},{"id":96047,"name":"Case Study","url":"https://www.academia.edu/Documents/in/Case_Study?f_ri=13211"},{"id":142810,"name":"Surface Water","url":"https://www.academia.edu/Documents/in/Surface_Water?f_ri=13211"},{"id":192651,"name":"Stream","url":"https://www.academia.edu/Documents/in/Stream?f_ri=13211"},{"id":224578,"name":"Multiple Regression","url":"https://www.academia.edu/Documents/in/Multiple_Regression?f_ri=13211"},{"id":236377,"name":"Spatial Distribution","url":"https://www.academia.edu/Documents/in/Spatial_Distribution?f_ri=13211"},{"id":289515,"name":"Satellite Data","url":"https://www.academia.edu/Documents/in/Satellite_Data?f_ri=13211"},{"id":309086,"name":"High Resolution","url":"https://www.academia.edu/Documents/in/High_Resolution?f_ri=13211"},{"id":453368,"name":"Spatial Variation","url":"https://www.academia.edu/Documents/in/Spatial_Variation?f_ri=13211"},{"id":622367,"name":"Water Quality","url":"https://www.academia.edu/Documents/in/Water_Quality-1?f_ri=13211"},{"id":821516,"name":"Decision Maker","url":"https://www.academia.edu/Documents/in/Decision_Maker?f_ri=13211"},{"id":1431418,"name":"Chlorophyll a","url":"https://www.academia.edu/Documents/in/Chlorophyll_a?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_40859574" data-work_id="40859574" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/40859574/OBJECT_BASED_IMAGE_CLASSIFICATION_OF_POPLAR_TREE_WITH_ENSEMBLE_LEARNING_METHODS_USING_SENTINEL_2_IMAGERY">OBJECT-BASED IMAGE CLASSIFICATION OF POPLAR TREE WITH ENSEMBLE LEARNING METHODS USING SENTINEL-2 IMAGERY</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Forests are of great importance for the sustainability of the ecosystem as well as for the mankind. The poplar species in the forest ecosystems are one of the most valuable and beneficial species for the society and environment. Turkey is... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_40859574" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Forests are of great importance for the sustainability of the ecosystem as well as for the mankind. The poplar species in the forest ecosystems are one of the most valuable and beneficial species for the society and environment. Turkey is a very rich country in terms of cultivated poplar species. The determination of poplar areas in Turkey is usually based on field studies. Although these methods require high cost, time and labor need, the results obtained vary and are insufficient in terms of accuracy. Determination of poplar cultivated areas and mapping of their spatial locations play an important role for decision-makers and planners to enhance the economic and ecological value of poplar trees. The main goal of this study is to map Poplar (P.deltoides) cultivated areas in Akyazi district of Sakarya, Turkey province using the Sentinel-2 satellite imagery. For this purpose, object-based classification based on multi-resolution segmentation algorithm was utilized to create image objects and then, two outstanding ensemble learning algorithms, Random Forest (RF) and Rotation Forest (RotFor) were applied to produce thematic maps. In order to analyze the effects of the spectral bands of the Sentinel-2 image on the object-based classification performance, two datasets consisting of different spectral band combinations (i.e. four 10m bands and 10m ten pan-sharpened bands) were used. The performance evaluation results showed that the RotFor classifier produced superior classification performances compared to the RF classifier for the band combinations considered in this study. It was also observed that the difference in classification accuracy reached to approximately 6% in terms of overall accuracy. Moreover, results that Sentinel-2 image dataset having 4-band dataset and 10-band dataset was effective for determination of poplar areas and the class level accuracy reached to ~99% in terms of F-score.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/40859574" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="35995a9a8ec32208d5ef14b9c2c142f7" rel="nofollow" data-download="{"attachment_id":61145092,"asset_id":40859574,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/61145092/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="19483582" href="https://gtu-tr.academia.edu/TaskinKavzoglu">Taskin Kavzoglu</a><script data-card-contents-for-user="19483582" type="text/json">{"id":19483582,"first_name":"Taskin","last_name":"Kavzoglu","domain_name":"gtu-tr","page_name":"TaskinKavzoglu","display_name":"Taskin Kavzoglu","profile_url":"https://gtu-tr.academia.edu/TaskinKavzoglu?f_ri=13211","photo":"https://0.academia-photos.com/19483582/5429609/11509786/s65_taskin.kavzoglu.jpg"}</script></span></span></li><li class="js-paper-rank-work_40859574 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="40859574"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 40859574, container: ".js-paper-rank-work_40859574", }); 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The poplar species in the forest ecosystems are one of the most valuable and beneficial species for the society and environment. Turkey is a very rich country in terms of cultivated poplar species. The determination of poplar areas in Turkey is usually based on field studies. Although these methods require high cost, time and labor need, the results obtained vary and are insufficient in terms of accuracy. Determination of poplar cultivated areas and mapping of their spatial locations play an important role for decision-makers and planners to enhance the economic and ecological value of poplar trees. The main goal of this study is to map Poplar (P.deltoides) cultivated areas in Akyazi district of Sakarya, Turkey province using the Sentinel-2 satellite imagery. For this purpose, object-based classification based on multi-resolution segmentation algorithm was utilized to create image objects and then, two outstanding ensemble learning algorithms, Random Forest (RF) and Rotation Forest (RotFor) were applied to produce thematic maps. In order to analyze the effects of the spectral bands of the Sentinel-2 image on the object-based classification performance, two datasets consisting of different spectral band combinations (i.e. four 10m bands and 10m ten pan-sharpened bands) were used. The performance evaluation results showed that the RotFor classifier produced superior classification performances compared to the RF classifier for the band combinations considered in this study. It was also observed that the difference in classification accuracy reached to approximately 6% in terms of overall accuracy. Moreover, results that Sentinel-2 image dataset having 4-band dataset and 10-band dataset was effective for determination of poplar areas and the class level accuracy reached to ~99% in terms of F-score.","downloadable_attachments":[{"id":61145092,"asset_id":40859574,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":19483582,"first_name":"Taskin","last_name":"Kavzoglu","domain_name":"gtu-tr","page_name":"TaskinKavzoglu","display_name":"Taskin Kavzoglu","profile_url":"https://gtu-tr.academia.edu/TaskinKavzoglu?f_ri=13211","photo":"https://0.academia-photos.com/19483582/5429609/11509786/s65_taskin.kavzoglu.jpg"}],"research_interests":[{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=13211","nofollow":false},{"id":4095,"name":"Classification (Machine Learning)","url":"https://www.academia.edu/Documents/in/Classification_Machine_Learning_?f_ri=13211","nofollow":false},{"id":13211,"name":"Satellite remote 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Analysis)","url":"https://www.academia.edu/Documents/in/OBIA_Object_Based_Image_Analysis_?f_ri=13211"},{"id":1389742,"name":"Copernicus Sentinel-2 (MSI) Mission","url":"https://www.academia.edu/Documents/in/Copernicus_Sentinel-2_MSI_Mission?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_31631220 coauthored" data-work_id="31631220" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/31631220/Getting_Back_to_the_Basics_Museum_Collections_and_Satellite_Imagery_Are_Critical_to_Analyzing_Species_Diversity">Getting Back to the Basics: Museum Collections and Satellite Imagery Are Critical to Analyzing Species Diversity</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li 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data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1324859" href="https://depaul.academia.edu/No%C3%A9delaSancha">Noé U de la Sancha</a><script data-card-contents-for-user="1324859" type="text/json">{"id":1324859,"first_name":"Noé","last_name":"de la Sancha","domain_name":"depaul","page_name":"NoédelaSancha","display_name":"Noé U de la Sancha","profile_url":"https://depaul.academia.edu/No%C3%A9delaSancha?f_ri=13211","photo":"https://0.academia-photos.com/1324859/488365/144979328/s65_no_.de_la_sancha.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text 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data-has-card-for-ri="173" href="https://www.academia.edu/Documents/in/Zoology">Zoology</a>, <script data-card-contents-for-ri="173" type="text/json">{"id":173,"name":"Zoology","url":"https://www.academia.edu/Documents/in/Zoology?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1657" href="https://www.academia.edu/Documents/in/Museum_Studies">Museum Studies</a>, <script data-card-contents-for-ri="1657" type="text/json">{"id":1657,"name":"Museum Studies","url":"https://www.academia.edu/Documents/in/Museum_Studies?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2467" href="https://www.academia.edu/Documents/in/Conservation_Biology">Conservation Biology</a><script data-card-contents-for-ri="2467" type="text/json">{"id":2467,"name":"Conservation Biology","url":"https://www.academia.edu/Documents/in/Conservation_Biology?f_ri=13211","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=31631220]'), work: {"id":31631220,"title":"Getting Back to the Basics: Museum Collections and Satellite Imagery Are Critical to Analyzing Species Diversity","created_at":"2017-02-27T07:45:29.012-08:00","url":"https://www.academia.edu/31631220/Getting_Back_to_the_Basics_Museum_Collections_and_Satellite_Imagery_Are_Critical_to_Analyzing_Species_Diversity?f_ri=13211","dom_id":"work_31631220","summary":null,"downloadable_attachments":[{"id":51954941,"asset_id":31631220,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":1324859,"first_name":"Noé","last_name":"de la Sancha","domain_name":"depaul","page_name":"NoédelaSancha","display_name":"Noé U de la Sancha","profile_url":"https://depaul.academia.edu/No%C3%A9delaSancha?f_ri=13211","photo":"https://0.academia-photos.com/1324859/488365/144979328/s65_no_.de_la_sancha.jpg"},{"id":31806106,"first_name":"Sarah","last_name":"Boyle","domain_name":"rhodes","page_name":"SarahBoyle","display_name":"Sarah Boyle","profile_url":"https://rhodes.academia.edu/SarahBoyle?f_ri=13211","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":153,"name":"Landscape Ecology","url":"https://www.academia.edu/Documents/in/Landscape_Ecology?f_ri=13211","nofollow":false},{"id":173,"name":"Zoology","url":"https://www.academia.edu/Documents/in/Zoology?f_ri=13211","nofollow":false},{"id":1657,"name":"Museum Studies","url":"https://www.academia.edu/Documents/in/Museum_Studies?f_ri=13211","nofollow":false},{"id":2467,"name":"Conservation Biology","url":"https://www.academia.edu/Documents/in/Conservation_Biology?f_ri=13211","nofollow":false},{"id":2988,"name":"History of Natural 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Science","url":"https://www.academia.edu/Documents/in/Natural_Science?f_ri=13211"},{"id":19522,"name":"Remote sensing and GIS applications in Landscape Research","url":"https://www.academia.edu/Documents/in/Remote_sensing_and_GIS_applications_in_Landscape_Research?f_ri=13211"},{"id":41779,"name":"Mammals","url":"https://www.academia.edu/Documents/in/Mammals?f_ri=13211"},{"id":48494,"name":"Biodiversity Conservation","url":"https://www.academia.edu/Documents/in/Biodiversity_Conservation?f_ri=13211"},{"id":56254,"name":"Biodiversity Research","url":"https://www.academia.edu/Documents/in/Biodiversity_Research?f_ri=13211"},{"id":108112,"name":"Tropical forest","url":"https://www.academia.edu/Documents/in/Tropical_forest?f_ri=13211"},{"id":134098,"name":"HERPTOLOGY","url":"https://www.academia.edu/Documents/in/HERPTOLOGY?f_ri=13211"},{"id":146421,"name":"Deforestation","url":"https://www.academia.edu/Documents/in/Deforestation?f_ri=13211"},{"id":149474,"name":"Anthropocene","url":"https://www.academia.edu/Documents/in/Anthropocene?f_ri=13211"},{"id":1009312,"name":"Geographic Information Systems (GIS)","url":"https://www.academia.edu/Documents/in/Geographic_Information_Systems_GIS_?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_43451588" data-work_id="43451588" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/43451588/Landscape_Characterization_in_a_Watershed_of_Western_Himalayan_Ecoregion">Landscape Characterization in a Watershed of Western Himalayan Ecoregion</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The study was carried out in Kalsa watershed of Western Himalayan Ecoregion to quantify the landscape structure with special reference to different forest ecosystems. Vegetation and land use map generated using satellite remote sensing... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_43451588" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The study was carried out in Kalsa watershed of Western Himalayan Ecoregion to quantify the landscape structure with special reference to different forest ecosystems. Vegetation and land use map generated using satellite remote sensing data was taken as an input for quantification of landscape structure, which was quantified based on different patch attributes (number, area, shape complexity) and landscape indices viz., Euclidean nearest neighbor distance and contagion. Temperate broadleaf forest exhibited high values for mean patch area, largest patch area, contagion and low values for number of patches, shape complexity and Euclidian nearest neighborhood in contrast to the degraded forest.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/43451588" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="17a6c3f3cb107fc94e40637adf31aa62" rel="nofollow" data-download="{"attachment_id":63758193,"asset_id":43451588,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/63758193/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="2053887" href="https://iirs-nrsa.academia.edu/NeerajSharma">Neeraj Sharma</a><script data-card-contents-for-user="2053887" type="text/json">{"id":2053887,"first_name":"Neeraj","last_name":"Sharma","domain_name":"iirs-nrsa","page_name":"NeerajSharma","display_name":"Neeraj Sharma","profile_url":"https://iirs-nrsa.academia.edu/NeerajSharma?f_ri=13211","photo":"https://0.academia-photos.com/2053887/673605/835994/s65_neeraj.sharma.jpg"}</script></span></span></li><li class="js-paper-rank-work_43451588 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="43451588"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 43451588, container: ".js-paper-rank-work_43451588", }); });</script></li><li class="js-percentile-work_43451588 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 43451588; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_43451588"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_43451588 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="43451588"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 43451588; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=43451588]").text(description); $(".js-view-count-work_43451588").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_43451588").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="43451588"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">20</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="153" href="https://www.academia.edu/Documents/in/Landscape_Ecology">Landscape Ecology</a>, <script data-card-contents-for-ri="153" type="text/json">{"id":153,"name":"Landscape Ecology","url":"https://www.academia.edu/Documents/in/Landscape_Ecology?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1252" href="https://www.academia.edu/Documents/in/Remote_Sensing">Remote Sensing</a>, <script data-card-contents-for-ri="1252" type="text/json">{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="3635" href="https://www.academia.edu/Documents/in/Urban_Biodiversity_Conservation">Urban Biodiversity Conservation</a>, <script data-card-contents-for-ri="3635" type="text/json">{"id":3635,"name":"Urban Biodiversity Conservation","url":"https://www.academia.edu/Documents/in/Urban_Biodiversity_Conservation?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="13211" href="https://www.academia.edu/Documents/in/Satellite_remote_sensing">Satellite remote sensing</a><script data-card-contents-for-ri="13211" type="text/json">{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=43451588]'), work: {"id":43451588,"title":"Landscape Characterization in a Watershed of Western Himalayan Ecoregion","created_at":"2020-06-27T08:36:41.694-07:00","url":"https://www.academia.edu/43451588/Landscape_Characterization_in_a_Watershed_of_Western_Himalayan_Ecoregion?f_ri=13211","dom_id":"work_43451588","summary":"The study was carried out in Kalsa watershed of Western Himalayan Ecoregion to quantify the landscape structure with special reference to different forest ecosystems. Vegetation and land use map generated using satellite remote sensing data was taken as an input for quantification of landscape structure, which was quantified based on different patch attributes (number, area, shape complexity) and landscape indices viz., Euclidean nearest neighbor distance and contagion. Temperate broadleaf forest exhibited high values for mean patch area, largest patch area, contagion and low values for number of patches, shape complexity and Euclidian nearest neighborhood in contrast to the degraded forest.","downloadable_attachments":[{"id":63758193,"asset_id":43451588,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":2053887,"first_name":"Neeraj","last_name":"Sharma","domain_name":"iirs-nrsa","page_name":"NeerajSharma","display_name":"Neeraj Sharma","profile_url":"https://iirs-nrsa.academia.edu/NeerajSharma?f_ri=13211","photo":"https://0.academia-photos.com/2053887/673605/835994/s65_neeraj.sharma.jpg"}],"research_interests":[{"id":153,"name":"Landscape Ecology","url":"https://www.academia.edu/Documents/in/Landscape_Ecology?f_ri=13211","nofollow":false},{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=13211","nofollow":false},{"id":3635,"name":"Urban Biodiversity Conservation","url":"https://www.academia.edu/Documents/in/Urban_Biodiversity_Conservation?f_ri=13211","nofollow":false},{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false},{"id":13501,"name":"Vegetation Ecology","url":"https://www.academia.edu/Documents/in/Vegetation_Ecology?f_ri=13211"},{"id":17825,"name":"Biodiversity","url":"https://www.academia.edu/Documents/in/Biodiversity?f_ri=13211"},{"id":17843,"name":"Landscape ecology (Biology)","url":"https://www.academia.edu/Documents/in/Landscape_ecology_Biology_?f_ri=13211"},{"id":17908,"name":"Temperate Forests","url":"https://www.academia.edu/Documents/in/Temperate_Forests?f_ri=13211"},{"id":19522,"name":"Remote sensing and GIS applications in Landscape Research","url":"https://www.academia.edu/Documents/in/Remote_sensing_and_GIS_applications_in_Landscape_Research?f_ri=13211"},{"id":63024,"name":"Biodiversity and Conservation","url":"https://www.academia.edu/Documents/in/Biodiversity_and_Conservation-1?f_ri=13211"},{"id":159745,"name":"Contagion","url":"https://www.academia.edu/Documents/in/Contagion?f_ri=13211"},{"id":182107,"name":"Ecology and Landscape","url":"https://www.academia.edu/Documents/in/Ecology_and_Landscape?f_ri=13211"},{"id":254818,"name":"Department of Botany and Biotechnology","url":"https://www.academia.edu/Documents/in/Department_of_Botany_and_Biotechnology?f_ri=13211"},{"id":417464,"name":"Landscape Pattern Analysis","url":"https://www.academia.edu/Documents/in/Landscape_Pattern_Analysis?f_ri=13211"},{"id":521671,"name":"Oak forests","url":"https://www.academia.edu/Documents/in/Oak_forests?f_ri=13211"},{"id":602084,"name":"Himalayan Ecology","url":"https://www.academia.edu/Documents/in/Himalayan_Ecology?f_ri=13211"},{"id":890611,"name":"Fractal Dimension","url":"https://www.academia.edu/Documents/in/Fractal_Dimension?f_ri=13211"},{"id":932001,"name":"Remote Sensing and GIS applications in Forestry","url":"https://www.academia.edu/Documents/in/Remote_Sensing_and_GIS_applications_in_Forestry?f_ri=13211"},{"id":1009312,"name":"Geographic Information Systems (GIS)","url":"https://www.academia.edu/Documents/in/Geographic_Information_Systems_GIS_?f_ri=13211"},{"id":1077764,"name":"FRAGSTATS","url":"https://www.academia.edu/Documents/in/FRAGSTATS?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_40995689" data-work_id="40995689" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/40995689/Satellite_radar_interferometry_and_in_situ_measurements_for_static_monitoring_of_historical_monuments_The_case_of_Gubbio_Italy">Satellite radar interferometry and in-situ measurements for static monitoring of historical monuments: The case of Gubbio, Italy</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The paper presents an overview of the results of diagnostic and monitoring activities carried out in the last years through satellite radar interferometry (2011-2016) and in situ measurements (2017-2019) in the historical city of Gubbio,... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_40995689" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The paper presents an overview of the results of diagnostic and monitoring activities carried out in the last years through satellite radar interferometry (2011-2016) and in situ measurements (2017-2019) in the historical city of Gubbio, Italy. The study is aimed at contributing to understanding the potential of remote sensing technologies in measuring complex deformation phenomena in historic buildings, such as those caused by soil-structural interaction and earthquakes, considering the monumental Consoli Palace and the Town Walls as case studies. The research activities have been carried out within the European HERACLES project, funded in the framework of Horizon (2020) and aimed at proposing novel diagnostic monitoring solutions for enhancing heritage resilience against various types of hazards. Particular attention is focused on the cross-correlation of the outputs of satellite radar interferometry and in-situ structural monitoring data aimed at achieving engineering meaningful results supporting decision making and proactive interventions.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/40995689" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="31f17719f1728ebda908ac08255f44ee" rel="nofollow" data-download="{"attachment_id":61277173,"asset_id":40995689,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/61277173/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="78693151" href="https://unipg.academia.edu/AlbanKita">Alban Kita</a><script data-card-contents-for-user="78693151" type="text/json">{"id":78693151,"first_name":"Alban","last_name":"Kita","domain_name":"unipg","page_name":"AlbanKita","display_name":"Alban Kita","profile_url":"https://unipg.academia.edu/AlbanKita?f_ri=13211","photo":"https://0.academia-photos.com/78693151/21008199/31030512/s65_alban.kita.jpg"}</script></span></span></li><li class="js-paper-rank-work_40995689 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="40995689"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 40995689, container: ".js-paper-rank-work_40995689", }); 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The study is aimed at contributing to understanding the potential of remote sensing technologies in measuring complex deformation phenomena in historic buildings, such as those caused by soil-structural interaction and earthquakes, considering the monumental Consoli Palace and the Town Walls as case studies. The research activities have been carried out within the European HERACLES project, funded in the framework of Horizon (2020) and aimed at proposing novel diagnostic monitoring solutions for enhancing heritage resilience against various types of hazards. 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Since this is a textbook, a great deal of this chapter entails a survey on the topic under the paradigm of cyber-physical systems, what can be done... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_34879652" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">We would like to invite you to join this exciting new project as a chapter contributor. Since this is a textbook, a great deal of this chapter entails a survey on the topic under the paradigm of cyber-physical systems, what can be done onboard and remotely, the distributed nature of the system and some exercises on futurology (anticipating trends can shed some light on upcoming designs). IET will bring great visibility to your work. You are welcome to suggest another topic/chapter title if you feel it would be more suitable. Each chapter should be around 20-25 pages each and can be submitted as a Word or Latex File. The IET will send you additional information (formatting, permission form, etc.) with the contributor's agreement once you have agreed to contribute to the book. Visit http:// <a href="http://www.theiet.org/resources/author-hub/books/index.cfm" rel="nofollow">www.theiet.org/resources/author-hub/books/index.cfm</a> to get all information you need as a contributor to an IET research-level book. Each book is expected to have a total number of 500 printed pages (based on approximately 550 words per page with a 20% allowance for figures and tables). We have included a tentative schedule and list of topics below. If this is something you would consider, please send me the title of your chapter, a short description/abstract of the chapter content, and your full contact details. We will expect original content and new results for this book. You can, of course, reuse published material but the percentage of material reuse for the chapter should be less than 40%. The IET will run a piracy software on the full manuscript to control that you are including original material and will reject chapters who contain a large amount of already-published material so please do take this into consideration.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/34879652" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="4271579c7a0020806bf329addee74474" rel="nofollow" data-download="{"attachment_id":54739455,"asset_id":34879652,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/54739455/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1569445" href="https://uff.academia.edu/VaniaEstrela">Vania V Estrela</a><script data-card-contents-for-user="1569445" type="text/json">{"id":1569445,"first_name":"Vania","last_name":"Estrela","domain_name":"uff","page_name":"VaniaEstrela","display_name":"Vania V Estrela","profile_url":"https://uff.academia.edu/VaniaEstrela?f_ri=13211","photo":"https://0.academia-photos.com/1569445/584405/780232/s65_vania_v..estrela.jpg"}</script></span></span></li><li class="js-paper-rank-work_34879652 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="34879652"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 34879652, container: ".js-paper-rank-work_34879652", }); 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Since this is a textbook, a great deal of this chapter entails a survey on the topic under the paradigm of cyber-physical systems, what can be done onboard and remotely, the distributed nature of the system and some exercises on futurology (anticipating trends can shed some light on upcoming designs). IET will bring great visibility to your work. You are welcome to suggest another topic/chapter title if you feel it would be more suitable. Each chapter should be around 20-25 pages each and can be submitted as a Word or Latex File. The IET will send you additional information (formatting, permission form, etc.) with the contributor's agreement once you have agreed to contribute to the book. Visit http:// www.theiet.org/resources/author-hub/books/index.cfm to get all information you need as a contributor to an IET research-level book. Each book is expected to have a total number of 500 printed pages (based on approximately 550 words per page with a 20% allowance for figures and tables). We have included a tentative schedule and list of topics below. If this is something you would consider, please send me the title of your chapter, a short description/abstract of the chapter content, and your full contact details. We will expect original content and new results for this book. You can, of course, reuse published material but the percentage of material reuse for the chapter should be less than 40%. 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However, there are many distortions associated with images taken by satellites optical sensors which degraded the image quality. A convenient measure of the image... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_28981289" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Satellite imaging is used for gathering detailed information about earth. However, there are many distortions associated with images taken by satellites optical sensors which degraded the image quality. A convenient measure of the image quality is the ability of the optical system to transfer various levels of details from object space to image plane. However the light diffraction and optical aberrations are main sources of image quality degradation. This paper investigates the effect of different optical aberrations on satellite image quality. Also a comparative study among different types of aberrations is carried out. The imaging system (e.g. focal length, pixel size of the CCD, F-number, entrance aperture diameter, etc.) is simulated using MATLAB program. The optical aberrations are simulated by Zernike polynomial to determine their effects on the image quality. The presented algorithm (imaging system simulation) is applied on two high resolution remote sensing images, acquired by GeoEye-1 and IKONOS-1 satellites in order to study the effect of aberrations on the satellite images quality in terms of point spread function (PSF) and the modulation transfer function (MTF) variations. The evaluation of the quality of aberrated images is conducted with the help of the two widely used metrics: Mean Square Error (MSE) and Peak-Signal to Noise Ratio (PSNR).</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/28981289" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="d48553c856f15c703258cd9344247fbe" rel="nofollow" data-download="{"attachment_id":49425957,"asset_id":28981289,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49425957/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="48839718" href="https://independent.academia.edu/MohamedAhmedelngar">Mohamed Ahmed</a><script data-card-contents-for-user="48839718" type="text/json">{"id":48839718,"first_name":"Mohamed","last_name":"Ahmed","domain_name":"independent","page_name":"MohamedAhmedelngar","display_name":"Mohamed Ahmed","profile_url":"https://independent.academia.edu/MohamedAhmedelngar?f_ri=13211","photo":"https://0.academia-photos.com/48839718/13687135/14948386/s65_mohamed.ahmed.jpg"}</script></span></span></li><li class="js-paper-rank-work_28981289 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="28981289"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 28981289, container: ".js-paper-rank-work_28981289", }); 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However, there are many distortions associated with images taken by satellites optical sensors which degraded the image quality. A convenient measure of the image quality is the ability of the optical system to transfer various levels of details from object space to image plane. However the light diffraction and optical aberrations are main sources of image quality degradation. This paper investigates the effect of different optical aberrations on satellite image quality. Also a comparative study among different types of aberrations is carried out. The imaging system (e.g. focal length, pixel size of the CCD, F-number, entrance aperture diameter, etc.) is simulated using MATLAB program. The optical aberrations are simulated by Zernike polynomial to determine their effects on the image quality. The presented algorithm (imaging system simulation) is applied on two high resolution remote sensing images, acquired by GeoEye-1 and IKONOS-1 satellites in order to study the effect of aberrations on the satellite images quality in terms of point spread function (PSF) and the modulation transfer function (MTF) variations. The evaluation of the quality of aberrated images is conducted with the help of the two widely used metrics: Mean Square Error (MSE) and Peak-Signal to Noise Ratio (PSNR).","downloadable_attachments":[{"id":49425957,"asset_id":28981289,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":48839718,"first_name":"Mohamed","last_name":"Ahmed","domain_name":"independent","page_name":"MohamedAhmedelngar","display_name":"Mohamed Ahmed","profile_url":"https://independent.academia.edu/MohamedAhmedelngar?f_ri=13211","photo":"https://0.academia-photos.com/48839718/13687135/14948386/s65_mohamed.ahmed.jpg"}],"research_interests":[{"id":516,"name":"Optics","url":"https://www.academia.edu/Documents/in/Optics?f_ri=13211","nofollow":false},{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=13211","nofollow":false},{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false},{"id":35938,"name":"Digital Image Processing","url":"https://www.academia.edu/Documents/in/Digital_Image_Processing?f_ri=13211","nofollow":false},{"id":154978,"name":" Satellite Remote Sensing \u0026 Image Processing","url":"https://www.academia.edu/Documents/in/_Satellite_Remote_Sensing_and_Image_Processing?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_12685055 coauthored" data-work_id="12685055" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/12685055/_title_Tree_crown_detection_in_high_resolution_optical_and_lidar_images_of_tropical_forest_title_"><title>Tree crown detection in high resolution optical and lidar images of tropical forest</title></a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/12685055" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="003d530c50832a993c4f6b2fbd2ec585" rel="nofollow" data-download="{"attachment_id":46008540,"asset_id":12685055,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/46008540/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="31895016" href="https://independent.academia.edu/IhssenHedhli">Ihssen Hedhli</a><script data-card-contents-for-user="31895016" type="text/json">{"id":31895016,"first_name":"Ihssen","last_name":"Hedhli","domain_name":"independent","page_name":"IhssenHedhli","display_name":"Ihssen Hedhli","profile_url":"https://independent.academia.edu/IhssenHedhli?f_ri=13211","photo":"/images/s65_no_pic.png"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-12685055">+4</span><div class="hidden js-additional-users-12685055"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/PierreCouteron">Pierre Couteron</a></span></div><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://ird.academia.edu/CProisy">C. Proisy</a></span></div><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/NBarbier">N. Barbier</a></span></div><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://inria.academia.edu/JosianeZerubia">Josiane Zerubia</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-12685055'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-12685055').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_12685055 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="12685055"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 12685055, container: ".js-paper-rank-work_12685055", }); });</script></li><li class="js-percentile-work_12685055 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 12685055; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_12685055"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_12685055 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="12685055"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 12685055; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=12685055]").text(description); $(".js-view-count-work_12685055").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_12685055").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="12685055"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">15</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="1252" href="https://www.academia.edu/Documents/in/Remote_Sensing">Remote Sensing</a>, <script data-card-contents-for-ri="1252" type="text/json">{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="8125" href="https://www.academia.edu/Documents/in/LiDAR">LiDAR</a>, <script data-card-contents-for-ri="8125" type="text/json">{"id":8125,"name":"LiDAR","url":"https://www.academia.edu/Documents/in/LiDAR?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="13211" href="https://www.academia.edu/Documents/in/Satellite_remote_sensing">Satellite remote sensing</a>, <script data-card-contents-for-ri="13211" type="text/json">{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="33302" href="https://www.academia.edu/Documents/in/Optical_Imaging">Optical Imaging</a><script data-card-contents-for-ri="33302" type="text/json">{"id":33302,"name":"Optical Imaging","url":"https://www.academia.edu/Documents/in/Optical_Imaging?f_ri=13211","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=12685055]'), work: {"id":12685055,"title":"\u003ctitle\u003eTree crown detection in high resolution optical and lidar images of tropical forest\u003c/title\u003e","created_at":"2015-05-30T06:47:40.025-07:00","url":"https://www.academia.edu/12685055/_title_Tree_crown_detection_in_high_resolution_optical_and_lidar_images_of_tropical_forest_title_?f_ri=13211","dom_id":"work_12685055","summary":null,"downloadable_attachments":[{"id":46008540,"asset_id":12685055,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":31895016,"first_name":"Ihssen","last_name":"Hedhli","domain_name":"independent","page_name":"IhssenHedhli","display_name":"Ihssen Hedhli","profile_url":"https://independent.academia.edu/IhssenHedhli?f_ri=13211","photo":"/images/s65_no_pic.png"},{"id":31753638,"first_name":"Pierre","last_name":"Couteron","domain_name":"independent","page_name":"PierreCouteron","display_name":"Pierre Couteron","profile_url":"https://independent.academia.edu/PierreCouteron?f_ri=13211","photo":"/images/s65_no_pic.png"},{"id":31695740,"first_name":"C.","last_name":"Proisy","domain_name":"ird","page_name":"CProisy","display_name":"C. 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Barbier","profile_url":"https://independent.academia.edu/NBarbier?f_ri=13211","photo":"/images/s65_no_pic.png"},{"id":31751830,"first_name":"Josiane","last_name":"Zerubia","domain_name":"inria","page_name":"JosianeZerubia","display_name":"Josiane Zerubia","profile_url":"https://inria.academia.edu/JosianeZerubia?f_ri=13211","photo":"https://0.academia-photos.com/31751830/13620323/14771214/s65_josiane.zerubia.jpg"}],"research_interests":[{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=13211","nofollow":false},{"id":8125,"name":"LiDAR","url":"https://www.academia.edu/Documents/in/LiDAR?f_ri=13211","nofollow":false},{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false},{"id":33302,"name":"Optical Imaging","url":"https://www.academia.edu/Documents/in/Optical_Imaging?f_ri=13211","nofollow":false},{"id":55405,"name":"Sensors","url":"https://www.academia.edu/Documents/in/Sensors?f_ri=13211"},{"id":106333,"name":"Ecosystems","url":"https://www.academia.edu/Documents/in/Ecosystems?f_ri=13211"},{"id":108112,"name":"Tropical forest","url":"https://www.academia.edu/Documents/in/Tropical_forest?f_ri=13211"},{"id":115872,"name":"French Guiana","url":"https://www.academia.edu/Documents/in/French_Guiana?f_ri=13211"},{"id":291387,"name":"Mathematical Model","url":"https://www.academia.edu/Documents/in/Mathematical_Model?f_ri=13211"},{"id":309086,"name":"High Resolution","url":"https://www.academia.edu/Documents/in/High_Resolution?f_ri=13211"},{"id":490360,"name":"Airborne LiDAR","url":"https://www.academia.edu/Documents/in/Airborne_LiDAR?f_ri=13211"},{"id":604200,"name":"Spatial resolution","url":"https://www.academia.edu/Documents/in/Spatial_resolution?f_ri=13211"},{"id":800990,"name":"Reflectivity","url":"https://www.academia.edu/Documents/in/Reflectivity?f_ri=13211"},{"id":1127444,"name":"High Spatial Resolution","url":"https://www.academia.edu/Documents/in/High_Spatial_Resolution?f_ri=13211"},{"id":2263670,"name":"Detection Algorithm","url":"https://www.academia.edu/Documents/in/Detection_Algorithm?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_44119574" data-work_id="44119574" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/44119574/Remote_Sensing_Archaeology_Searching_for_Lake_Parime_from_Space">Remote Sensing Archaeology: Searching for Lake Parime from Space</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This research evaluates and discusses distinct types of data to propose the possible existence of an extinct lake which was reported by the chronicles and depicted on most South American maps from the end of the 16th century to the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_44119574" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This research evaluates and discusses distinct types of data to propose the possible existence of an extinct lake which was reported by the chronicles and depicted on most South American maps from the end of the 16th century to the mid-19th century. The methodology and results derive from the analysis and combination of historical sources, indigenous oral traditions, geological and archaeological studies, digital elevation models (DEM) as well as aerial, and satellite remote sensing surveys performed by NASA's Shuttle Radar Topography Missions (SRTM), the Landsat Enhanced Thematic Mapper Plus (ETM+) instrument, and the TanDEM-X synthetic aperture radar (SAR) sensors at the German Aerospace Center (DLR). In addition, an assemblage of artifacts discovered within the study area is also assessed and contrasted to the historical and the remote sensing results.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/44119574" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="5101dcc19f25fed58f2b243071d87514" rel="nofollow" data-download="{"attachment_id":64469546,"asset_id":44119574,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/64469546/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="21139730" href="https://leidenuniv.academia.edu/AndrzejandMariaMagdalenaAntczak">Andrzej & Maria Magdalena Antczak</a><script data-card-contents-for-user="21139730" type="text/json">{"id":21139730,"first_name":"Andrzej \u0026 Maria Magdalena","last_name":"Antczak","domain_name":"leidenuniv","page_name":"AndrzejandMariaMagdalenaAntczak","display_name":"Andrzej \u0026 Maria Magdalena Antczak","profile_url":"https://leidenuniv.academia.edu/AndrzejandMariaMagdalenaAntczak?f_ri=13211","photo":"https://0.academia-photos.com/21139730/5841056/6644880/s65_andrzej_maria_magdalena.antczak.png"}</script></span></span></li><li class="js-paper-rank-work_44119574 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="44119574"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 44119574, container: ".js-paper-rank-work_44119574", }); });</script></li><li class="js-percentile-work_44119574 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 44119574; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_44119574"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_44119574 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="44119574"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 44119574; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=44119574]").text(description); $(".js-view-count-work_44119574").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_44119574").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="44119574"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">11</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="139" href="https://www.academia.edu/Documents/in/Ethnohistory">Ethnohistory</a>, <script data-card-contents-for-ri="139" type="text/json">{"id":139,"name":"Ethnohistory","url":"https://www.academia.edu/Documents/in/Ethnohistory?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="392" href="https://www.academia.edu/Documents/in/Archaeology">Archaeology</a>, <script data-card-contents-for-ri="392" type="text/json">{"id":392,"name":"Archaeology","url":"https://www.academia.edu/Documents/in/Archaeology?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2477" href="https://www.academia.edu/Documents/in/Aerial_Archaeology">Aerial Archaeology</a>, <script data-card-contents-for-ri="2477" type="text/json">{"id":2477,"name":"Aerial Archaeology","url":"https://www.academia.edu/Documents/in/Aerial_Archaeology?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="12440" href="https://www.academia.edu/Documents/in/Amazonian_Archaeology">Amazonian Archaeology</a><script data-card-contents-for-ri="12440" type="text/json">{"id":12440,"name":"Amazonian Archaeology","url":"https://www.academia.edu/Documents/in/Amazonian_Archaeology?f_ri=13211","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=44119574]'), work: {"id":44119574,"title":"Remote Sensing Archaeology: Searching for Lake Parime from Space","created_at":"2020-09-19T03:12:00.468-07:00","url":"https://www.academia.edu/44119574/Remote_Sensing_Archaeology_Searching_for_Lake_Parime_from_Space?f_ri=13211","dom_id":"work_44119574","summary":"This research evaluates and discusses distinct types of data to propose the possible existence of an extinct lake which was reported by the chronicles and depicted on most South American maps from the end of the 16th century to the mid-19th century. The methodology and results derive from the analysis and combination of historical sources, indigenous oral traditions, geological and archaeological studies, digital elevation models (DEM) as well as aerial, and satellite remote sensing surveys performed by NASA's Shuttle Radar Topography Missions (SRTM), the Landsat Enhanced Thematic Mapper Plus (ETM+) instrument, and the TanDEM-X synthetic aperture radar (SAR) sensors at the German Aerospace Center (DLR). In addition, an assemblage of artifacts discovered within the study area is also assessed and contrasted to the historical and the remote sensing results.","downloadable_attachments":[{"id":64469546,"asset_id":44119574,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":21139730,"first_name":"Andrzej \u0026 Maria Magdalena","last_name":"Antczak","domain_name":"leidenuniv","page_name":"AndrzejandMariaMagdalenaAntczak","display_name":"Andrzej \u0026 Maria Magdalena Antczak","profile_url":"https://leidenuniv.academia.edu/AndrzejandMariaMagdalenaAntczak?f_ri=13211","photo":"https://0.academia-photos.com/21139730/5841056/6644880/s65_andrzej_maria_magdalena.antczak.png"}],"research_interests":[{"id":139,"name":"Ethnohistory","url":"https://www.academia.edu/Documents/in/Ethnohistory?f_ri=13211","nofollow":false},{"id":392,"name":"Archaeology","url":"https://www.academia.edu/Documents/in/Archaeology?f_ri=13211","nofollow":false},{"id":2477,"name":"Aerial Archaeology","url":"https://www.academia.edu/Documents/in/Aerial_Archaeology?f_ri=13211","nofollow":false},{"id":12440,"name":"Amazonian Archaeology","url":"https://www.academia.edu/Documents/in/Amazonian_Archaeology?f_ri=13211","nofollow":false},{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211"},{"id":22244,"name":"Digital Elevation Models","url":"https://www.academia.edu/Documents/in/Digital_Elevation_Models?f_ri=13211"},{"id":252570,"name":"Venezuelan Archaeology","url":"https://www.academia.edu/Documents/in/Venezuelan_Archaeology?f_ri=13211"},{"id":541069,"name":"Arqueología de Venezuela","url":"https://www.academia.edu/Documents/in/Arqueologia_de_Venezuela?f_ri=13211"},{"id":830048,"name":"Remote sensing and GIS in archaeology","url":"https://www.academia.edu/Documents/in/Remote_sensing_and_GIS_in_archaeology?f_ri=13211"},{"id":999655,"name":"Manoa","url":"https://www.academia.edu/Documents/in/Manoa?f_ri=13211"},{"id":1342775,"name":"Ancient Gold","url":"https://www.academia.edu/Documents/in/Ancient_Gold?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_40381594 coauthored" data-work_id="40381594" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/40381594/Remote_Sensing_of_Endangered_Archaeology_on_Gebel_Ataqah_Egypt">Remote Sensing of Endangered Archaeology on Gebel Ataqah, Egypt</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This paper reports on a recent survey of a range of archaeological sites on and around Gebel Ataqah, a mountain area to the west of Suez. These sites were identified through the analysis of publicly available satellite imagery,... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_40381594" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This paper reports on a recent survey of a range of archaeological sites on and around Gebel Ataqah, a mountain area to the west of Suez. These sites were identified through the analysis of publicly available satellite imagery, principally Google Earth (GE), as part of the Endangered Archaeology in the Middle East and North Africa (EAMENA) project, supplemented by historical references to the area and notes published by earlier travellers. The absence of existing archaeological data is due to a military presence in this area, from at least the 1950s, limiting access and exploration. The results of this survey show high levels of archaeological potential across large parts of Gebel Ataqah that require more detailed analysis on the ground, in an important, yet often underexplored, region. A series of major current and future threats to these archaeological sites are also identified which, alongside the presented survey data, will inform any future heritage management schemes.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/40381594" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="9ffffa1d655cf26b4ac17d4e1d7a9b21" rel="nofollow" data-download="{"attachment_id":67443940,"asset_id":40381594,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/67443940/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="82588195" href="https://oxford.academia.edu/SHardouin">Servane Hardouin</a><script data-card-contents-for-user="82588195" type="text/json">{"id":82588195,"first_name":"Servane","last_name":"Hardouin","domain_name":"oxford","page_name":"SHardouin","display_name":"Servane Hardouin","profile_url":"https://oxford.academia.edu/SHardouin?f_ri=13211","photo":"https://0.academia-photos.com/82588195/22105644/29525015/s65_servane.hardouin.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-40381594">+1</span><div class="hidden js-additional-users-40381594"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://oxford.academia.edu/MichaelFradley">Michael Fradley</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-40381594'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-40381594').html(); 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These sites were identified through the analysis of publicly available satellite imagery, principally Google Earth (GE), as part of the Endangered Archaeology in the Middle East and North Africa (EAMENA) project, supplemented by historical references to the area and notes published by earlier travellers. The absence of existing archaeological data is due to a military presence in this area, from at least the 1950s, limiting access and exploration. The results of this survey show high levels of archaeological potential across large parts of Gebel Ataqah that require more detailed analysis on the ground, in an important, yet often underexplored, region. A series of major current and future threats to these archaeological sites are also identified which, alongside the presented survey data, will inform any future heritage management schemes.","downloadable_attachments":[{"id":67443940,"asset_id":40381594,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":82588195,"first_name":"Servane","last_name":"Hardouin","domain_name":"oxford","page_name":"SHardouin","display_name":"Servane Hardouin","profile_url":"https://oxford.academia.edu/SHardouin?f_ri=13211","photo":"https://0.academia-photos.com/82588195/22105644/29525015/s65_servane.hardouin.jpg"},{"id":272172,"first_name":"Michael","last_name":"Fradley","domain_name":"oxford","page_name":"MichaelFradley","display_name":"Michael Fradley","profile_url":"https://oxford.academia.edu/MichaelFradley?f_ri=13211","photo":"https://0.academia-photos.com/272172/56531/52128/s65_michael.fradley.jpg"}],"research_interests":[{"id":392,"name":"Archaeology","url":"https://www.academia.edu/Documents/in/Archaeology?f_ri=13211","nofollow":false},{"id":3793,"name":"Egyptian Archaeology","url":"https://www.academia.edu/Documents/in/Egyptian_Archaeology?f_ri=13211","nofollow":false},{"id":12537,"name":"Egypt","url":"https://www.academia.edu/Documents/in/Egypt?f_ri=13211","nofollow":false},{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false},{"id":208877,"name":"Satellite Imagery","url":"https://www.academia.edu/Documents/in/Satellite_Imagery?f_ri=13211"},{"id":286678,"name":"Archeology and Satellite Imagery","url":"https://www.academia.edu/Documents/in/Archeology_and_Satellite_Imagery?f_ri=13211"},{"id":1406962,"name":"Remotes Sensing","url":"https://www.academia.edu/Documents/in/Remotes_Sensing?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_35433665 coauthored" data-work_id="35433665" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/35433665/A_Shadow_Overlapping_Algorithm_for_Estimating_Building_Heights_From_VHR_Satellite_Images">A Shadow-Overlapping Algorithm for Estimating Building Heights From VHR Satellite Images</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Building height is a key geometric attribute for generating 3-D building models. We propose a novel four-stage approach for automated estimation of building heights from their shadows in very high resolution (VHR) multispectral images.... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_35433665" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Building height is a key geometric attribute for generating 3-D building models. We propose a novel four-stage approach for automated estimation of building heights from their shadows in very high resolution (VHR) multispectral images. First, a building's actual shadow regions are detected by applying ratio-band algorithm to the VHR image. Second, 2-D building footprint geometries are identified using graph theory and morphological fuzzy processing techniques. Third, artificial shadow regions are simulated using the identified building footprint and solar information in the image metadata at predefined height increments. Finally, the difference between the actual and simulated shadow regions at every height increment is computed using Jaccard similarity coefficient. The estimated building height corresponds to the height of the simulated shadow region that resulted in the maximum value for Jaccard index. The algorithm is tested on seven urban sites in Cardiff, U.K. with various levels of morphological complexity. Our method outperforms the past attempts, and the mean error is reduced by at least 21%.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/35433665" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="67ab98901662d518daf4a9850e2654cd" rel="nofollow" data-download="{"attachment_id":55294856,"asset_id":35433665,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/55294856/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="28581" href="https://cardiff.academia.edu/MMourshed">Monjur Mourshed</a><script data-card-contents-for-user="28581" type="text/json">{"id":28581,"first_name":"Monjur","last_name":"Mourshed","domain_name":"cardiff","page_name":"MMourshed","display_name":"Monjur Mourshed","profile_url":"https://cardiff.academia.edu/MMourshed?f_ri=13211","photo":"https://0.academia-photos.com/28581/81405/14774989/s65_monjur.mourshed.jpeg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-35433665">+1</span><div class="hidden js-additional-users-35433665"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://uodiyala.academia.edu/NadaKadhim">Nada Kadhim</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-35433665'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-35433665').html(); 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We propose a novel four-stage approach for automated estimation of building heights from their shadows in very high resolution (VHR) multispectral images. First, a building's actual shadow regions are detected by applying ratio-band algorithm to the VHR image. Second, 2-D building footprint geometries are identified using graph theory and morphological fuzzy processing techniques. Third, artificial shadow regions are simulated using the identified building footprint and solar information in the image metadata at predefined height increments. Finally, the difference between the actual and simulated shadow regions at every height increment is computed using Jaccard similarity coefficient. The estimated building height corresponds to the height of the simulated shadow region that resulted in the maximum value for Jaccard index. The algorithm is tested on seven urban sites in Cardiff, U.K. with various levels of morphological complexity. Our method outperforms the past attempts, and the mean error is reduced by at least 21%.","downloadable_attachments":[{"id":55294856,"asset_id":35433665,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":28581,"first_name":"Monjur","last_name":"Mourshed","domain_name":"cardiff","page_name":"MMourshed","display_name":"Monjur Mourshed","profile_url":"https://cardiff.academia.edu/MMourshed?f_ri=13211","photo":"https://0.academia-photos.com/28581/81405/14774989/s65_monjur.mourshed.jpeg"},{"id":11672471,"first_name":"Nada","last_name":"Kadhim","domain_name":"uodiyala","page_name":"NadaKadhim","display_name":"Nada Kadhim","profile_url":"https://uodiyala.academia.edu/NadaKadhim?f_ri=13211","photo":"https://0.academia-photos.com/11672471/7875728/37390721/s65_nada.kadhim.png"}],"research_interests":[{"id":1185,"name":"Image Processing","url":"https://www.academia.edu/Documents/in/Image_Processing?f_ri=13211","nofollow":false},{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=13211","nofollow":false},{"id":2738,"name":"Renewable Energy","url":"https://www.academia.edu/Documents/in/Renewable_Energy?f_ri=13211","nofollow":false},{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false},{"id":23434,"name":"3D Modelling (Architecture)","url":"https://www.academia.edu/Documents/in/3D_Modelling_Architecture_?f_ri=13211"},{"id":63431,"name":"Solar Energy","url":"https://www.academia.edu/Documents/in/Solar_Energy?f_ri=13211"},{"id":70524,"name":"Geosciences","url":"https://www.academia.edu/Documents/in/Geosciences?f_ri=13211"},{"id":154978,"name":" Satellite Remote Sensing \u0026 Image Processing","url":"https://www.academia.edu/Documents/in/_Satellite_Remote_Sensing_and_Image_Processing?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 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data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="62fab2ab2db2e3442e17c0205bf877ca" rel="nofollow" data-download="{"attachment_id":51002288,"asset_id":1380655,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/51002288/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" 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itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/67524868/Electrodynamic_Tethering_An_Energy_Source_for_Satellite">Electrodynamic Tethering: An Energy Source for Satellite</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">There is a tremendous force interest for the satellites which the nations have been utilizing over a long time for correspondence, spying, tests, analysis, etc; and tracking down an elective energy hotspots for satellite has been a major... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_67524868" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">There is a tremendous force interest for the satellites which the nations have been utilizing over a long time for correspondence, spying, tests, analysis, etc; and tracking down an elective energy hotspots for satellite has been a major undertaking that must be settled as quickly as time permits and electrodynamic tie situation can be the ideal decision for the force supplanting framework. The current existing strategies are somewhat more established, fusy and should be changed for expanded use office of a satellite. Electrodynamic ties are long, dainty conductive wires which are conveyed in space appended to the plasma bend generator of the satellite framework and can be utilized to create power by eliminating the motor energy from their orbital movement, or to deliver push while adding energy from an on board source. regardless , the frictional or push power is created electrodynamically , through the communication between the moving charges only the electrons of the ionospheric plasma and the attractive field of earth. Electrodynamic ties work by temperance of the power an attractive field applies on a current conveying wire which is only the lorentz power. Generally, it is a shrewd method of getting an electric flow to stream in a long directing wire that is circling Earth, so that world's attractive field will apply a power on and speed up the wire and thus any payload appended to it. By switching the bearing of current in it, a similar tie can be utilized to de-circle old satellite and once again circle them if necessary under the fundamental circumstances. Electrodynamic ties have solid potential for giving propellant less impetus to rocket in low-Earth orbit(LEO) for applications, for example, satellite deorbit circle boosting, and station keeping. The tie, in any case, is anything but an unbending pole held above or beneath the rocket.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/67524868" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="dbe8a6ff9065cd47483598240198bb8c" rel="nofollow" data-download="{"attachment_id":78307678,"asset_id":67524868,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/78307678/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="6079060" href="https://independent.academia.edu/IJRASETPublication">IJRASET Publication</a><script data-card-contents-for-user="6079060" type="text/json">{"id":6079060,"first_name":"IJRASET","last_name":"Publication","domain_name":"independent","page_name":"IJRASETPublication","display_name":"IJRASET Publication","profile_url":"https://independent.academia.edu/IJRASETPublication?f_ri=13211","photo":"https://0.academia-photos.com/6079060/2549300/33111525/s65_ijraset.publication.jpg"}</script></span></span></li><li class="js-paper-rank-work_67524868 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="67524868"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 67524868, container: ".js-paper-rank-work_67524868", }); });</script></li><li class="js-percentile-work_67524868 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67524868; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_67524868"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_67524868 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="67524868"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67524868; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67524868]").text(description); $(".js-view-count-work_67524868").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_67524868").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="67524868"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="11569" href="https://www.academia.edu/Documents/in/Satellite_Communications">Satellite Communications</a>, <script data-card-contents-for-ri="11569" type="text/json">{"id":11569,"name":"Satellite Communications","url":"https://www.academia.edu/Documents/in/Satellite_Communications?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="13211" href="https://www.academia.edu/Documents/in/Satellite_remote_sensing">Satellite remote sensing</a>, <script data-card-contents-for-ri="13211" type="text/json">{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="71908" href="https://www.academia.edu/Documents/in/Electrodynamic_Tethers">Electrodynamic Tethers</a>, <script data-card-contents-for-ri="71908" type="text/json">{"id":71908,"name":"Electrodynamic Tethers","url":"https://www.academia.edu/Documents/in/Electrodynamic_Tethers?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="92877" href="https://www.academia.edu/Documents/in/Electrodynamics">Electrodynamics</a><script data-card-contents-for-ri="92877" type="text/json">{"id":92877,"name":"Electrodynamics","url":"https://www.academia.edu/Documents/in/Electrodynamics?f_ri=13211","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=67524868]'), work: {"id":67524868,"title":"Electrodynamic Tethering: An Energy Source for Satellite","created_at":"2022-01-07T06:14:26.661-08:00","url":"https://www.academia.edu/67524868/Electrodynamic_Tethering_An_Energy_Source_for_Satellite?f_ri=13211","dom_id":"work_67524868","summary":"There is a tremendous force interest for the satellites which the nations have been utilizing over a long time for correspondence, spying, tests, analysis, etc; and tracking down an elective energy hotspots for satellite has been a major undertaking that must be settled as quickly as time permits and electrodynamic tie situation can be the ideal decision for the force supplanting framework. The current existing strategies are somewhat more established, fusy and should be changed for expanded use office of a satellite. Electrodynamic ties are long, dainty conductive wires which are conveyed in space appended to the plasma bend generator of the satellite framework and can be utilized to create power by eliminating the motor energy from their orbital movement, or to deliver push while adding energy from an on board source. regardless , the frictional or push power is created electrodynamically , through the communication between the moving charges only the electrons of the ionospheric plasma and the attractive field of earth. Electrodynamic ties work by temperance of the power an attractive field applies on a current conveying wire which is only the lorentz power. Generally, it is a shrewd method of getting an electric flow to stream in a long directing wire that is circling Earth, so that world's attractive field will apply a power on and speed up the wire and thus any payload appended to it. By switching the bearing of current in it, a similar tie can be utilized to de-circle old satellite and once again circle them if necessary under the fundamental circumstances. Electrodynamic ties have solid potential for giving propellant less impetus to rocket in low-Earth orbit(LEO) for applications, for example, satellite deorbit circle boosting, and station keeping. The tie, in any case, is anything but an unbending pole held above or beneath the rocket.","downloadable_attachments":[{"id":78307678,"asset_id":67524868,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":6079060,"first_name":"IJRASET","last_name":"Publication","domain_name":"independent","page_name":"IJRASETPublication","display_name":"IJRASET Publication","profile_url":"https://independent.academia.edu/IJRASETPublication?f_ri=13211","photo":"https://0.academia-photos.com/6079060/2549300/33111525/s65_ijraset.publication.jpg"}],"research_interests":[{"id":11569,"name":"Satellite Communications","url":"https://www.academia.edu/Documents/in/Satellite_Communications?f_ri=13211","nofollow":false},{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false},{"id":71908,"name":"Electrodynamic Tethers","url":"https://www.academia.edu/Documents/in/Electrodynamic_Tethers?f_ri=13211","nofollow":false},{"id":92877,"name":"Electrodynamics","url":"https://www.academia.edu/Documents/in/Electrodynamics?f_ri=13211","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_74655778" data-work_id="74655778" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/74655778/Estimation_of_vegetation_water_content_and_photosynthetic_tissue_area_from_spectral_reflectance_a_comparison_of_indices_based_on_liquid_water_and_chlorophyll_absorption_features">Estimation of vegetation water content and photosynthetic tissue area from spectral reflectance: a comparison of indices based on liquid water and chlorophyll absorption features</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/74655778" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="f5cf98be83eeded39eb97525c835caf5" rel="nofollow" data-download="{"attachment_id":82730265,"asset_id":74655778,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/82730265/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="32930498" href="https://ualberta.academia.edu/JohnGamon">John Gamon</a><script data-card-contents-for-user="32930498" type="text/json">{"id":32930498,"first_name":"John","last_name":"Gamon","domain_name":"ualberta","page_name":"JohnGamon","display_name":"John Gamon","profile_url":"https://ualberta.academia.edu/JohnGamon?f_ri=13211","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_74655778 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="74655778"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 74655778, container: ".js-paper-rank-work_74655778", }); });</script></li><li class="js-percentile-work_74655778 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74655778; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_74655778"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_74655778 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="74655778"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74655778; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74655778]").text(description); $(".js-view-count-work_74655778").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_74655778").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="74655778"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">20</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="511" href="https://www.academia.edu/Documents/in/Materials_Science">Materials Science</a>, <script data-card-contents-for-ri="511" type="text/json">{"id":511,"name":"Materials Science","url":"https://www.academia.edu/Documents/in/Materials_Science?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1252" href="https://www.academia.edu/Documents/in/Remote_Sensing">Remote Sensing</a>, <script data-card-contents-for-ri="1252" type="text/json">{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5345" href="https://www.academia.edu/Documents/in/Photosynthesis">Photosynthesis</a>, <script data-card-contents-for-ri="5345" type="text/json">{"id":5345,"name":"Photosynthesis","url":"https://www.academia.edu/Documents/in/Photosynthesis?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="13211" href="https://www.academia.edu/Documents/in/Satellite_remote_sensing">Satellite remote sensing</a><script data-card-contents-for-ri="13211" type="text/json">{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=74655778]'), work: {"id":74655778,"title":"Estimation of vegetation water content and photosynthetic tissue area from spectral reflectance: a comparison of indices based on liquid water and chlorophyll absorption features","created_at":"2022-03-26T18:57:02.234-07:00","url":"https://www.academia.edu/74655778/Estimation_of_vegetation_water_content_and_photosynthetic_tissue_area_from_spectral_reflectance_a_comparison_of_indices_based_on_liquid_water_and_chlorophyll_absorption_features?f_ri=13211","dom_id":"work_74655778","summary":null,"downloadable_attachments":[{"id":82730265,"asset_id":74655778,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":32930498,"first_name":"John","last_name":"Gamon","domain_name":"ualberta","page_name":"JohnGamon","display_name":"John Gamon","profile_url":"https://ualberta.academia.edu/JohnGamon?f_ri=13211","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":511,"name":"Materials Science","url":"https://www.academia.edu/Documents/in/Materials_Science?f_ri=13211","nofollow":false},{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=13211","nofollow":false},{"id":5345,"name":"Photosynthesis","url":"https://www.academia.edu/Documents/in/Photosynthesis?f_ri=13211","nofollow":false},{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false},{"id":23940,"name":"Near Infrared","url":"https://www.academia.edu/Documents/in/Near_Infrared?f_ri=13211"},{"id":162010,"name":"Geomatic Engineering","url":"https://www.academia.edu/Documents/in/Geomatic_Engineering?f_ri=13211"},{"id":205952,"name":"Leaf Area Index","url":"https://www.academia.edu/Documents/in/Leaf_Area_Index?f_ri=13211"},{"id":242028,"name":"Water Absorption","url":"https://www.academia.edu/Documents/in/Water_Absorption?f_ri=13211"},{"id":321836,"name":"Spectrum","url":"https://www.academia.edu/Documents/in/Spectrum?f_ri=13211"},{"id":402722,"name":"Vegetation Index","url":"https://www.academia.edu/Documents/in/Vegetation_Index?f_ri=13211"},{"id":467081,"name":"Functional Type","url":"https://www.academia.edu/Documents/in/Functional_Type?f_ri=13211"},{"id":501035,"name":"Spectral Reflectance","url":"https://www.academia.edu/Documents/in/Spectral_Reflectance?f_ri=13211"},{"id":749302,"name":"Indexation","url":"https://www.academia.edu/Documents/in/Indexation?f_ri=13211"},{"id":845678,"name":"Water Content","url":"https://www.academia.edu/Documents/in/Water_Content?f_ri=13211"},{"id":1149994,"name":"Leaf Area","url":"https://www.academia.edu/Documents/in/Leaf_Area?f_ri=13211"},{"id":1191377,"name":"Water Vapor","url":"https://www.academia.edu/Documents/in/Water_Vapor?f_ri=13211"},{"id":2184443,"name":"Normalized Difference Vegetation Index","url":"https://www.academia.edu/Documents/in/Normalized_Difference_Vegetation_Index?f_ri=13211"},{"id":2582328,"name":"Vegetation Water Content","url":"https://www.academia.edu/Documents/in/Vegetation_Water_Content?f_ri=13211"},{"id":2682618,"name":"Water Index","url":"https://www.academia.edu/Documents/in/Water_Index?f_ri=13211"},{"id":3013516,"name":"plant tissue","url":"https://www.academia.edu/Documents/in/plant_tissue?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_73672681" data-work_id="73672681" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/73672681/PS_InSAR_Analysis_of_Sentinel_1_Data_for_Detecting_Ground_Motion_in_Temperate_Oceanic_Climate_Zones_A_Case_Study_in_the_Republic_of_Ireland">PS-InSAR Analysis of Sentinel-1 Data for Detecting Ground Motion in Temperate Oceanic Climate Zones: A Case Study in the Republic of Ireland</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Regions of temperate oceanic climate have historically represented a challenge for the application of satellite-based multi-temporal SAR interferometry. The landscapes of such regions are commonly characterized by extensive,... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_73672681" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Regions of temperate oceanic climate have historically represented a challenge for the application of satellite-based multi-temporal SAR interferometry. The landscapes of such regions are commonly characterized by extensive, seasonally-variable vegetation coverage that can cause low temporal coherence and limit the detection capabilities of SAR imagery as acquired, for instance, by previous ERS-1/2 and ENVISAT missions. In this work, we exploited the enhanced resolution in space and time of the recently deployed Sentinel-1A/B SAR satellites to detect and monitor ground motions occurring in two study areas in the Republic of Ireland. The first, is a ~1800 km2 area spanning the upland karst of the Clare Burren and the adjacent mantled lowland karst of east Galway. The second, is an area of 100 km2 in Co. Meath spanning an active mine site. The available datasets, consisting of more than 100 images acquired in both ascending and descending orbits from April 2015 to March 2018, were pro...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/73672681" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="43ba9f801eb2413aafe4af4bdc9f424e" rel="nofollow" data-download="{"attachment_id":82102347,"asset_id":73672681,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/82102347/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="39557589" href="https://unipd.academia.edu/MarioFloris">Mario Floris</a><script data-card-contents-for-user="39557589" type="text/json">{"id":39557589,"first_name":"Mario","last_name":"Floris","domain_name":"unipd","page_name":"MarioFloris","display_name":"Mario Floris","profile_url":"https://unipd.academia.edu/MarioFloris?f_ri=13211","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_73672681 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="73672681"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 73672681, container: ".js-paper-rank-work_73672681", }); 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$(".js-view-count[data-work-id=73672681]").text(description); $(".js-view-count-work_73672681").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_73672681").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="73672681"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">20</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="406" href="https://www.academia.edu/Documents/in/Geology">Geology</a>, <script data-card-contents-for-ri="406" type="text/json">{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="422" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1252" href="https://www.academia.edu/Documents/in/Remote_Sensing">Remote Sensing</a>, <script data-card-contents-for-ri="1252" type="text/json">{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1275" href="https://www.academia.edu/Documents/in/Coastal_Management">Coastal Management</a><script data-card-contents-for-ri="1275" type="text/json">{"id":1275,"name":"Coastal Management","url":"https://www.academia.edu/Documents/in/Coastal_Management?f_ri=13211","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=73672681]'), work: {"id":73672681,"title":"PS-InSAR Analysis of Sentinel-1 Data for Detecting Ground Motion in Temperate Oceanic Climate Zones: A Case Study in the Republic of Ireland","created_at":"2022-03-13T10:04:54.788-07:00","url":"https://www.academia.edu/73672681/PS_InSAR_Analysis_of_Sentinel_1_Data_for_Detecting_Ground_Motion_in_Temperate_Oceanic_Climate_Zones_A_Case_Study_in_the_Republic_of_Ireland?f_ri=13211","dom_id":"work_73672681","summary":"Regions of temperate oceanic climate have historically represented a challenge for the application of satellite-based multi-temporal SAR interferometry. The landscapes of such regions are commonly characterized by extensive, seasonally-variable vegetation coverage that can cause low temporal coherence and limit the detection capabilities of SAR imagery as acquired, for instance, by previous ERS-1/2 and ENVISAT missions. In this work, we exploited the enhanced resolution in space and time of the recently deployed Sentinel-1A/B SAR satellites to detect and monitor ground motions occurring in two study areas in the Republic of Ireland. The first, is a ~1800 km2 area spanning the upland karst of the Clare Burren and the adjacent mantled lowland karst of east Galway. The second, is an area of 100 km2 in Co. Meath spanning an active mine site. The available datasets, consisting of more than 100 images acquired in both ascending and descending orbits from April 2015 to March 2018, were pro...","downloadable_attachments":[{"id":82102347,"asset_id":73672681,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":39557589,"first_name":"Mario","last_name":"Floris","domain_name":"unipd","page_name":"MarioFloris","display_name":"Mario Floris","profile_url":"https://unipd.academia.edu/MarioFloris?f_ri=13211","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology?f_ri=13211","nofollow":false},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=13211","nofollow":false},{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=13211","nofollow":false},{"id":1275,"name":"Coastal Management","url":"https://www.academia.edu/Documents/in/Coastal_Management?f_ri=13211","nofollow":false},{"id":1286,"name":"Coastal Engineering","url":"https://www.academia.edu/Documents/in/Coastal_Engineering?f_ri=13211"},{"id":4367,"name":"Infrastructure Planning","url":"https://www.academia.edu/Documents/in/Infrastructure_Planning?f_ri=13211"},{"id":6221,"name":"Rail Transport and Infrastructure","url":"https://www.academia.edu/Documents/in/Rail_Transport_and_Infrastructure?f_ri=13211"},{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211"},{"id":14283,"name":"Remote Sensing (Earth Sciences)","url":"https://www.academia.edu/Documents/in/Remote_Sensing_Earth_Sciences_?f_ri=13211"},{"id":14332,"name":"Transportation Infrastructure Systems","url":"https://www.academia.edu/Documents/in/Transportation_Infrastructure_Systems?f_ri=13211"},{"id":18101,"name":"InSAR (Earth Sciences)","url":"https://www.academia.edu/Documents/in/InSAR_Earth_Sciences_?f_ri=13211"},{"id":18286,"name":"Remote Sensing and GIS Applied to Natural Resources and Population","url":"https://www.academia.edu/Documents/in/Remote_Sensing_and_GIS_Applied_to_Natural_Resources_and_Population?f_ri=13211"},{"id":19522,"name":"Remote sensing and GIS applications in Landscape Research","url":"https://www.academia.edu/Documents/in/Remote_sensing_and_GIS_applications_in_Landscape_Research?f_ri=13211"},{"id":23408,"name":"Remote sensing and GIS","url":"https://www.academia.edu/Documents/in/Remote_sensing_and_GIS?f_ri=13211"},{"id":43371,"name":"Copernicus","url":"https://www.academia.edu/Documents/in/Copernicus?f_ri=13211"},{"id":77342,"name":"Infrastructure","url":"https://www.academia.edu/Documents/in/Infrastructure?f_ri=13211"},{"id":87756,"name":"Integrated Coastal Zone Management","url":"https://www.academia.edu/Documents/in/Integrated_Coastal_Zone_Management?f_ri=13211"},{"id":90659,"name":"InSAR","url":"https://www.academia.edu/Documents/in/InSAR?f_ri=13211"},{"id":297890,"name":"InSAR deformation monitoring","url":"https://www.academia.edu/Documents/in/InSAR_deformation_monitoring?f_ri=13211"},{"id":1171357,"name":"Peat Soil","url":"https://www.academia.edu/Documents/in/Peat_Soil?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_50749317" data-work_id="50749317" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/50749317/Comparison_of_methods_for_filling_in_gaps_in_monthly_rainfall_series_in_arid_regions">Comparison of methods for filling in gaps in monthly rainfall series in arid regions</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Full and reliable rainfall data are required for hydrological modeling, integrated water resource management, and planning. However, these data suffer from record gaps and sparse rain gage distribution, which implies that the use of an... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_50749317" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Full and reliable rainfall data are required for hydrological modeling, integrated water resource management, and planning. However, these data suffer from record gaps and sparse rain gage distribution, which implies that the use of an imputation method is crucial. This study aims to compare the outputs from ten imputation methods that were used to infill missing rainfall depth data (MRD) in an arid Mediterranean region. Different statistical tests were used to assess the outputs from the imputation methods. The results showed that for MRD ranges between 5% and 20% the stepwise multiple linear regression (MLRsw) method was valid and produced the best results with a root mean square error (RSME) and mean absolute error (MAE) of less than 7 mm and 2 mm, respectively. This was followed by the Monte Carlo Markov chain expectation‐maximization‐based multiple imputation (MI‐MCMC) method, which had an RSME and MAE of 1.01 mm and 0.08 mm, respectively, at 20% MRD. On the other hand, the use of satellite data for imputation (LR_GPCC estimates) was appropriate for MRD ranging between 10% and 15%, while the statistical and spatial method was suitable for MRD of less than 5%. This article is protected by copyright. All rights reserved.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/50749317" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b71004257edbb359ed5e988db34515a4" rel="nofollow" data-download="{"attachment_id":68620383,"asset_id":50749317,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/68620383/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="16744455" href="https://independent.academia.edu/ZainabAbuRomman">Zeinab M Abu Romman</a><script data-card-contents-for-user="16744455" type="text/json">{"id":16744455,"first_name":"Zeinab","last_name":"Abu Romman","domain_name":"independent","page_name":"ZainabAbuRomman","display_name":"Zeinab M Abu Romman","profile_url":"https://independent.academia.edu/ZainabAbuRomman?f_ri=13211","photo":"https://0.academia-photos.com/16744455/4582102/74453110/s65_zeinab.abu_romman.jpg"}</script></span></span></li><li class="js-paper-rank-work_50749317 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="50749317"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 50749317, container: ".js-paper-rank-work_50749317", }); });</script></li><li class="js-percentile-work_50749317 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 50749317; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_50749317"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_50749317 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="50749317"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 50749317; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=50749317]").text(description); $(".js-view-count-work_50749317").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_50749317").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="50749317"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">12</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="1362" href="https://www.academia.edu/Documents/in/Spatial_Analysis">Spatial Analysis</a>, <script data-card-contents-for-ri="1362" type="text/json">{"id":1362,"name":"Spatial Analysis","url":"https://www.academia.edu/Documents/in/Spatial_Analysis?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="13211" href="https://www.academia.edu/Documents/in/Satellite_remote_sensing">Satellite remote sensing</a>, <script data-card-contents-for-ri="13211" type="text/json">{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="20808" href="https://www.academia.edu/Documents/in/Interpolation_Geostatistics_">Interpolation (Geostatistics)</a>, <script data-card-contents-for-ri="20808" type="text/json">{"id":20808,"name":"Interpolation (Geostatistics)","url":"https://www.academia.edu/Documents/in/Interpolation_Geostatistics_?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="21068" href="https://www.academia.edu/Documents/in/Rainfall-Runoff_modelling">Rainfall-Runoff modelling</a><script data-card-contents-for-ri="21068" type="text/json">{"id":21068,"name":"Rainfall-Runoff modelling","url":"https://www.academia.edu/Documents/in/Rainfall-Runoff_modelling?f_ri=13211","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=50749317]'), work: {"id":50749317,"title":"Comparison of methods for filling in gaps in monthly rainfall series in arid regions","created_at":"2021-08-05T07:21:32.321-07:00","url":"https://www.academia.edu/50749317/Comparison_of_methods_for_filling_in_gaps_in_monthly_rainfall_series_in_arid_regions?f_ri=13211","dom_id":"work_50749317","summary":"Full and reliable rainfall data are required for hydrological modeling, integrated water resource management, and planning. However, these data suffer from record gaps and sparse rain gage distribution, which implies that the use of an imputation method is crucial. This study aims to compare the outputs from ten imputation methods that were used to infill missing rainfall depth data (MRD) in an arid Mediterranean region. Different statistical tests were used to assess the outputs from the imputation methods. The results showed that for MRD ranges between 5% and 20% the stepwise multiple linear regression (MLRsw) method was valid and produced the best results with a root mean square error (RSME) and mean absolute error (MAE) of less than 7 mm and 2 mm, respectively. This was followed by the Monte Carlo Markov chain expectation‐maximization‐based multiple imputation (MI‐MCMC) method, which had an RSME and MAE of 1.01 mm and 0.08 mm, respectively, at 20% MRD. On the other hand, the use of satellite data for imputation (LR_GPCC estimates) was appropriate for MRD ranging between 10% and 15%, while the statistical and spatial method was suitable for MRD of less than 5%. This article is protected by copyright. All rights reserved.","downloadable_attachments":[{"id":68620383,"asset_id":50749317,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":16744455,"first_name":"Zeinab","last_name":"Abu Romman","domain_name":"independent","page_name":"ZainabAbuRomman","display_name":"Zeinab M Abu Romman","profile_url":"https://independent.academia.edu/ZainabAbuRomman?f_ri=13211","photo":"https://0.academia-photos.com/16744455/4582102/74453110/s65_zeinab.abu_romman.jpg"}],"research_interests":[{"id":1362,"name":"Spatial Analysis","url":"https://www.academia.edu/Documents/in/Spatial_Analysis?f_ri=13211","nofollow":false},{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false},{"id":20808,"name":"Interpolation (Geostatistics)","url":"https://www.academia.edu/Documents/in/Interpolation_Geostatistics_?f_ri=13211","nofollow":false},{"id":21068,"name":"Rainfall-Runoff modelling","url":"https://www.academia.edu/Documents/in/Rainfall-Runoff_modelling?f_ri=13211","nofollow":false},{"id":23056,"name":"Geo-spatial analysis with GIS and GPS","url":"https://www.academia.edu/Documents/in/Geo-spatial_analysis_with_GIS_and_GPS?f_ri=13211"},{"id":133305,"name":"Rainfall Climatology","url":"https://www.academia.edu/Documents/in/Rainfall_Climatology?f_ri=13211"},{"id":224578,"name":"Multiple Regression","url":"https://www.academia.edu/Documents/in/Multiple_Regression?f_ri=13211"},{"id":254570,"name":"Interpolation","url":"https://www.academia.edu/Documents/in/Interpolation?f_ri=13211"},{"id":449048,"name":"SPATIAL INTERPOLATION ON RAINFALL","url":"https://www.academia.edu/Documents/in/SPATIAL_INTERPOLATION_ON_RAINFALL?f_ri=13211"},{"id":492721,"name":"Multiple Imputation","url":"https://www.academia.edu/Documents/in/Multiple_Imputation?f_ri=13211"},{"id":633773,"name":"Rainfall Trend Analysis","url":"https://www.academia.edu/Documents/in/Rainfall_Trend_Analysis?f_ri=13211"},{"id":995790,"name":"Inverse Distance Weighted Interpolation","url":"https://www.academia.edu/Documents/in/Inverse_Distance_Weighted_Interpolation?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_35157371" data-work_id="35157371" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/35157371/Corona_over_Cuba_The_Missile_Crisis_and_the_Early_Limitations_of_Satellite_Imagery_Intelligence">Corona over Cuba: The Missile Crisis and the Early Limitations of Satellite Imagery Intelligence</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In the autumn of 1962, two weeks before U-2 aerial photographs confirmed Soviet deployments of nuclear missiles in Cuba, the US intelligence community attempted to image the island with the spy satellite Corona. Insufficient image... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_35157371" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In the autumn of 1962, two weeks before U-2 aerial photographs confirmed Soviet deployments of nuclear missiles in Cuba, the US intelligence community attempted to image the island with the spy satellite Corona. Insufficient image resolution and extensive cloud cover, however, prevented this photography from providing solid evidence confirming or denying the presence of offensive missiles. This event – previously unaddressed either by Missile Crisis or Corona scholars – illustrates both the promise and the limits of early satellite imagery intelligence. It further provides insight into the early imagery tasking and coordination process and demonstrates needs that drove further development of national satellite reconnaissance in the years that followed.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/35157371" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="fec42c92fee4c98e1996a8f77f7f3f21" rel="nofollow" data-download="{"attachment_id":58909537,"asset_id":35157371,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/58909537/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="71399304" href="https://ni-u.academia.edu/JosephCaddell">Joseph Caddell</a><script data-card-contents-for-user="71399304" type="text/json">{"id":71399304,"first_name":"Joseph","last_name":"Caddell","domain_name":"ni-u","page_name":"JosephCaddell","display_name":"Joseph Caddell","profile_url":"https://ni-u.academia.edu/JosephCaddell?f_ri=13211","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_35157371 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="35157371"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 35157371, container: ".js-paper-rank-work_35157371", }); 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Insufficient image resolution and extensive cloud cover, however, prevented this photography from providing solid evidence confirming or denying the presence of offensive missiles. This event – previously unaddressed either by Missile Crisis or Corona scholars – illustrates both the promise and the limits of early satellite imagery intelligence. It further provides insight into the early imagery tasking and coordination process and demonstrates needs that drove further development of national satellite reconnaissance in the years that followed.","downloadable_attachments":[{"id":58909537,"asset_id":35157371,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":71399304,"first_name":"Joseph","last_name":"Caddell","domain_name":"ni-u","page_name":"JosephCaddell","display_name":"Joseph Caddell","profile_url":"https://ni-u.academia.edu/JosephCaddell?f_ri=13211","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":570,"name":"Military Intelligence","url":"https://www.academia.edu/Documents/in/Military_Intelligence?f_ri=13211","nofollow":false},{"id":1589,"name":"Photography","url":"https://www.academia.edu/Documents/in/Photography?f_ri=13211","nofollow":false},{"id":2052,"name":"Intelligence Studies","url":"https://www.academia.edu/Documents/in/Intelligence_Studies?f_ri=13211","nofollow":false},{"id":3705,"name":"International Security","url":"https://www.academia.edu/Documents/in/International_Security?f_ri=13211","nofollow":false},{"id":5214,"name":"Cold War","url":"https://www.academia.edu/Documents/in/Cold_War?f_ri=13211"},{"id":12628,"name":"Intelligence and Espionage","url":"https://www.academia.edu/Documents/in/Intelligence_and_Espionage?f_ri=13211"},{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211"},{"id":20079,"name":"History of photography","url":"https://www.academia.edu/Documents/in/History_of_photography?f_ri=13211"},{"id":21359,"name":"Imagery Intelligence","url":"https://www.academia.edu/Documents/in/Imagery_Intelligence?f_ri=13211"},{"id":35802,"name":"Cold War history","url":"https://www.academia.edu/Documents/in/Cold_War_history?f_ri=13211"},{"id":37359,"name":"National Security (Intelligence)","url":"https://www.academia.edu/Documents/in/National_Security_Intelligence_?f_ri=13211"},{"id":61443,"name":"Spying and Intelligence","url":"https://www.academia.edu/Documents/in/Spying_and_Intelligence?f_ri=13211"},{"id":72170,"name":"Intelligence History","url":"https://www.academia.edu/Documents/in/Intelligence_History?f_ri=13211"},{"id":105459,"name":"Cuban Missile Crisis","url":"https://www.academia.edu/Documents/in/Cuban_Missile_Crisis?f_ri=13211"},{"id":112987,"name":"Espionage","url":"https://www.academia.edu/Documents/in/Espionage?f_ri=13211"},{"id":149459,"name":"History of Espionage","url":"https://www.academia.edu/Documents/in/History_of_Espionage?f_ri=13211"},{"id":346639,"name":"Intelligence and security studies","url":"https://www.academia.edu/Documents/in/Intelligence_and_security_studies?f_ri=13211"},{"id":485701,"name":"Aerial Reconnaissance","url":"https://www.academia.edu/Documents/in/Aerial_Reconnaissance?f_ri=13211"},{"id":565408,"name":"Understanding Cuban Missile Crisis","url":"https://www.academia.edu/Documents/in/Understanding_Cuban_Missile_Crisis?f_ri=13211"},{"id":829164,"name":"Intelligence and National Security","url":"https://www.academia.edu/Documents/in/Intelligence_and_National_Security?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_31110555 coauthored" data-work_id="31110555" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/31110555/NEW_PAYLOAD_DATA_DOWNLINK_FOR_CNES_EARTH_OBSERVATION_MISSIONS_TTC_2016">NEW PAYLOAD DATA DOWNLINK FOR CNES EARTH OBSERVATION MISSIONS - TTC 2016</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This paper gives an overview of CNES activities in the field of very High Data Rate Telemetry (HDRT) for new very high resolution Earth observation satellites. A CNES technological program 'OTOS' (former 'CXCI') was committed in 2011 to... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_31110555" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This paper gives an overview of CNES activities in the field of very High Data Rate Telemetry (HDRT) for new very high resolution Earth observation satellites.<br /><br />A CNES technological program 'OTOS' (former 'CXCI') was committed in 2011 to develop and demonstrate key technologies for a new generation of optical observation satellites system ('Pléiades' follow-on system), among them in particular an active telescope demonstrator.<br /><br />A part of the program was allocated to HDRT developments:<br /><br />- a 'DVB-S2 transmitter' and a 'DVB-S2 receiver' using CCSDS recommended standard 131.3 [1] (calling ETSI DVB-2 standard [2])<br /><br />- an Antenna Pointing System (APS) based on an Antenna Pointing Mechanism (APM).</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/31110555" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="9d5d314e0dc646608fc51ffaf3f4fce5" rel="nofollow" data-download="{"attachment_id":51545929,"asset_id":31110555,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/51545929/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="38779210" href="https://independent.academia.edu/JeanlucIssler">Jean-luc Issler</a><script data-card-contents-for-user="38779210" type="text/json">{"id":38779210,"first_name":"Jean-luc","last_name":"Issler","domain_name":"independent","page_name":"JeanlucIssler","display_name":"Jean-luc Issler","profile_url":"https://independent.academia.edu/JeanlucIssler?f_ri=13211","photo":"https://0.academia-photos.com/38779210/15513225/16116726/s65_jean-luc.issler.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-31110555">+2</span><div class="hidden js-additional-users-31110555"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/JeanPierreMillerioux">Jean-Pierre Millerioux</a></span></div><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/CLaporte2">C. Laporte</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-31110555'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-31110555').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_31110555 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="31110555"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 31110555, container: ".js-paper-rank-work_31110555", }); });</script></li><li class="js-percentile-work_31110555 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 31110555; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_31110555"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_31110555 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="31110555"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31110555; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=31110555]").text(description); $(".js-view-count-work_31110555").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_31110555").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="31110555"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">17</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="400" href="https://www.academia.edu/Documents/in/Earth_Sciences">Earth Sciences</a>, <script data-card-contents-for-ri="400" type="text/json">{"id":400,"name":"Earth Sciences","url":"https://www.academia.edu/Documents/in/Earth_Sciences?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9011" href="https://www.academia.edu/Documents/in/Spacecraft_Engineering">Spacecraft Engineering</a>, <script data-card-contents-for-ri="9011" type="text/json">{"id":9011,"name":"Spacecraft Engineering","url":"https://www.academia.edu/Documents/in/Spacecraft_Engineering?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="11569" href="https://www.academia.edu/Documents/in/Satellite_Communications">Satellite Communications</a>, <script data-card-contents-for-ri="11569" type="text/json">{"id":11569,"name":"Satellite Communications","url":"https://www.academia.edu/Documents/in/Satellite_Communications?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="13211" href="https://www.academia.edu/Documents/in/Satellite_remote_sensing">Satellite remote sensing</a><script data-card-contents-for-ri="13211" type="text/json">{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=31110555]'), work: {"id":31110555,"title":"NEW PAYLOAD DATA DOWNLINK FOR CNES EARTH OBSERVATION MISSIONS - TTC 2016","created_at":"2017-01-29T08:43:57.116-08:00","url":"https://www.academia.edu/31110555/NEW_PAYLOAD_DATA_DOWNLINK_FOR_CNES_EARTH_OBSERVATION_MISSIONS_TTC_2016?f_ri=13211","dom_id":"work_31110555","summary":"This paper gives an overview of CNES activities in the field of very High Data Rate Telemetry (HDRT) for new very high resolution Earth observation satellites.\n\nA CNES technological program 'OTOS' (former 'CXCI') was committed in 2011 to develop and demonstrate key technologies for a new generation of optical observation satellites system ('Pléiades' follow-on system), among them in particular an active telescope demonstrator.\n\nA part of the program was allocated to HDRT developments:\n\n- a 'DVB-S2 transmitter' and a 'DVB-S2 receiver' using CCSDS recommended standard 131.3 [1] (calling ETSI DVB-2 standard [2])\n\n- an Antenna Pointing System (APS) based on an Antenna Pointing Mechanism (APM).","downloadable_attachments":[{"id":51545929,"asset_id":31110555,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":38779210,"first_name":"Jean-luc","last_name":"Issler","domain_name":"independent","page_name":"JeanlucIssler","display_name":"Jean-luc Issler","profile_url":"https://independent.academia.edu/JeanlucIssler?f_ri=13211","photo":"https://0.academia-photos.com/38779210/15513225/16116726/s65_jean-luc.issler.jpg"},{"id":59563665,"first_name":"Jean-Pierre","last_name":"Millerioux","domain_name":"independent","page_name":"JeanPierreMillerioux","display_name":"Jean-Pierre Millerioux","profile_url":"https://independent.academia.edu/JeanPierreMillerioux?f_ri=13211","photo":"/images/s65_no_pic.png"},{"id":59483953,"first_name":"C.","last_name":"Laporte","domain_name":"independent","page_name":"CLaporte2","display_name":"C. 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u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/7761710/Assessment_with_satellite_data_of_the_urban_heat_island_effects_in_Asian_mega_cities">Assessment with satellite data of the urban heat island effects in Asian mega cities</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/7761710" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="4cad4d0ea8a94b89a1fb6dbc3a1db5ea" rel="nofollow" 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type="text/json">{"id":14260639,"first_name":"Hung","last_name":"Tran","domain_name":"independent","page_name":"HungTran38","display_name":"Hung Tran","profile_url":"https://independent.academia.edu/HungTran38?f_ri=13211","photo":"https://0.academia-photos.com/14260639/3907839/4569696/s65_hung.tran.jpg"}</script></span></span></li><li class="js-paper-rank-work_7761710 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="7761710"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 7761710, container: ".js-paper-rank-work_7761710", }); });</script></li><li class="js-percentile-work_7761710 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 7761710; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_7761710"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_7761710 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="7761710"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 7761710; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=7761710]").text(description); $(".js-view-count-work_7761710").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_7761710").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="7761710"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">25</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="1252" href="https://www.academia.edu/Documents/in/Remote_Sensing">Remote Sensing</a>, <script data-card-contents-for-ri="1252" type="text/json">{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5412" href="https://www.academia.edu/Documents/in/Energy">Energy</a>, <script data-card-contents-for-ri="5412" type="text/json">{"id":5412,"name":"Energy","url":"https://www.academia.edu/Documents/in/Energy?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="13211" href="https://www.academia.edu/Documents/in/Satellite_remote_sensing">Satellite remote sensing</a>, <script data-card-contents-for-ri="13211" type="text/json">{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="13701" href="https://www.academia.edu/Documents/in/Climate">Climate</a><script data-card-contents-for-ri="13701" type="text/json">{"id":13701,"name":"Climate","url":"https://www.academia.edu/Documents/in/Climate?f_ri=13211","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=7761710]'), work: {"id":7761710,"title":"Assessment with satellite data 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itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/42150263/Groundwater_potential_zones_using_combination_of_geospatial_technology_and_geophysical_approach_case_study_in_Dehradun_India">Groundwater potential zones using combination of geospatial technology and geophysical approach: case study in Dehradun, India</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">A combination of geospatial, geophysical and statistical models using satellite data, the weighted index overlay (WIO) method and two-dimensional electrical resistivity tomography (2D-ERT) is applied to generate the highest potential... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_42150263" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">A combination of geospatial, geophysical and statistical models using satellite data, the weighted index overlay (WIO) method and two-dimensional electrical resistivity tomography (2D-ERT) is applied to generate the highest potential groundwater area and to further explore the groundwater in Dehradun, India. The results show that of 19.7 km2 total basin area, 0.26% falls under the “poor” category as a prospect zone for groundwater, 4.3% is “moderate”, 10.10% “moderately good”, 4.9% “good” and 0.17% “very good”. In addition, the demonstration of the geophysical survey is presented, in which Purkal Youth Society Division (PYSD) site is categorized as a shallow aquifer zone and the Guru Nanak Fifth Centenary School (GNFCS) site is a deeper aquifer zone. Our study emphasizes remote sensing and geographic information system integrated with a geophysical survey to support prospecting the most probable area and confirm the existence of groundwater.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/42150263" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c425eda01eca5f5ca427561384693e9e" rel="nofollow" data-download="{"attachment_id":62289842,"asset_id":42150263,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/62289842/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="97600916" href="https://iirs-nrsa.academia.edu/GundaGouthamkrishnateja">Gunda Goutham krishna teja</a><script data-card-contents-for-user="97600916" type="text/json">{"id":97600916,"first_name":"Gunda","last_name":"Goutham krishna teja","domain_name":"iirs-nrsa","page_name":"GundaGouthamkrishnateja","display_name":"Gunda Goutham krishna teja","profile_url":"https://iirs-nrsa.academia.edu/GundaGouthamkrishnateja?f_ri=13211","photo":"https://0.academia-photos.com/97600916/21603396/20948703/s65_gunda.goutham_krishna_teja.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-42150263">+2</span><div class="hidden js-additional-users-42150263"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://rub-ovc.academia.edu/SangayGyeltshen">Sangay Gyeltshen</a></span></div><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/GundaKrishna">Krishna Gunda</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-42150263'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-42150263').html(); 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container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_42150263 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="42150263"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 42150263; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=42150263]").text(description); $(".js-view-count-work_42150263").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_42150263").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="42150263"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="13211" href="https://www.academia.edu/Documents/in/Satellite_remote_sensing">Satellite remote sensing</a>, <script data-card-contents-for-ri="13211" type="text/json">{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="15582" href="https://www.academia.edu/Documents/in/Disaster_Management">Disaster Management</a>, <script data-card-contents-for-ri="15582" type="text/json">{"id":15582,"name":"Disaster Management","url":"https://www.academia.edu/Documents/in/Disaster_Management?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="881236" href="https://www.academia.edu/Documents/in/Groundwater_Investigation_using_geophysical_methods">Groundwater Investigation using geophysical methods</a><script data-card-contents-for-ri="881236" type="text/json">{"id":881236,"name":"Groundwater Investigation using geophysical methods","url":"https://www.academia.edu/Documents/in/Groundwater_Investigation_using_geophysical_methods?f_ri=13211","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=42150263]'), work: {"id":42150263,"title":"Groundwater potential zones using combination of geospatial technology and geophysical approach: case study in Dehradun, India","created_at":"2020-03-05T22:45:56.859-08:00","url":"https://www.academia.edu/42150263/Groundwater_potential_zones_using_combination_of_geospatial_technology_and_geophysical_approach_case_study_in_Dehradun_India?f_ri=13211","dom_id":"work_42150263","summary":"A combination of geospatial, geophysical and statistical models using satellite data, the weighted index overlay (WIO) method and two-dimensional electrical resistivity tomography (2D-ERT) is applied to generate the highest potential groundwater area and to further explore the groundwater in Dehradun, India. The results show that of 19.7 km2 total basin area, 0.26% falls under the “poor” category as a prospect zone for groundwater, 4.3% is “moderate”, 10.10% “moderately good”, 4.9% “good” and 0.17% “very good”. In addition, the demonstration of the geophysical survey is presented, in which Purkal Youth Society Division (PYSD) site is categorized as a shallow aquifer zone and the Guru Nanak Fifth Centenary School (GNFCS) site is a deeper aquifer zone. Our study emphasizes remote sensing and geographic information system integrated with a geophysical survey to support prospecting the most probable area and confirm the existence of groundwater.","downloadable_attachments":[{"id":62289842,"asset_id":42150263,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":97600916,"first_name":"Gunda","last_name":"Goutham krishna teja","domain_name":"iirs-nrsa","page_name":"GundaGouthamkrishnateja","display_name":"Gunda Goutham krishna teja","profile_url":"https://iirs-nrsa.academia.edu/GundaGouthamkrishnateja?f_ri=13211","photo":"https://0.academia-photos.com/97600916/21603396/20948703/s65_gunda.goutham_krishna_teja.jpg"},{"id":1835752,"first_name":"Sangay","last_name":"Gyeltshen","domain_name":"rub-ovc","page_name":"SangayGyeltshen","display_name":"Sangay Gyeltshen","profile_url":"https://rub-ovc.academia.edu/SangayGyeltshen?f_ri=13211","photo":"https://0.academia-photos.com/1835752/625019/19120590/s65_sangay.gyeltshen.jpg"},{"id":149907108,"first_name":"Krishna","last_name":"Gunda","domain_name":"independent","page_name":"GundaKrishna","display_name":"Krishna Gunda","profile_url":"https://independent.academia.edu/GundaKrishna?f_ri=13211","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false},{"id":15582,"name":"Disaster Management","url":"https://www.academia.edu/Documents/in/Disaster_Management?f_ri=13211","nofollow":false},{"id":881236,"name":"Groundwater Investigation using geophysical methods","url":"https://www.academia.edu/Documents/in/Groundwater_Investigation_using_geophysical_methods?f_ri=13211","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_9425791" data-work_id="9425791" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/9425791/Monitoring_of_Changes_in_Land_Use_Land_Cover_using_Multi_sensor_Satellite_Data">Monitoring of Changes in Land Use/ Land Cover using Multi-sensor Satellite Data</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Rapid growth in population coupled with expansion of urban fringe and encroachment in the prime land is a matter of great concern for the authorities associated with the urban planning. Satellite remote sensing offers varied advantages... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_9425791" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Rapid growth in population coupled with expansion of urban fringe and encroachment in the prime land is a matter of great concern for the authorities associated with the urban planning. Satellite remote sensing offers varied advantages and has been widely accepted as a technique for urban mapping as well as monitoring of changes in land use/ land cover. The expansion of sub-urban territory in Allahabad city of Uttar Pradesh State is a matter of concern for Planning Departments. Keeping this in view, it is planned to develop a remote sensing based methodology for the preparation of land use/ land cover map using digital image processing techniques for Allahabad city and to monitor the changes in various classes. For this, multi-date, multi-sensor remote sensing data of year 2000 (IRS-1D LISS-III) and year 1994 (IRS-1B LISS-II) has been used. Various land-use classes delineated include built-up, agriculture, sand, water, scrub and open/ barren land. The classification has been performed using maximum likelihood classifier in an iterative manner. Changes in area under major land use/ land cover types have been determined through the comparison of their spatial extent in 1994 and 2000. It is observed that there has been an increase of nearly 8.0 sq. km in built up area, coupled with decrease of about 20 sq. km and 2.5 sq. km in agriculture and scrub respectively in 6 years. The planning agencies in Allahabad city are expected to be benefited by the usage of remote sensing based methodology for achieving a balanced and sustainable development in the region.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/9425791" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="178aef60041b35d0da8e776323d95c69" rel="nofollow" data-download="{"attachment_id":35669067,"asset_id":9425791,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/35669067/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="20663023" href="https://mnnit.academia.edu/RDGupta">RD Gupta</a><script data-card-contents-for-user="20663023" type="text/json">{"id":20663023,"first_name":"RD","last_name":"Gupta","domain_name":"mnnit","page_name":"RDGupta","display_name":"RD Gupta","profile_url":"https://mnnit.academia.edu/RDGupta?f_ri=13211","photo":"https://0.academia-photos.com/20663023/5833223/6627115/s65_rd.gupta.jpg_oh_045fb05f3f05c2bf5fbcdf29d04b203b_oe_551d2570___gda___1425113144_0228c5180bd972a8d363cdbb5515e19e"}</script></span></span></li><li class="js-paper-rank-work_9425791 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="9425791"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 9425791, container: ".js-paper-rank-work_9425791", }); 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$(".js-view-count[data-work-id=9425791]").text(description); $(".js-view-count-work_9425791").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_9425791").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="9425791"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="13211" href="https://www.academia.edu/Documents/in/Satellite_remote_sensing">Satellite remote sensing</a>, <script data-card-contents-for-ri="13211" type="text/json">{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="43996" href="https://www.academia.edu/Documents/in/Land_Use_Change">Land Use Change</a>, <script data-card-contents-for-ri="43996" type="text/json">{"id":43996,"name":"Land Use Change","url":"https://www.academia.edu/Documents/in/Land_Use_Change?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="70719" href="https://www.academia.edu/Documents/in/Land_use_and_land_cover_change_modeling">Land use and land cover change modeling</a>, <script data-card-contents-for-ri="70719" type="text/json">{"id":70719,"name":"Land use and land cover change modeling","url":"https://www.academia.edu/Documents/in/Land_use_and_land_cover_change_modeling?f_ri=13211","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="932012" href="https://www.academia.edu/Documents/in/Land_Use_Land_Cover_Dynamics_and_LULc_Modeling">Land Use/ Land Cover Dynamics and LULc Modeling</a><script data-card-contents-for-ri="932012" type="text/json">{"id":932012,"name":"Land Use/ Land Cover Dynamics and LULc Modeling","url":"https://www.academia.edu/Documents/in/Land_Use_Land_Cover_Dynamics_and_LULc_Modeling?f_ri=13211","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=9425791]'), work: {"id":9425791,"title":"Monitoring of Changes in Land Use/ Land Cover using Multi-sensor Satellite Data","created_at":"2014-11-20T22:46:35.584-08:00","url":"https://www.academia.edu/9425791/Monitoring_of_Changes_in_Land_Use_Land_Cover_using_Multi_sensor_Satellite_Data?f_ri=13211","dom_id":"work_9425791","summary":"Rapid growth in population coupled with expansion of urban fringe and encroachment in the prime land is a matter of great concern for the authorities associated with the urban planning. Satellite remote sensing offers varied advantages and has been widely accepted as a technique for urban mapping as well as monitoring of changes in land use/ land cover. The expansion of sub-urban territory in Allahabad city of Uttar Pradesh State is a matter of concern for Planning Departments. Keeping this in view, it is planned to develop a remote sensing based methodology for the preparation of land use/ land cover map using digital image processing techniques for Allahabad city and to monitor the changes in various classes. For this, multi-date, multi-sensor remote sensing data of year 2000 (IRS-1D LISS-III) and year 1994 (IRS-1B LISS-II) has been used. Various land-use classes delineated include built-up, agriculture, sand, water, scrub and open/ barren land. The classification has been performed using maximum likelihood classifier in an iterative manner. Changes in area under major land use/ land cover types have been determined through the comparison of their spatial extent in 1994 and 2000. It is observed that there has been an increase of nearly 8.0 sq. km in built up area, coupled with decrease of about 20 sq. km and 2.5 sq. km in agriculture and scrub respectively in 6 years. The planning agencies in Allahabad city are expected to be benefited by the usage of remote sensing based methodology for achieving a balanced and sustainable development in the region.\n","downloadable_attachments":[{"id":35669067,"asset_id":9425791,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":20663023,"first_name":"RD","last_name":"Gupta","domain_name":"mnnit","page_name":"RDGupta","display_name":"RD Gupta","profile_url":"https://mnnit.academia.edu/RDGupta?f_ri=13211","photo":"https://0.academia-photos.com/20663023/5833223/6627115/s65_rd.gupta.jpg_oh_045fb05f3f05c2bf5fbcdf29d04b203b_oe_551d2570___gda___1425113144_0228c5180bd972a8d363cdbb5515e19e"}],"research_interests":[{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211","nofollow":false},{"id":43996,"name":"Land Use Change","url":"https://www.academia.edu/Documents/in/Land_Use_Change?f_ri=13211","nofollow":false},{"id":70719,"name":"Land use and land cover change modeling","url":"https://www.academia.edu/Documents/in/Land_use_and_land_cover_change_modeling?f_ri=13211","nofollow":false},{"id":932012,"name":"Land Use/ Land Cover Dynamics and LULc Modeling","url":"https://www.academia.edu/Documents/in/Land_Use_Land_Cover_Dynamics_and_LULc_Modeling?f_ri=13211","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_37662474" data-work_id="37662474" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/37662474/Earthquake_Precursors_Processes_and_Predictions">Earthquake Precursors, Processes, and Predictions</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/37662474" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="33a8d8a02fc959529932345a2a68b3f8" rel="nofollow" data-download="{"attachment_id":57650317,"asset_id":37662474,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/57650317/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="36406499" href="https://chapman.academia.edu/DimitarOuzounov">Dimitar Ouzounov</a><script data-card-contents-for-user="36406499" type="text/json">{"id":36406499,"first_name":"Dimitar","last_name":"Ouzounov","domain_name":"chapman","page_name":"DimitarOuzounov","display_name":"Dimitar Ouzounov","profile_url":"https://chapman.academia.edu/DimitarOuzounov?f_ri=13211","photo":"https://0.academia-photos.com/36406499/11488032/12813259/s65_dimitar.ouzounov.jpg"}</script></span></span></li><li class="js-paper-rank-work_37662474 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="37662474"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 37662474, container: ".js-paper-rank-work_37662474", }); 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Here we show that bleaching events of the past three decades have been mitigated by induced thermal tolerance of reef-building corals, and this protective... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_74898812" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Coral bleaching events threaten the sustainability of the Great Barrier Reef (GBR). Here we show that bleaching events of the past three decades have been mitigated by induced thermal tolerance of reef-building corals, and this protective mechanism is likely to be lost under near-future climate change scenarios. We show that 75% of past thermal stress events have been characterized by a temperature trajectory that subjects corals to a protective, sub-bleaching stress, before reaching temperatures that cause bleaching. Such conditions confer thermal tolerance, decreasing coral cell mortality and symbiont loss during bleaching by over 50%. We find that near-future increases in local temperature of as little as 0.5°C result in this protective mechanism being lost, which may increase the rate of degradation of the GBR.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/74898812" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="cdb524b227761ddfe03ae9a79efc1c27" rel="nofollow" data-download="{"attachment_id":82886395,"asset_id":74898812,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/82886395/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1023787" href="https://independent.academia.edu/MarkEakin">Mark Eakin</a><script data-card-contents-for-user="1023787" type="text/json">{"id":1023787,"first_name":"Mark","last_name":"Eakin","domain_name":"independent","page_name":"MarkEakin","display_name":"Mark Eakin","profile_url":"https://independent.academia.edu/MarkEakin?f_ri=13211","photo":"https://0.academia-photos.com/1023787/2704220/4142713/s65_mark.eakin.jpg"}</script></span></span></li><li class="js-paper-rank-work_74898812 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="74898812"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 74898812, container: ".js-paper-rank-work_74898812", }); 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Here we show that bleaching events of the past three decades have been mitigated by induced thermal tolerance of reef-building corals, and this protective mechanism is likely to be lost under near-future climate change scenarios. We show that 75% of past thermal stress events have been characterized by a temperature trajectory that subjects corals to a protective, sub-bleaching stress, before reaching temperatures that cause bleaching. Such conditions confer thermal tolerance, decreasing coral cell mortality and symbiont loss during bleaching by over 50%. We find that near-future increases in local temperature of as little as 0.5°C result in this protective mechanism being lost, which may increase the rate of degradation of the GBR.","downloadable_attachments":[{"id":82886395,"asset_id":74898812,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":1023787,"first_name":"Mark","last_name":"Eakin","domain_name":"independent","page_name":"MarkEakin","display_name":"Mark Eakin","profile_url":"https://independent.academia.edu/MarkEakin?f_ri=13211","photo":"https://0.academia-photos.com/1023787/2704220/4142713/s65_mark.eakin.jpg"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science?f_ri=13211","nofollow":false},{"id":1512,"name":"Climate Change","url":"https://www.academia.edu/Documents/in/Climate_Change?f_ri=13211","nofollow":false},{"id":5345,"name":"Photosynthesis","url":"https://www.academia.edu/Documents/in/Photosynthesis?f_ri=13211","nofollow":false},{"id":6779,"name":"Science","url":"https://www.academia.edu/Documents/in/Science?f_ri=13211","nofollow":false},{"id":7043,"name":"Symbiosis","url":"https://www.academia.edu/Documents/in/Symbiosis?f_ri=13211"},{"id":7807,"name":"Coral Reefs","url":"https://www.academia.edu/Documents/in/Coral_Reefs?f_ri=13211"},{"id":13211,"name":"Satellite remote sensing","url":"https://www.academia.edu/Documents/in/Satellite_remote_sensing?f_ri=13211"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine?f_ri=13211"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary?f_ri=13211"},{"id":35800,"name":"Coral Reef Ecology","url":"https://www.academia.edu/Documents/in/Coral_Reef_Ecology?f_ri=13211"},{"id":72878,"name":"Coral Bleaching","url":"https://www.academia.edu/Documents/in/Coral_Bleaching?f_ri=13211"},{"id":77753,"name":"Anthozoa","url":"https://www.academia.edu/Documents/in/Anthozoa?f_ri=13211"},{"id":112576,"name":"Cell Death","url":"https://www.academia.edu/Documents/in/Cell_Death?f_ri=13211"},{"id":282140,"name":"Great Barrier Reef","url":"https://www.academia.edu/Documents/in/Great_Barrier_Reef?f_ri=13211"},{"id":2796077,"name":"Cell count","url":"https://www.academia.edu/Documents/in/Cell_count?f_ri=13211"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_31005550 coauthored" data-work_id="31005550" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/31005550/Archaeological_Heritage_and_Multidisciplinary_Egyptological_Studies_3">Archaeological Heritage & Multidisciplinary Egyptological Studies 3</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">ARCHAEOLOGY AND ENVIRONMENT Understanding the Past to Design the Future a Multidisciplinary Approach Proceedings of the International Workshop “Italian Days in Aswan” 15th-18th November 2013 Edited by Giuseppina Capriotti Vittozzi And... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_31005550" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">ARCHAEOLOGY AND ENVIRONMENT<br />Understanding the Past to Design the Future<br />a Multidisciplinary Approach<br />Proceedings of the International Workshop<br />“Italian Days in Aswan”<br />15th-18th November 2013<br /><br />Edited by Giuseppina Capriotti Vittozzi And Francesco Porcelli<br /><br />With contributions by<br />H. Abd Al-Rahmana, A. Angelini, M.K. Badir Beshay, M. Baldi,<br />G. Capriotti Vittozzi, E.M. Ebrahim , H. Elhaes, M.Z. Elshandidy,<br />P. Falcioni, A. Faraman, R.J. Flower, L. Genovese, M. Hamdan,<br />F. A. Hassan, M. Ibrahim, K. Lemmens, B. Marcolongo,<br />M. Nilsson, H. Porfyriou,M. Sala, C. Stewart, J. Ward</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/31005550" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="3cf39b1093206feb1c16691dd70080e9" rel="nofollow" data-download="{"attachment_id":51438367,"asset_id":31005550,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/51438367/download_file?st=MTczMjc5NTIxNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1622086" href="https://cnr-it.academia.edu/CapriottiVittozziGiuseppina">Giuseppina Capriotti Vittozzi</a><script data-card-contents-for-user="1622086" type="text/json">{"id":1622086,"first_name":"Giuseppina","last_name":"Capriotti Vittozzi","domain_name":"cnr-it","page_name":"CapriottiVittozziGiuseppina","display_name":"Giuseppina Capriotti Vittozzi","profile_url":"https://cnr-it.academia.edu/CapriottiVittozziGiuseppina?f_ri=13211","photo":"https://0.academia-photos.com/1622086/568517/707872/s65_giuseppina.capriotti_vittozzi.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-31005550">+1</span><div class="hidden js-additional-users-31005550"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://polito.academia.edu/FPorcelli">F. 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