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class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Rafael Coll Delgado</h3></div><div class="js-work-strip profile--work_container" data-work-id="83643158"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643158/The_New_Transamazonian_Highway_BR_319_and_Its_Current_Environmental_Degradation"><img alt="Research paper thumbnail of The “New Transamazonian Highway”: BR-319 and Its Current Environmental Degradation" class="work-thumbnail" src="https://attachments.academia-assets.com/88920655/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643158/The_New_Transamazonian_Highway_BR_319_and_Its_Current_Environmental_Degradation">The “New Transamazonian Highway”: BR-319 and Its Current Environmental Degradation</a></div><div class="wp-workCard_item"><span>Sustainability</span><span>, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The Brazilian government intends to complete the paving of the BR-319 highway, which connects Por...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The Brazilian government intends to complete the paving of the BR-319 highway, which connects Porto Velho in the deforestation arc region with Manaus in the middle of the Amazon Forest. This paving is being planned despite environmental legislation, and there is concern that its effectiveness will cause additional deforestation, threatening large portions of forest, conservation units (CUs), and indigenous lands (ILs) in the surrounding areas. In this study, we evaluated environmental degradation along the BR-319 highway from 2008 to 2020 and verified whether highway maintenance has contributed to deforestation. For this purpose, we created a 20 km buffer adjacent to the BR-319 highway and evaluated variables extracted from remote sensing information between 2008 and 2020. Fire foci, burned areas, and rainfall data were used to calculate a drought index using statistical tests for a time series. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643157"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643157/Mapping_of_Agricultural_Areas_with_Support_Vector_Machine_in_the_Northwest_of_Minas_Gerais_Brazil"><img alt="Research paper thumbnail of Mapping of Agricultural Areas with Support Vector Machine in the Northwest of Minas Gerais, Brazil" class="work-thumbnail" src="https://attachments.academia-assets.com/88920686/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643157/Mapping_of_Agricultural_Areas_with_Support_Vector_Machine_in_the_Northwest_of_Minas_Gerais_Brazil">Mapping of Agricultural Areas with Support Vector Machine in the Northwest of Minas Gerais, Brazil</a></div><div class="wp-workCard_item"><span>Anuário do Instituto de Geociências - UFRJ</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A agricultura é um dos setores que mais se destaca na economia do Brasil, sendo necessário muitas...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A agricultura é um dos setores que mais se destaca na economia do Brasil, sendo necessário muitas vezes o emprego do sensoriamento remoto, para identificação da expansão das áreas agrícolas e estimativas da sua produção. Esse trabalho tem por objetivo mapear as áreas agrícolas do noroeste de Minas Gerais por meio de máquina de vetor de suporte e comparar os resultados obtidos com o censo estatístico do Instituto Brasileiro de Geografia e Estatística. Para identificação das áreas agrícolas foi utilizado o algoritmo Service Vector Machine e imagens dos satélites e sensores Landsat 8 / OLI e Terra / MODIS. As amostras de treinamento do algoritmo foram obtidas por meio de imagem de alta resolução espacial, disponível no programa Google Earth Pro, nas classes rios, floresta, agricultura, pastagem e silvicultura. O mapeamento utilizando imagem do sensor OLI apresentou melhor Acurácia Global (0,81) e Kappa (0,66). A classificação com imagem OLI e MODIS apresentaram maior precisão na classe agricultura quando comparada as demais classes, apresentando confusão com pastagem, em decorrência da alta fitomassa da pastagem na época de aquisição das imagens (verão). O cálculo das áreas agrícolas demonstra superestimativa do Service Vector Machine (SVM) na classificação das imagens OLI e MODIS, com forte relação dos dados MODIS com o censo do IBGE (R²=0,83). Apenas municípios com áreas agrícolas superiores a 50.000 ha apresentaram menor erro na estimativa das áreas agrícolas. A aplicação do algoritmo mostra-se potencial para mapeamento da agricultura por meio de imagens dos sensores MODIS e OLI, porém deve-se avaliar a época de aquisição das imagens orbitais e variações nos parâmetros do algoritmo para melhorar a acurácia da classificação.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e0f841cd53a592de828d695be05391a9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920686,"asset_id":83643157,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920686/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643157"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643157"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643157; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=83643157]").text(description); $(".js-view-count[data-work-id=83643157]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 83643157; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='83643157']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643156"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643156/Physical_attributes_of_the_river_basin_of_Roncador_river_associated_to_the_landscape_change_in_the_municipality_of_Mag%C3%A9_Rio_de_Janeiro_Brazil"><img alt="Research paper thumbnail of Physical attributes of the river basin of Roncador river associated to the landscape change in the municipality of Magé, Rio de Janeiro-Brazil" class="work-thumbnail" src="https://attachments.academia-assets.com/88920684/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643156/Physical_attributes_of_the_river_basin_of_Roncador_river_associated_to_the_landscape_change_in_the_municipality_of_Mag%C3%A9_Rio_de_Janeiro_Brazil">Physical attributes of the river basin of Roncador river associated to the landscape change in the municipality of Magé, Rio de Janeiro-Brazil</a></div><div class="wp-workCard_item"><span>Bioscience Journal</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The objective of this study was to conduct a temporal analysis of biophysical attributes of the r...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The objective of this study was to conduct a temporal analysis of biophysical attributes of the river basin of Rio Roncador, located in the municipality of Magé, Rio de Janeiro. SRTM data were used for the determination of the river basin morphometry and two images of the orbital platform Landsat5 TM sensor (01/28/1986 and 02/15/2010) applied the SEBAL algorithm to characterize the landscape dynamics. The results indicate that The river basin has a drainage area equivalent to 186.21 km2, perimeter 101.78 km, circularity index equal to 0.22, form factor 0.26 and compares index 2.09. These results indicate that the river basin is not prone to flooding, mainly due to its elongated form. It was possible to verify that in the interval of 24 years, degradation occurred in the region beyond the change in the coverage of the soil of the river basin. The results indicated a tendency of reduction in the areas of permanent preservation-13.4% of the river basin. It is concluded that anthropogenic actions were able to alter the surface cover of the soil and that, by the way, may have influenced the water dynamics of the river basin.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9d74ee7f59685eabf52e3ffb863eb996" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920684,"asset_id":83643156,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920684/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643156"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643156"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643156; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "9d74ee7f59685eabf52e3ffb863eb996" } } $('.js-work-strip[data-work-id=83643156]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":83643156,"title":"Physical attributes of the river basin of Roncador river associated to the landscape change in the municipality of Magé, Rio de Janeiro-Brazil","internal_url":"https://www.academia.edu/83643156/Physical_attributes_of_the_river_basin_of_Roncador_river_associated_to_the_landscape_change_in_the_municipality_of_Mag%C3%A9_Rio_de_Janeiro_Brazil","owner_id":5448607,"coauthors_can_edit":true,"owner":{"id":5448607,"first_name":"Rafael","middle_initials":null,"last_name":"Coll Delgado","page_name":"RafaelCollDelgado","domain_name":"independent","created_at":"2013-09-07T23:11:01.769-07:00","display_name":"Rafael Coll Delgado","url":"https://independent.academia.edu/RafaelCollDelgado"},"attachments":[{"id":88920684,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88920684/thumbnails/1.jpg","file_name":"22202.pdf","download_url":"https://www.academia.edu/attachments/88920684/download_file","bulk_download_file_name":"Physical_attributes_of_the_river_basin_o.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88920684/22202-libre.pdf?1658667581=\u0026response-content-disposition=attachment%3B+filename%3DPhysical_attributes_of_the_river_basin_o.pdf\u0026Expires=1740153645\u0026Signature=FFsWksCdnnT12ewQrasFXKBQ~eoRI7-H5CmT26R8-EAiaA2y2j4xgNRg1tB7yzhORnphsBo3DGAn~k6lv3Cwc2Ke~TUGO4sGGu23KRj1dKyX4uf4qv9I14wMod1S0MRLvw6br81Sv0wQqi0WJ5Zb2FKN5xrsRQ~c51mA1UOZBmsvYbmIQvEJymP~w7jbzKdRgOzZVRrYNznP7OBy7nXGS2ufbEIS4sMuNgwQ2BFrSEDPDOd2190MwfJS4YzQ65pk~fBPzs9VcRrDGByaH7RuecmMmpcgEL44pMVr3tmZtzANdRKGvy4g~2nwJUYfmb5sFAdpTGNrRGC-rgstPKPMrw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643155"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643155/Homogeneous_regions_for_rainfall_distribution_in_the_city_of_Rio_de_Janeiro_associated_with_the_risk_of_natural_disasters"><img alt="Research paper thumbnail of Homogeneous regions for rainfall distribution in the city of Rio de Janeiro associated with the risk of natural disasters" class="work-thumbnail" src="https://attachments.academia-assets.com/88920683/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643155/Homogeneous_regions_for_rainfall_distribution_in_the_city_of_Rio_de_Janeiro_associated_with_the_risk_of_natural_disasters">Homogeneous regions for rainfall distribution in the city of Rio de Janeiro associated with the risk of natural disasters</a></div><div class="wp-workCard_item"><span>Natural Hazards</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Objective: The spread of bovine spongiform encephalopathy (BSE) agent to small ruminants is still...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Objective: The spread of bovine spongiform encephalopathy (BSE) agent to small ruminants is still a major issue in the surveillance of transmissible spongiform encephalopathies (TSEs). L-type bovine spongiform encephalopathy (L-BSE) is an atypical form of BSE with an unknown zoonotic potential that is transmissible to cattle and small ruminants. Our current knowledge of bovine atypical prion strains in sheep and goat relies only on experimental transmission studies by intracranial inoculation. To assess oral susceptibility of goats to L-BSE, we orally inoculated five goats with cattle L-BSE brain homogenates and investigated pathogenic prion protein (PrP sc) distribution by an ultrasensitive in vitro conversion assay known as Real-Time Quaking Induced Conversion (RT-QuIC). Results: Despite a prolonged observation period of 80 months, all these animals and the uninfected controls did not develop clinical signs referable to TSEs and tested negative by standard diagnostics. Otherwise, RT-QuIC analysis showed seeding activity in five out of five examined brain samples. PrP sc accumulation was also detected in spinal cord and lymphoreticular system. These results indicate that caprine species are susceptible to L-BSE by oral transmission and that ultrasensitive prion tests deserve consideration to improve the potential of current surveillance systems against otherwise undetectable forms of animal prion infections.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="52fd84e124ef609a2d480416ce4208be" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920683,"asset_id":83643155,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920683/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643155"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643155"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643155; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643154"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643154/Determining_vegetation_dynamics_through_the_enhanced_vegetation_index_and_meteorological_variables_for_the_ribeir%C3%A3o_Cachimbal_basin_Rio_de_Janeiro_Brazil"><img alt="Research paper thumbnail of Determining vegetation dynamics through the enhanced vegetation index and meteorological variables for the ribeirão Cachimbal basin, Rio de Janeiro-Brazil" class="work-thumbnail" src="https://attachments.academia-assets.com/88920681/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643154/Determining_vegetation_dynamics_through_the_enhanced_vegetation_index_and_meteorological_variables_for_the_ribeir%C3%A3o_Cachimbal_basin_Rio_de_Janeiro_Brazil">Determining vegetation dynamics through the enhanced vegetation index and meteorological variables for the ribeirão Cachimbal basin, Rio de Janeiro-Brazil</a></div><div class="wp-workCard_item"><span>Bioscience Journal</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The objective of this study was to analyze a spatiotemporal study of the vegetation dynamics of t...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The objective of this study was to analyze a spatiotemporal study of the vegetation dynamics of the hydrographic basin of the Ribeirão Cachimbal in Rio de Janeiro (Brazil), based on Moderate-Resolution Imaging Spectroradiometer imagery acquired by the TERRA satellite. A total of 23 images were used for each year of El Niño (2005 and 2015), 250-m-resolution images from collection 006 of the 16-day Enhanced Vegetation Index (MOD13Q1) product were used. Daily rainfall and temperature data were obtained from a conventional meteorological station at Resende (Rio de Janeiro State), which were made available by the National Institute for Meteorology of Brazil. Simple linear regression analysis was performed to evaluate the dependence of the temporal series of vegetation as a function of the daily series of rainfall and temperature in terms of the significance of their correlation coefficients. Multivariate analysis of the main components was also undertaken. The results of the simple linear regression between the vegetation index and meteorological variables (temperature and rainfall) were significant in the respective years (p-value < 5%), except for rainfall in 2015, which presented a value of 0.06 (p-value < 25%). Observing the trend, both years (2005 and 2015 showed an increase in vegetation in the study area (Z = 0.37 and 0.24, respectively). By quantifying the values of the respective vegetation classes, it was possible to verify that a reduction of 40% had occurred in areas with dense vegetation coverage by 2015. The vegetation dynamics of the Ribeirão Cachimbal basin are influenced by rainfall and temperature variables and they have greatest correlation in spring and summer.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6342d6359d72071a7e99ef42a6c07e1f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920681,"asset_id":83643154,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920681/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643154"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643154"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643154; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643153"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643153/Physical_parameters_of_the_cachimbal_river_sub_basin_associated_to_landscape_change_in_Pinheiral_RJ_Brazil"><img alt="Research paper thumbnail of Physical parameters of the cachimbal river sub-basin associated to landscape change in Pinheiral-RJ, Brazil" class="work-thumbnail" src="https://attachments.academia-assets.com/88920682/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643153/Physical_parameters_of_the_cachimbal_river_sub_basin_associated_to_landscape_change_in_Pinheiral_RJ_Brazil">Physical parameters of the cachimbal river sub-basin associated to landscape change in Pinheiral-RJ, Brazil</a></div><div class="wp-workCard_item"><span>Bioscience Journal</span><span>, 2018</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e63ee79aa1199cb8d62ae4b883f85267" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920682,"asset_id":83643153,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920682/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643153"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643153"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643153; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643150"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643150/MODELO_3_PG_NA_PREVIS%C3%83O_DO_POTENCIAL_PRODUTIVO_DE_%C3%81REAS_PARA_PLANTIOS_COMERCIAIS_DE_Eucalyptus_spp"><img alt="Research paper thumbnail of MODELO 3-PG NA PREVISÃO DO POTENCIAL PRODUTIVO DE ÁREAS PARA PLANTIOS COMERCIAIS DE Eucalyptus spp" class="work-thumbnail" src="https://attachments.academia-assets.com/88920653/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643150/MODELO_3_PG_NA_PREVIS%C3%83O_DO_POTENCIAL_PRODUTIVO_DE_%C3%81REAS_PARA_PLANTIOS_COMERCIAIS_DE_Eucalyptus_spp">MODELO 3-PG NA PREVISÃO DO POTENCIAL PRODUTIVO DE ÁREAS PARA PLANTIOS COMERCIAIS DE Eucalyptus spp</a></div><div class="wp-workCard_item"><span>Ciência Florestal</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A predição da produção florestal requer conhecimento de variáveis dendrométricas e edafoclimática...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A predição da produção florestal requer conhecimento de variáveis dendrométricas e edafoclimáticas. Esse trabalho teve por objetivo ajustar e avaliar a precisão do modelo 3-PG em estimar as variáveis altura, diâmetro a altura do peito (DAP), volume e incremento médio anual (IMA) em plantio comercial de Eucalyptus spp. no norte de Minas Gerais, utilizando dados meteorológicos provenientes de estações automáticas de superfície e de sensoriamento remoto. Para validação do modelo foram estimados os dados de altura, DAP, volume e IMA pelo 3-PG e comparados com dados de inventários florestais, totalizando 335 medições, em 10 talhões, realizadas no período de 2005 a 2011. Foram aplicados os métodos estatísticos correlação linear (Pearson – r), coeficiente de determinação (R²), erro padrão da estimativa (Syx), erro padrão da estimativa em porcentagem (Syx%) e eficiente do modelo (EF).Observou-se que o modelo tende a superestimar as variáveis dendrométricas quando se utiliza a parametrização...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b38533eba49d14596a89afbbadeb44ee" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920653,"asset_id":83643150,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920653/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643150"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643150"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643150; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=83643150]").text(description); $(".js-view-count[data-work-id=83643150]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 83643150; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='83643150']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643148"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643148/Space_time_variability_of_the_Roncador_river_basin_in_the_change_of_land_use_and_cover_and_its_correlation_with_climatic_variables"><img alt="Research paper thumbnail of Space-time variability of the Roncador river basin in the change of land use and cover and its correlation with climatic variables" class="work-thumbnail" src="https://attachments.academia-assets.com/88920649/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643148/Space_time_variability_of_the_Roncador_river_basin_in_the_change_of_land_use_and_cover_and_its_correlation_with_climatic_variables">Space-time variability of the Roncador river basin in the change of land use and cover and its correlation with climatic variables</a></div><div class="wp-workCard_item"><span>Bioscience Journal</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The objective of this study was to evaluate the space-time dynamics of the soil use and occupatio...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The objective of this study was to evaluate the space-time dynamics of the soil use and occupation of the Rio Roncador river basin between 1985 and 2010. The scenes were classified by two methods (partially unsupervised - K-Means and supervised - Maximum likelihood), the Thematic Mapper sensor products on the LANDSAT 5 orbital platform were used for both images of a 25-year time series (1985 to 2000). In order to measure the accuracy of the field the computer application Google Earth was used, in which nine classes (urban area, agricultural area, pasture, exposed soil, native forest, secondary vegetation, mangrove, altitude field and water) were collected. A multiple linear regression was performed, correlating the Normalized Difference Vegetation Index - mean NDVI (dependent variable) with the independent climatic variables (global solar radiation - MJm-2day-1, average air temperature - °C, relative humidity -%, evapotranspiration - mm d-1, and rain - mm). According to the general ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5a10f5fd9cd5e671ea9ee559e66ad7b8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920649,"asset_id":83643148,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920649/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643148"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643148"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643148; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643146"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643146/Fire_outbreaks_in_extreme_climate_years_in_the_State_of_Rio_de_Janeiro_Brazil"><img alt="Research paper thumbnail of Fire outbreaks in extreme climate years in the State of Rio de Janeiro, Brazil" class="work-thumbnail" src="https://attachments.academia-assets.com/88920680/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643146/Fire_outbreaks_in_extreme_climate_years_in_the_State_of_Rio_de_Janeiro_Brazil">Fire outbreaks in extreme climate years in the State of Rio de Janeiro, Brazil</a></div><div class="wp-workCard_item"><span>Land Degradation &amp; Development</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Plant burning in tropical countries is a threat to the environment. It not only damages the local...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Plant burning in tropical countries is a threat to the environment. It not only damages the local ecology but also affects the economy and society. This work aimed to analyze the meteorological systems, soil attributes, and meteorological variables derived from NCEP-DOE Reanalysis 2 for 3 years of atypical climatic events (2005, 2010, and 2015); and relate these factors to the occurrence of fire outbreaks in the State of Rio de Janeiro, Brazil. In 2005, a total of 1,085 fire outbreaks were registered in the State, and most of them occurred during the dry season in the soil classes ultisol (542) and oxisol (139). The highest fire outbreaks concentration was reported in 2010, totaling 1, 702 outbreaks, and Argissolo and Latossolo (747 and 301, respectively) were also the most predominant soil classes. This fact can be explained by the greater predominance of pastures and greater area in km 2 in the State. In 2015, the highest number of fire outbreaks was recorded, again, in Argissolo (418), in addition to Gleissolo (102). The total number of fire outbreaks registered in 2015 was lower than those recorded in 2005 and 2010, totaling 916 fire outbreaks statewide. The correlation shows maximum positive values of zonal wind component (0.71) for 2005. The highest negative values correlations found for 2005, 2010, and 2015 were for the meteorological traits soil moisture and relative air humidity, respectively. The present study is important for highlighting up the vulnerability of the Atlantic Forest ecosystem, given the occurrence of fire outbreaks.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="94c71e4cdd100885981651f633ee2290" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920680,"asset_id":83643146,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920680/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643146"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643146"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643146; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643144"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643144/M%C3%A9todos_de_interpola%C3%A7%C3%A3o_espacial_do_regime_pluviom%C3%A9trico_no_espa%C3%A7o_urbano_de_Catal%C3%A3o_Goi%C3%A1s"><img alt="Research paper thumbnail of Métodos de interpolação espacial do regime pluviométrico no espaço urbano de Catalão, Goiás" class="work-thumbnail" src="https://attachments.academia-assets.com/88920677/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643144/M%C3%A9todos_de_interpola%C3%A7%C3%A3o_espacial_do_regime_pluviom%C3%A9trico_no_espa%C3%A7o_urbano_de_Catal%C3%A3o_Goi%C3%A1s">Métodos de interpolação espacial do regime pluviométrico no espaço urbano de Catalão, Goiás</a></div><div class="wp-workCard_item"><span>Revista Brasileira de Geografia Física</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">O presente estudo visa à realização de um estudo de métodos de interpolação espacial que melhor s...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">O presente estudo visa à realização de um estudo de métodos de interpolação espacial que melhor se ajustem a área urbana de Catalão, Goiás. Foi avaliado o desempenho espacial da chuva coletada por uma rede de pluviômetros modelo "Ville de Paris" através de três modelos: Exponencial, Gaussiano e Esférico no período de 2015 a 2016. Utilizaram-se dados diários de chuva dos pluviômetros e estações automática e convencional do Instituto Nacional de Meteorologia. Para validação foram adotados os seguintes parâmetros: regressão linear e correlação linear (Pearson) (r 2 e r), ajustamento de curvas, seguido do Erro Padrão de Estimativa (EPE), índice de concordância (d) e Viés Médio (VM). O ano de 2015 foi o mais inconsistente pontualmente, onde, o r 2 variou de 93% comparado com a convencional a 64% com a automática. Os erros foram maiores neste ano com VM para convencional de-146 mm e EPE de 21,13 mm, já a automática os erros foram menores com VM de 13,41 mm e EPE de 49,72 mm. Para o ano de 2016 o r 2 foi superior a 95% para ambas estações. O índice d foi igual a 1 para ambas estações. O melhor GDE encontrado foi para o ano de 2016, em que se ajustou um modelo Exponencial. Os piores resultados foram encontrados para o ano de 2015, onde ambos modelos apresentaram Efeito Pepira Puro, o que inviabiliza a utilização de KO. As regiões de maiores e menores adensamentos geográficos influenciaram diretamente nos volumes precipitados em Catalão, Goiás. Palavras Chave: Análise espacial, geoestatística, sinótica. Methods of spatial interpolation of the pluviometric regime in the urban space of Catalão, Goiás A B S T R A C T The present study aims to perform a study of spatial interpolation methods that best fit the urban area of Catalão, Goiás. The spatial performance of the rain collected by a network of "Ville de Paris" rain gauges was evaluated through three models: Exponential, Gaussian and Spherical data from 2015 to 2016. Rainfall data were used for rain gauges and automatic and conventional stations of the National Meteorological Institute. For validation, the following parameters were adopted: linear regression and linear (Pearson) correlation (r 2 and r), curve fitting, followed by Standard Error of Estimation (SEE), concordance index (d) and Medium Bias. The year 2015 was the most inconsistent on time, where r 2 ranged from 93% compared to conventional to 64% with automatic. The errors were larger in this year with conventional MB of-146 mm and EPE of 21.13 mm, while the automatic errors were smaller with MB of 13.41 mm and SEE of 49.72 mm. For the year 2016 r 2 was higher than 95% for both seasons. The index d was equal to 1 for both seasons. The best DSP found was for the year 2016, in which an Exponential model was fitted. The worst results were found for the year 2015, where both models presented Pure Pepira Effect, which made it impossible to use OK. The regions with larger and smaller geographic densities influenced directly the volumes precipitated in Catalão, Goiás.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="676ed802fc3d36f683e4cd7d505d145d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920677,"asset_id":83643144,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920677/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643144"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643144"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643144; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=83643144]").text(description); $(".js-view-count[data-work-id=83643144]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 83643144; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='83643144']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "676ed802fc3d36f683e4cd7d505d145d" } } $('.js-work-strip[data-work-id=83643144]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":83643144,"title":"Métodos de interpolação espacial do regime pluviométrico no espaço urbano de Catalão, Goiás","translated_title":"","metadata":{"publisher":"Revista Brasileira de Geografia Fisica","grobid_abstract":"O presente estudo visa à realização de um estudo de métodos de interpolação espacial que melhor se ajustem a área urbana de Catalão, Goiás. Foi avaliado o desempenho espacial da chuva coletada por uma rede de pluviômetros modelo \"Ville de Paris\" através de três modelos: Exponencial, Gaussiano e Esférico no período de 2015 a 2016. Utilizaram-se dados diários de chuva dos pluviômetros e estações automática e convencional do Instituto Nacional de Meteorologia. Para validação foram adotados os seguintes parâmetros: regressão linear e correlação linear (Pearson) (r 2 e r), ajustamento de curvas, seguido do Erro Padrão de Estimativa (EPE), índice de concordância (d) e Viés Médio (VM). O ano de 2015 foi o mais inconsistente pontualmente, onde, o r 2 variou de 93% comparado com a convencional a 64% com a automática. Os erros foram maiores neste ano com VM para convencional de-146 mm e EPE de 21,13 mm, já a automática os erros foram menores com VM de 13,41 mm e EPE de 49,72 mm. Para o ano de 2016 o r 2 foi superior a 95% para ambas estações. O índice d foi igual a 1 para ambas estações. O melhor GDE encontrado foi para o ano de 2016, em que se ajustou um modelo Exponencial. Os piores resultados foram encontrados para o ano de 2015, onde ambos modelos apresentaram Efeito Pepira Puro, o que inviabiliza a utilização de KO. As regiões de maiores e menores adensamentos geográficos influenciaram diretamente nos volumes precipitados em Catalão, Goiás. Palavras Chave: Análise espacial, geoestatística, sinótica. Methods of spatial interpolation of the pluviometric regime in the urban space of Catalão, Goiás A B S T R A C T The present study aims to perform a study of spatial interpolation methods that best fit the urban area of Catalão, Goiás. The spatial performance of the rain collected by a network of \"Ville de Paris\" rain gauges was evaluated through three models: Exponential, Gaussian and Spherical data from 2015 to 2016. Rainfall data were used for rain gauges and automatic and conventional stations of the National Meteorological Institute. For validation, the following parameters were adopted: linear regression and linear (Pearson) correlation (r 2 and r), curve fitting, followed by Standard Error of Estimation (SEE), concordance index (d) and Medium Bias. The year 2015 was the most inconsistent on time, where r 2 ranged from 93% compared to conventional to 64% with automatic. The errors were larger in this year with conventional MB of-146 mm and EPE of 21.13 mm, while the automatic errors were smaller with MB of 13.41 mm and SEE of 49.72 mm. For the year 2016 r 2 was higher than 95% for both seasons. The index d was equal to 1 for both seasons. The best DSP found was for the year 2016, in which an Exponential model was fitted. The worst results were found for the year 2015, where both models presented Pure Pepira Effect, which made it impossible to use OK. 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Foi avaliado o desempenho espacial da chuva coletada por uma rede de pluviômetros modelo \"Ville de Paris\" através de três modelos: Exponencial, Gaussiano e Esférico no período de 2015 a 2016. Utilizaram-se dados diários de chuva dos pluviômetros e estações automática e convencional do Instituto Nacional de Meteorologia. Para validação foram adotados os seguintes parâmetros: regressão linear e correlação linear (Pearson) (r 2 e r), ajustamento de curvas, seguido do Erro Padrão de Estimativa (EPE), índice de concordância (d) e Viés Médio (VM). O ano de 2015 foi o mais inconsistente pontualmente, onde, o r 2 variou de 93% comparado com a convencional a 64% com a automática. Os erros foram maiores neste ano com VM para convencional de-146 mm e EPE de 21,13 mm, já a automática os erros foram menores com VM de 13,41 mm e EPE de 49,72 mm. Para o ano de 2016 o r 2 foi superior a 95% para ambas estações. O índice d foi igual a 1 para ambas estações. O melhor GDE encontrado foi para o ano de 2016, em que se ajustou um modelo Exponencial. Os piores resultados foram encontrados para o ano de 2015, onde ambos modelos apresentaram Efeito Pepira Puro, o que inviabiliza a utilização de KO. As regiões de maiores e menores adensamentos geográficos influenciaram diretamente nos volumes precipitados em Catalão, Goiás. Palavras Chave: Análise espacial, geoestatística, sinótica. Methods of spatial interpolation of the pluviometric regime in the urban space of Catalão, Goiás A B S T R A C T The present study aims to perform a study of spatial interpolation methods that best fit the urban area of Catalão, Goiás. The spatial performance of the rain collected by a network of \"Ville de Paris\" rain gauges was evaluated through three models: Exponential, Gaussian and Spherical data from 2015 to 2016. Rainfall data were used for rain gauges and automatic and conventional stations of the National Meteorological Institute. For validation, the following parameters were adopted: linear regression and linear (Pearson) correlation (r 2 and r), curve fitting, followed by Standard Error of Estimation (SEE), concordance index (d) and Medium Bias. The year 2015 was the most inconsistent on time, where r 2 ranged from 93% compared to conventional to 64% with automatic. The errors were larger in this year with conventional MB of-146 mm and EPE of 21.13 mm, while the automatic errors were smaller with MB of 13.41 mm and SEE of 49.72 mm. For the year 2016 r 2 was higher than 95% for both seasons. The index d was equal to 1 for both seasons. The best DSP found was for the year 2016, in which an Exponential model was fitted. The worst results were found for the year 2015, where both models presented Pure Pepira Effect, which made it impossible to use OK. The regions with larger and smaller geographic densities influenced directly the volumes precipitated in Catalão, Goiás.","owner":{"id":5448607,"first_name":"Rafael","middle_initials":null,"last_name":"Coll Delgado","page_name":"RafaelCollDelgado","domain_name":"independent","created_at":"2013-09-07T23:11:01.769-07:00","display_name":"Rafael Coll Delgado","url":"https://independent.academia.edu/RafaelCollDelgado"},"attachments":[{"id":88920677,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88920677/thumbnails/1.jpg","file_name":"29601.pdf","download_url":"https://www.academia.edu/attachments/88920677/download_file","bulk_download_file_name":"Metodos_de_interpolacao_espacial_do_regi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88920677/29601-libre.pdf?1658667580=\u0026response-content-disposition=attachment%3B+filename%3DMetodos_de_interpolacao_espacial_do_regi.pdf\u0026Expires=1738805065\u0026Signature=Wj0mr5ap42Mxa77BjOUv1vc9K5hOZtacKOJzYqc9JQJgnds37OUOcbbP-ESf5x7-Tw99H7vgD~cQlwTQsNS541PN3NOKcjdzr02SKaKkfXH43B5eDz89xI46PGNIarPNz5r5ALbq9rHDOGYRn~ua8fwLD8OKLJR4FTPteKs8-tp1A79KgC~9788LeKpvjeBdmMWP4oO92Q2XmqmvuT~0TtVgY~GolgUC9yhuKYesGEEMMZsSZ5uCiHHJAqdvVgj~HRqc9iDbqn0Yf7azyD3aj6ottllRdEmB8MnpGvSMi8cC0PetNr65Cp0db8cTMbiti7PXwqc-CvqAOVZPU6hRhg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643141"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643141/Orbital_and_Surface_Evapotranspiration_Compared_to_FAO_56_Standard_in_State_of_Acre"><img alt="Research paper thumbnail of Orbital and Surface Evapotranspiration Compared to FAO-56 Standard in State of Acre" class="work-thumbnail" src="https://attachments.academia-assets.com/88920644/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643141/Orbital_and_Surface_Evapotranspiration_Compared_to_FAO_56_Standard_in_State_of_Acre">Orbital and Surface Evapotranspiration Compared to FAO-56 Standard in State of Acre</a></div><div class="wp-workCard_item"><span>IRRIGA</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ORBITAL AND SURFACE EVAPOTRANSPIRATION COMPARED TO FAO-56 STANDARD IN STATE OF ACRE RAFAEL COLL ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ORBITAL AND SURFACE EVAPOTRANSPIRATION COMPARED TO FAO-56 STANDARD IN STATE OF ACRE RAFAEL COLL DELGADO1; LEONARDO PAULA DE SOUZA2; MARCOS GERVASIO PEREIRA3; CATHERINE TORRES DE ALMEIDA4 E RAFAEL DE ÁVILA RODRIGUES5 1Universidade Federal Rural do Rio de Janeiro, Professor Doutor do Instituto de Florestas, Departamento de Ciências Ambientais, UFRRJ, CEP 23890-000, Seropédica, RJ, Brasil, <a href="mailto:rafaelcolldelgado32@gmail.com" rel="nofollow">rafaelcolldelgado32@gmail.com</a>; 2Universidade Federal do Acre, Professor Doutor do Centro de Ciências Biológicas e da Natureza, UFAC, CEP 69.920-900, Rio Branco, AC, Brasil, <a href="mailto:leonardo.acre@gmail.com" rel="nofollow">leonardo.acre@gmail.com</a>; 3Universidade Federal Rural do Rio de Janeiro, Professor Doutor do Departamento de Solos, UFRRJ, CEP 23890-000, Seropédica, RJ, Brasil, <a href="mailto:mgervasiopereira01@gmail.com" rel="nofollow">mgervasiopereira01@gmail.com</a>;4Instituto Nacional de Pesquisas Espaciais, Doutoranda em Sensoriamento Remoto, INPE, CEP 65250-000, São José dos Campos, SP, Brasil, <a href="mailto:cathe.torres@gmail.com" rel="nofollow">cathe.torres@gmail.com</a>;5Universidade Federal de Goiás, Professor Doutor da Unidade Acadêmica Especial, In...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="2ffcf585c5a6009ecb1b676fe4eadfcc" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920644,"asset_id":83643141,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920644/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643141"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643141"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643141; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643139"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643139/Influ%C3%AAncia_das_vari%C3%A1veis_clim%C3%A1ticas_na_produ%C3%A7%C3%A3o_florestal_via_modelo_3_PG_no_Norte_de_Minas_Gerais"><img alt="Research paper thumbnail of Influência das variáveis climáticas na produção florestal via modelo 3-PG no Norte de Minas Gerais" class="work-thumbnail" src="https://attachments.academia-assets.com/88920678/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643139/Influ%C3%AAncia_das_vari%C3%A1veis_clim%C3%A1ticas_na_produ%C3%A7%C3%A3o_florestal_via_modelo_3_PG_no_Norte_de_Minas_Gerais">Influência das variáveis climáticas na produção florestal via modelo 3-PG no Norte de Minas Gerais</a></div><div class="wp-workCard_item"><span>Scientia Forestalis</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Este trabalho teve por objetivo avaliar a influência das variáveis climáticas sobre a produção de...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Este trabalho teve por objetivo avaliar a influência das variáveis climáticas sobre a produção de plantios de Eucalyptus spp. na região Norte de Minas Gerais utilizando o modelo ecofisiológico de crescimento 3-PG (Physiological Principles in Predicting Growth). O 3-PG foi executado com base em médias históricas e mensais obtidas pelo INMET (Instituto Nacional de Meteorologia) e satélite TRMM (Tropical Rainfall Measuring Mission). A correlação linear (Pearson) (r), coeficiente de determinação (R²), erro padrão da estimativa (S yx), eficiência do modelo (EF) e raiz do erro quadrático médio (RMSE) foram utilizados para avaliar as estimativas realizadas pelo modelo 3-PG. As variáveis dendrométricas, diâmetro médio a altura do peito (DAP-cm), altura total (m), volume (m³.ha-1) e incremento médio anual (IMA-m³.ha-1), estimadas pelo 3-PG, com média histórica, apresentaram alta variação, com tendência de subestimativa das variáveis. As estatísticas r e R² apresentaram valores satisfatórios (> 0,60). Porém observou-se que o erro das estimativas tende a ser maior quando se utiliza média histórica. O modelo teve redução da EF de 0,58 para 0,50 para o IMA. Durante janeiro de 2005 a dezembro de 2011 não houve redução da produção, caso as variáveis climáticas tivessem comportamento semelhante às médias históricas. Dentre os moduladores ambientais, observou-se que o fAS teve maior restrição sobre o crescimento das árvores nessa região, seguido do modulador fDPV, o que pode estar relacionado às altas temperaturas encontradas na região. A utilização de normais climatológicas mostrou-se adequada para analisar o potencial produtivo de novas áreas para produção de Eucalyptus spp. na região, no entanto deve-se atentar para possíveis variações climáticas que podem reduzir a produção.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ea3050756fddd1cee0d3657859318d0e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920678,"asset_id":83643139,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920678/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643139"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643139"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643139; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "ea3050756fddd1cee0d3657859318d0e" } } $('.js-work-strip[data-work-id=83643139]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":83643139,"title":"Influência das variáveis climáticas na produção florestal via modelo 3-PG no Norte de Minas Gerais","internal_url":"https://www.academia.edu/83643139/Influ%C3%AAncia_das_vari%C3%A1veis_clim%C3%A1ticas_na_produ%C3%A7%C3%A3o_florestal_via_modelo_3_PG_no_Norte_de_Minas_Gerais","owner_id":5448607,"coauthors_can_edit":true,"owner":{"id":5448607,"first_name":"Rafael","middle_initials":null,"last_name":"Coll Delgado","page_name":"RafaelCollDelgado","domain_name":"independent","created_at":"2013-09-07T23:11:01.769-07:00","display_name":"Rafael Coll Delgado","url":"https://independent.academia.edu/RafaelCollDelgado"},"attachments":[{"id":88920678,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88920678/thumbnails/1.jpg","file_name":"cap15.pdf","download_url":"https://www.academia.edu/attachments/88920678/download_file","bulk_download_file_name":"Influencia_das_variaveis_climaticas_na_p.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88920678/cap15-libre.pdf?1658667593=\u0026response-content-disposition=attachment%3B+filename%3DInfluencia_das_variaveis_climaticas_na_p.pdf\u0026Expires=1740153645\u0026Signature=LPf7rBe9wiWaVFIv5KPdl9lOzKOnGaELrZgAIQibmcQGV~4U~NLtZFATRiW-n~cbkyYG~zru2HJBLyNfDjOzZPhe~46NfgAegpjvoM3k3FJj84NEe6bj2Y1slxEa0VURzYk0ymGrSLT6WpFWop7QjEDbsBihlTZ4vIBleoQZC2KQEohso2fUEKQx5y90tKqQ6xsBjjeHWgGnelBP2HUp2WcEny02V6423FbXkzTrIT-u~WODlEwRibd6ags4-ItA6GmQ-3bYC5Fz~aJpgUamgzx0oTu~i2XUEBoQwvDUhLcUsoMvXRSnq9J9zzvNkFX8HEagDyr3wTFIg8J9GKJmhA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643138"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643138/Probable_monthly_rainfall_associated_with_distinct_biomes_of_Mato_Grosso_do_Sul_state"><img alt="Research paper thumbnail of Probable monthly rainfall associated with distinct biomes of Mato Grosso do Sul state" class="work-thumbnail" src="https://attachments.academia-assets.com/88920672/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643138/Probable_monthly_rainfall_associated_with_distinct_biomes_of_Mato_Grosso_do_Sul_state">Probable monthly rainfall associated with distinct biomes of Mato Grosso do Sul state</a></div><div class="wp-workCard_item"><span>Bioscience Journal</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The aim of this study was to determine the probable monthly rainfall for the state of Mato Grosso...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The aim of this study was to determine the probable monthly rainfall for the state of Mato Grosso do Sul, considering the level of 75% probability, and study the spatial distribution associated with its different biomes. The rainfall data of 32 stations (sites) in the state of Mato Grosso do Sul were collected in the period 1954-2013. In each of the 384 series, the average monthly rainfall was calculated, for at least 30 years of observation. The Kolmogorov-Smirnov adhesion test was applied to the rainfall time series to check the fit of the data to a normal distribution. The likely fallout was estimated at 75% probability, using the normal probability distribution and, subsequently, it was adopted the method of Ordinary Kriging interpolation mathematics to spatial data. Based on the likely monthly precipitation estimated, the State of Mato Grosso do Sul possess three distinct periods, with the precipitation associated with different biomes: the rainy season (between the months November to March, where increased precipitation occurred in the Savanna biome), dry season (between the months from June to August, when the highest rainfall occurred in the Atlantic Forest) and transition period (April and May and September and October).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="044e77893e4aed0f21b336104c918fa3" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920672,"asset_id":83643138,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920672/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643138"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643138"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643138; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643137"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643137/Padr%C3%B5es_da_Regenera%C3%A7%C3%A3o_Natural_na_Regi%C3%A3o_de_Mar_de_Morros_Pinheiral_RJ"><img alt="Research paper thumbnail of Padrões da Regeneração Natural na Região de Mar de Morros, Pinheiral-RJ" class="work-thumbnail" src="https://attachments.academia-assets.com/88920643/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643137/Padr%C3%B5es_da_Regenera%C3%A7%C3%A3o_Natural_na_Regi%C3%A3o_de_Mar_de_Morros_Pinheiral_RJ">Padrões da Regeneração Natural na Região de Mar de Morros, Pinheiral-RJ</a></div><div class="wp-workCard_item"><span>Floresta e Ambiente</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">RESUMO A Floresta Atlântica é o ecossistema brasileiro submetido a processos de degradação ambien...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">RESUMO A Floresta Atlântica é o ecossistema brasileiro submetido a processos de degradação ambiental mais acentuado, mesmo assim, em alguns ambientes o processo de regeneração natural pode ser observado. O objetivo deste estudo foi avaliar o padrão da regeneração natural dos fragmentos florestais do Médio Vale Paraíba do Sul quanto aos fatores topográficos e identificar áreas potenciais ao processo de regeneração. O mapeamento dos fragmentos florestais foi obtido a partir de imagens do sensor Thematic Mapper (1994 e 2011). Para os fatores topográficos foram utilizadas as cartas topográficas do IBGE. O processo de regeneração natural na área de estudo é influenciado pelos fatores topográficos e acontece principalmente nos ambientes com superfície plana, declividade variando de ondulada a forte ondulada, orientação da vertente variando de SE (sudeste) a SW (sudoeste) e radiação solar global entre 150000 e 1700000 Watts. Na sub-bacia do ribeirão Cachimbal, os ambientes favoráveis à reg...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0555c87329134692bcb29ca8d226ba02" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920643,"asset_id":83643137,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920643/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643137"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643137"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643137; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643136"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643136/Potential_Areas_for_the_Formation_of_Ecological_Corridors_Between_Remnants_of_Atlantic_Forest"><img alt="Research paper thumbnail of Potential Areas for the Formation of Ecological Corridors Between Remnants of Atlantic Forest" class="work-thumbnail" src="https://attachments.academia-assets.com/88920673/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643136/Potential_Areas_for_the_Formation_of_Ecological_Corridors_Between_Remnants_of_Atlantic_Forest">Potential Areas for the Formation of Ecological Corridors Between Remnants of Atlantic Forest</a></div><div class="wp-workCard_item"><span>Revista Árvore</span><span>, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In Brazil, the remaining areas of Atlantic Forest are intensely fragmented. The connection of for...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In Brazil, the remaining areas of Atlantic Forest are intensely fragmented. The connection of forest fragments through ecological corridors is an important step in biodiversity conservation. Certain areas are more resilient, and in those areas, natural forest regeneration, for example, can be encouraged. The aim of this study was to identify areas of greater resilience in order to support the connection of Atlantic Forest fragments with ecological corridors. Forest fragments in the municipality of Paraíba do Sul, in the state of Rio de Janeiro, were mapped using the supervised maximum likelihood classification of an Operational Land Imager (OLI)/Landsat-8 sensor image. Next, we analyzed the influence of terrain attributes (aspect, incident solar radiation, slope, and curvature profile) on natural regeneration. The areas with the greatest potential to achieve natural regeneration and to form ecological corridors were indicated through fuzzy membership functions. Within Paraíba do Sul...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="afa6528920e140aa12dfd267e5d0c599" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920673,"asset_id":83643136,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920673/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643136"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643136"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643136; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "afa6528920e140aa12dfd267e5d0c599" } } $('.js-work-strip[data-work-id=83643136]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":83643136,"title":"Potential Areas for the Formation of Ecological Corridors Between Remnants of Atlantic Forest","internal_url":"https://www.academia.edu/83643136/Potential_Areas_for_the_Formation_of_Ecological_Corridors_Between_Remnants_of_Atlantic_Forest","owner_id":5448607,"coauthors_can_edit":true,"owner":{"id":5448607,"first_name":"Rafael","middle_initials":null,"last_name":"Coll Delgado","page_name":"RafaelCollDelgado","domain_name":"independent","created_at":"2013-09-07T23:11:01.769-07:00","display_name":"Rafael Coll Delgado","url":"https://independent.academia.edu/RafaelCollDelgado"},"attachments":[{"id":88920673,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88920673/thumbnails/1.jpg","file_name":"dfa4d60ffc2aa49bc2164ec49136c90f1acf.pdf","download_url":"https://www.academia.edu/attachments/88920673/download_file","bulk_download_file_name":"Potential_Areas_for_the_Formation_of_Eco.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88920673/dfa4d60ffc2aa49bc2164ec49136c90f1acf-libre.pdf?1658667608=\u0026response-content-disposition=attachment%3B+filename%3DPotential_Areas_for_the_Formation_of_Eco.pdf\u0026Expires=1740153645\u0026Signature=IulbATEybBiEnYrwUbMMAj-S-MscMKThRSe6zUVVQq~GB73NVvrjgOyBKpZMZryJghmc4YPJKOxp64WEkqGL1tHOJzUNWGVU2MbGWk6T080snbzJepPXgiYGd0OJYp~SyZ11tzMSCboYleH86~xmsL5bfcfW6olgsMpM-M5YIcxbr4tFGuiIJ~Ifvkkv9ivbdzSWXxon7dklz8zTELRTg05xrHDexAevQd8fG3pEL7qNFfN-BvaFcr2~wlqHh2qk7TC20cwBJl8wtXn-Zt06u7WER9xgJFGcUc7-f8K5QW2261JshTALUfl450VVHCKFdWWVn6xZ6g9Vx8weWzpLig__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643135"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643135/Determina%C3%A7%C3%A3o_Da_Temperatura_Da_Superf%C3%ADcie_Na_%C3%81rea_Do_Projeto_De_Assentamento_Dirigido_Em_Santa_Luzia_Cruzeiro_Do_Sul_Ac_Brasil"><img alt="Research paper thumbnail of Determinação Da Temperatura Da Superfície Na Área Do Projeto De Assentamento Dirigido Em Santa Luzia, Cruzeiro Do Sul, Ac, Brasil" class="work-thumbnail" src="https://attachments.academia-assets.com/88920671/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643135/Determina%C3%A7%C3%A3o_Da_Temperatura_Da_Superf%C3%ADcie_Na_%C3%81rea_Do_Projeto_De_Assentamento_Dirigido_Em_Santa_Luzia_Cruzeiro_Do_Sul_Ac_Brasil">Determinação Da Temperatura Da Superfície Na Área Do Projeto De Assentamento Dirigido Em Santa Luzia, Cruzeiro Do Sul, Ac, Brasil</a></div><div class="wp-workCard_item"><span>REVISTA GEOGRÁFICA ACADÊMICA</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Este trabalho avaliou o comportamento da floresta e demais classes espectrais do Projeto de Assen...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Este trabalho avaliou o comportamento da floresta e demais classes espectrais do Projeto de Assentamento Dirigido Santa Luzia, utilizando os recursos do Geoprocessamento e Sensoriamento Remoto. O período avaliado estende-se entre o ano de 2005 a 2010, e procurou avaliar o comportamento da evolução espacial de áreas como a floresta, pastagens e áreas utilizadas para agricultura, assim como demais benfeitorias realizadas no perímetro do assentamento. Neste sentido, os objetivos gerais deste trabalho foram: caracterizar a contração ou a expansão de classes de floresta, pastagens, regeneração da floresta e áreas alagadas, no PAD Santa Luzia, AC. Os resultados encontrados mostraram um significativo aumento do índice de regeneração da floresta e conversão de áreas de pastagens e cultivos em capoeira, considerando que esta tipologia florestal é essencial para o processo de transição de áreas desflorestadas em sua reestruturação à condição de floresta novamente. São ainda apresentados dados que demonstraram a elevação dos valores referentes a corpos d'água, embora as imagens tenham sido adquiridas em períodos de estiagem (período seco amazônico) na região. Os dados obtidos pelo algoritmo de Mahalanobis, evidenciaram um significativo aumento destes recursos na superfície estudada. Os dados apresentaram o comportamento de leve decréscimo para a floresta durante o período avaliado.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3df4d25da4189f7f172125ed9c92ae2a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920671,"asset_id":83643135,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920671/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643135"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643135"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643135; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643134"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643134/Din%C3%A2mica_Espacial_e_Temporal_Do_Uso_Da_Terra_No_Munic%C3%ADpio_De_Serop%C3%A9dica_Rio_De_Janeiro_Brasil"><img alt="Research paper thumbnail of Dinâmica Espacial e Temporal Do Uso Da Terra No Município De Seropédica, Rio De Janeiro, Brasil" class="work-thumbnail" src="https://attachments.academia-assets.com/88920676/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643134/Din%C3%A2mica_Espacial_e_Temporal_Do_Uso_Da_Terra_No_Munic%C3%ADpio_De_Serop%C3%A9dica_Rio_De_Janeiro_Brasil">Dinâmica Espacial e Temporal Do Uso Da Terra No Município De Seropédica, Rio De Janeiro, Brasil</a></div><div class="wp-workCard_item"><span>REVISTA GEOGRÁFICA ACADÊMICA</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Foram avaliados a dinâmica espaço-temporal do uso e cobertura da terra entre os anos de 1990 e 20...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Foram avaliados a dinâmica espaço-temporal do uso e cobertura da terra entre os anos de 1990 e 2010 no município de Seropédica, Região Metropolitana do Rio de Janeiro (RMRJ). Foram utilizadas imagens TM (Thematic Mapper) Landsat 5 e os métodos de classificações supervisionadas baseado nos algoritmos da Mínima Distância (MINIDIST), Máxima Verossimilhança (MAXVER) e distância de Mahalanobis (MAHAL). Os resultados obtidos de 1990 mostraram que a classificação MINIDIST superestimou as classes de áreas de água (5,02%), mata (8,94%), solo exposto (16,05%) e pastagem (59,33%), respectivamente. O MINIDIST em 1990 subestimou a classe área urbana (10,66%) comparado com os demais métodos. As classes pastagem (59%), mata (20,68%) e água (2,25%) foram superestimadas pelo MINIDIST, enquanto que para as classes espectrais de solo exposto (0,92%), área urbana (11,54%) e eucalipto (5,81%) ocorreram subestimativa comparado aos métodos MAHAL e MAXVER em 2010. O viés médio mostrou que os valores de área para ambos os classificadores foram superestimados em relação aos dados do projeto SOS Mata Atlântica. Os índices de vegetação mostraram-se compatíveis com a literatura, às exceções foram às discrepâncias na estimativa de área atribuídas à transição de períodos secos e chuvosos que ocorreram antes da passagem do satélite sobre a região. Ressalta-se que todos os classificadores utilizados neste estudo são passíveis de erro, ou seja, os classificadores foram desenvolvidos na tentativa de aperfeiçoarem os trabalhos de interpretação visual em Seropédica.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="54422fb629941f93a1d6fa5d251cf70b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920676,"asset_id":83643134,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920676/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643134"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643134"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643134; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643131"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643131/Avalia%C3%A7%C3%A3o_da_Din%C3%A2mica_da_Vegeta%C3%A7%C3%A3o_em_%C3%81reas_Desmatadas_na_Floresta_Amaz%C3%B4nica"><img alt="Research paper thumbnail of Avaliação da Dinâmica da Vegetação em Áreas Desmatadas na Floresta Amazônica" class="work-thumbnail" src="https://attachments.academia-assets.com/88920636/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643131/Avalia%C3%A7%C3%A3o_da_Din%C3%A2mica_da_Vegeta%C3%A7%C3%A3o_em_%C3%81reas_Desmatadas_na_Floresta_Amaz%C3%B4nica">Avaliação da Dinâmica da Vegetação em Áreas Desmatadas na Floresta Amazônica</a></div><div class="wp-workCard_item"><span>Floresta e Ambiente</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">RESUMO No presente estudo avaliou-se a dinâmica da vegetação de florestas tropicais no período de...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">RESUMO No presente estudo avaliou-se a dinâmica da vegetação de florestas tropicais no período de 2000 a 2010 em áreas desmatadas, utilizando-se os produtos MOD44B, 3B43 e SRTM. Através deles analisou-se, temporal e espacialmente, a ocorrência de regeneração em áreas de desmatamento mapeadas pelo sistema PRODES (Projeto de Estimativa de Desflorestamento da Amazônia) do INPE (Instituto Nacional de Pesquisas Espaciais). Os resultados encontrados mostraram que há regeneração nas áreas desmatadas e que, ao longo do tempo, a densidade da vegetação tende a aumentar. As áreas regeneradas apareceram majoritariamente em áreas mais baixas, seguindo a tendência do desmatamento. O MOD44B mostrou-se eficiente no estudo temporal e espacial da vegetação, indicando haver regeneração ao longo do tempo. O período de maior precipitação coincidiu com o período em que os pixels de menor densidade migraram para classes de maior densidade, sugerindo uma possível relação entre os índices de precipitação e ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e65209e95b24bb99b49670de33ab7b56" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920636,"asset_id":83643131,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920636/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643131"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643131"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643131; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e65209e95b24bb99b49670de33ab7b56" } } $('.js-work-strip[data-work-id=83643131]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":83643131,"title":"Avaliação da Dinâmica da Vegetação em Áreas Desmatadas na Floresta Amazônica","internal_url":"https://www.academia.edu/83643131/Avalia%C3%A7%C3%A3o_da_Din%C3%A2mica_da_Vegeta%C3%A7%C3%A3o_em_%C3%81reas_Desmatadas_na_Floresta_Amaz%C3%B4nica","owner_id":5448607,"coauthors_can_edit":true,"owner":{"id":5448607,"first_name":"Rafael","middle_initials":null,"last_name":"Coll Delgado","page_name":"RafaelCollDelgado","domain_name":"independent","created_at":"2013-09-07T23:11:01.769-07:00","display_name":"Rafael Coll Delgado","url":"https://independent.academia.edu/RafaelCollDelgado"},"attachments":[{"id":88920636,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88920636/thumbnails/1.jpg","file_name":"2179-8087-floram-22-4-512.pdf","download_url":"https://www.academia.edu/attachments/88920636/download_file","bulk_download_file_name":"Avaliacao_da_Dinamica_da_Vegetacao_em_Ar.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88920636/2179-8087-floram-22-4-512-libre.pdf?1658667599=\u0026response-content-disposition=attachment%3B+filename%3DAvaliacao_da_Dinamica_da_Vegetacao_em_Ar.pdf\u0026Expires=1740153645\u0026Signature=fsruIsyDL6p9y9FjrU37qoa1SyVXrbaGvYjkBFeha145N19~8ydfebxQQ~lY8SNLh1HcXY-2kLsSAMPFa6M5p8dCaFBT7tMyco78FqO0SgXBH1CdIblHzepTbbqluljAZYcj4G9BnapMIRJqsJXdc~-StJxrT7AgsocB3Gl1cTV66yWw~JLsB71wVycpzpomCd0lC2ApBCjn3xj6DMf6GztLp9yUbUg5Zx41y0EvxAVxCKLbd8Ci5DjZlaUtcTkahFxQev6jp-Fm~FlzfhBJlEqlLkgwPwXP0DfjjBaD4luxpzGdXjXTawnuMd00r9ej~t~HqioT0hkcdskgljyo5A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643129"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643129/Space_time_variability_of_vegetation_by_orbital_platforms_in_the_western_Amazon"><img alt="Research paper thumbnail of Space-time variability of vegetation by orbital platforms in the western Amazon" class="work-thumbnail" src="https://attachments.academia-assets.com/88920670/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643129/Space_time_variability_of_vegetation_by_orbital_platforms_in_the_western_Amazon">Space-time variability of vegetation by orbital platforms in the western Amazon</a></div><div class="wp-workCard_item"><span>Bioscience Journal</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Percentage maps (%) of forest cover derived from the annual product MOD44B were compared with the...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Percentage maps (%) of forest cover derived from the annual product MOD44B were compared with the annual deforestation data from PRODES. PRODES data were used to calibrate the MOD44B (sub-pixel-level representation of surface vegetation cover estimates globally) annual images with the aim of evaluating the annual characterization of the deforestation dynamics and forest regeneration in the municipality of Bujari-Acre, Brazil, from 2000 to 2010. The percentage rates from MODIS were divided into forest cover categories (forested and deforested areas) by means of the Mann-Kendall (MK) non-parametric test used in each category. The results were satisfactory when compared with PRODES. The analysis of MOD44B product in the municipality, during the years 2001, 2004 and 2009, shows that there was an increase of the pixel frequency in the "Extremely High" category, which indicates regeneration of the area in the municipality of Bujari. Validations in situ should be done primarily to the regenerate areas.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="2bb7f1a29cbde79f7b37f905f5c631f9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920670,"asset_id":83643129,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920670/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643129"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643129"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643129; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643127"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643127/%C3%8Dndice_de_%C3%81rea_Foliar_de_Eucalyptus_Estimado_por_%C3%8Dndices_de_Vegeta%C3%A7%C3%A3o_Utilizando_Imagens_TM_Landsat_5"><img alt="Research paper thumbnail of Índice de Área Foliar de Eucalyptus Estimado por Índices de Vegetação Utilizando Imagens TM - Landsat 5" class="work-thumbnail" src="https://attachments.academia-assets.com/88920632/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643127/%C3%8Dndice_de_%C3%81rea_Foliar_de_Eucalyptus_Estimado_por_%C3%8Dndices_de_Vegeta%C3%A7%C3%A3o_Utilizando_Imagens_TM_Landsat_5">Índice de Área Foliar de Eucalyptus Estimado por Índices de Vegetação Utilizando Imagens TM - Landsat 5</a></div><div class="wp-workCard_item"><span>Floresta e Ambiente</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">RESUMOEste trabalho teve como objetivo ajustar modelos de regressão entre o índice de área foliar...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">RESUMOEste trabalho teve como objetivo ajustar modelos de regressão entre o índice de área foliar (IAF) de plantios de Eucalyptusgrandis x urophylla e índices de vegetação (IVs) de imagens TM - Landsat 5. O estudo foi realizado em plantios com diferentes idades localizados na porção mineira da bacia hidrográfica do rio Doce, entre os anos de 2008 e 2011. O IAF foi medido em campo, de forma não destrutiva, com o equipamento LAI-2000. Os IVs utilizados foram o Normalized Difference Vegetation Index (NDVI), o Soil Adjusted Vegetation Index (SAVI) e o Simple Ratio (SR). O melhor modelo foi ajustado a partir do NDVI, com coeficiente de determinação de 0,73 e erro quadrático médio da raiz de 0,37 m² m–2(19%). Pode-se concluir que os valores de IAF podem ser estimados pelos modelos de regressão ajustados a partir dos IVs derivados do TM - Landsat.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="90023d553b95ac220ba45aeff297e0dd" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920632,"asset_id":83643127,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920632/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643127"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643127"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643127; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="15026796" id="papers"><div class="js-work-strip profile--work_container" data-work-id="83643158"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643158/The_New_Transamazonian_Highway_BR_319_and_Its_Current_Environmental_Degradation"><img alt="Research paper thumbnail of The “New Transamazonian Highway”: BR-319 and Its Current Environmental Degradation" class="work-thumbnail" src="https://attachments.academia-assets.com/88920655/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643158/The_New_Transamazonian_Highway_BR_319_and_Its_Current_Environmental_Degradation">The “New Transamazonian Highway”: BR-319 and Its Current Environmental Degradation</a></div><div class="wp-workCard_item"><span>Sustainability</span><span>, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The Brazilian government intends to complete the paving of the BR-319 highway, which connects Por...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The Brazilian government intends to complete the paving of the BR-319 highway, which connects Porto Velho in the deforestation arc region with Manaus in the middle of the Amazon Forest. This paving is being planned despite environmental legislation, and there is concern that its effectiveness will cause additional deforestation, threatening large portions of forest, conservation units (CUs), and indigenous lands (ILs) in the surrounding areas. In this study, we evaluated environmental degradation along the BR-319 highway from 2008 to 2020 and verified whether highway maintenance has contributed to deforestation. For this purpose, we created a 20 km buffer adjacent to the BR-319 highway and evaluated variables extracted from remote sensing information between 2008 and 2020. Fire foci, burned areas, and rainfall data were used to calculate a drought index using statistical tests for a time series. Furthermore, these were related to data on deforestation, CUs, and ILs using principal c...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c6fd058cd768cf24ce6a6a3af2a8309d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920655,"asset_id":83643158,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920655/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643158"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643158"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643158; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643157"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643157/Mapping_of_Agricultural_Areas_with_Support_Vector_Machine_in_the_Northwest_of_Minas_Gerais_Brazil"><img alt="Research paper thumbnail of Mapping of Agricultural Areas with Support Vector Machine in the Northwest of Minas Gerais, Brazil" class="work-thumbnail" src="https://attachments.academia-assets.com/88920686/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643157/Mapping_of_Agricultural_Areas_with_Support_Vector_Machine_in_the_Northwest_of_Minas_Gerais_Brazil">Mapping of Agricultural Areas with Support Vector Machine in the Northwest of Minas Gerais, Brazil</a></div><div class="wp-workCard_item"><span>Anuário do Instituto de Geociências - UFRJ</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A agricultura é um dos setores que mais se destaca na economia do Brasil, sendo necessário muitas...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A agricultura é um dos setores que mais se destaca na economia do Brasil, sendo necessário muitas vezes o emprego do sensoriamento remoto, para identificação da expansão das áreas agrícolas e estimativas da sua produção. Esse trabalho tem por objetivo mapear as áreas agrícolas do noroeste de Minas Gerais por meio de máquina de vetor de suporte e comparar os resultados obtidos com o censo estatístico do Instituto Brasileiro de Geografia e Estatística. Para identificação das áreas agrícolas foi utilizado o algoritmo Service Vector Machine e imagens dos satélites e sensores Landsat 8 / OLI e Terra / MODIS. As amostras de treinamento do algoritmo foram obtidas por meio de imagem de alta resolução espacial, disponível no programa Google Earth Pro, nas classes rios, floresta, agricultura, pastagem e silvicultura. O mapeamento utilizando imagem do sensor OLI apresentou melhor Acurácia Global (0,81) e Kappa (0,66). A classificação com imagem OLI e MODIS apresentaram maior precisão na classe agricultura quando comparada as demais classes, apresentando confusão com pastagem, em decorrência da alta fitomassa da pastagem na época de aquisição das imagens (verão). O cálculo das áreas agrícolas demonstra superestimativa do Service Vector Machine (SVM) na classificação das imagens OLI e MODIS, com forte relação dos dados MODIS com o censo do IBGE (R²=0,83). Apenas municípios com áreas agrícolas superiores a 50.000 ha apresentaram menor erro na estimativa das áreas agrícolas. A aplicação do algoritmo mostra-se potencial para mapeamento da agricultura por meio de imagens dos sensores MODIS e OLI, porém deve-se avaliar a época de aquisição das imagens orbitais e variações nos parâmetros do algoritmo para melhorar a acurácia da classificação.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e0f841cd53a592de828d695be05391a9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920686,"asset_id":83643157,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920686/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643157"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643157"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643157; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=83643157]").text(description); $(".js-view-count[data-work-id=83643157]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 83643157; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='83643157']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643156"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643156/Physical_attributes_of_the_river_basin_of_Roncador_river_associated_to_the_landscape_change_in_the_municipality_of_Mag%C3%A9_Rio_de_Janeiro_Brazil"><img alt="Research paper thumbnail of Physical attributes of the river basin of Roncador river associated to the landscape change in the municipality of Magé, Rio de Janeiro-Brazil" class="work-thumbnail" src="https://attachments.academia-assets.com/88920684/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643156/Physical_attributes_of_the_river_basin_of_Roncador_river_associated_to_the_landscape_change_in_the_municipality_of_Mag%C3%A9_Rio_de_Janeiro_Brazil">Physical attributes of the river basin of Roncador river associated to the landscape change in the municipality of Magé, Rio de Janeiro-Brazil</a></div><div class="wp-workCard_item"><span>Bioscience Journal</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The objective of this study was to conduct a temporal analysis of biophysical attributes of the r...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The objective of this study was to conduct a temporal analysis of biophysical attributes of the river basin of Rio Roncador, located in the municipality of Magé, Rio de Janeiro. SRTM data were used for the determination of the river basin morphometry and two images of the orbital platform Landsat5 TM sensor (01/28/1986 and 02/15/2010) applied the SEBAL algorithm to characterize the landscape dynamics. The results indicate that The river basin has a drainage area equivalent to 186.21 km2, perimeter 101.78 km, circularity index equal to 0.22, form factor 0.26 and compares index 2.09. These results indicate that the river basin is not prone to flooding, mainly due to its elongated form. It was possible to verify that in the interval of 24 years, degradation occurred in the region beyond the change in the coverage of the soil of the river basin. The results indicated a tendency of reduction in the areas of permanent preservation-13.4% of the river basin. It is concluded that anthropogenic actions were able to alter the surface cover of the soil and that, by the way, may have influenced the water dynamics of the river basin.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9d74ee7f59685eabf52e3ffb863eb996" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920684,"asset_id":83643156,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920684/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643156"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643156"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643156; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "9d74ee7f59685eabf52e3ffb863eb996" } } $('.js-work-strip[data-work-id=83643156]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":83643156,"title":"Physical attributes of the river basin of Roncador river associated to the landscape change in the municipality of Magé, Rio de Janeiro-Brazil","internal_url":"https://www.academia.edu/83643156/Physical_attributes_of_the_river_basin_of_Roncador_river_associated_to_the_landscape_change_in_the_municipality_of_Mag%C3%A9_Rio_de_Janeiro_Brazil","owner_id":5448607,"coauthors_can_edit":true,"owner":{"id":5448607,"first_name":"Rafael","middle_initials":null,"last_name":"Coll Delgado","page_name":"RafaelCollDelgado","domain_name":"independent","created_at":"2013-09-07T23:11:01.769-07:00","display_name":"Rafael Coll Delgado","url":"https://independent.academia.edu/RafaelCollDelgado"},"attachments":[{"id":88920684,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88920684/thumbnails/1.jpg","file_name":"22202.pdf","download_url":"https://www.academia.edu/attachments/88920684/download_file","bulk_download_file_name":"Physical_attributes_of_the_river_basin_o.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88920684/22202-libre.pdf?1658667581=\u0026response-content-disposition=attachment%3B+filename%3DPhysical_attributes_of_the_river_basin_o.pdf\u0026Expires=1740153645\u0026Signature=FFsWksCdnnT12ewQrasFXKBQ~eoRI7-H5CmT26R8-EAiaA2y2j4xgNRg1tB7yzhORnphsBo3DGAn~k6lv3Cwc2Ke~TUGO4sGGu23KRj1dKyX4uf4qv9I14wMod1S0MRLvw6br81Sv0wQqi0WJ5Zb2FKN5xrsRQ~c51mA1UOZBmsvYbmIQvEJymP~w7jbzKdRgOzZVRrYNznP7OBy7nXGS2ufbEIS4sMuNgwQ2BFrSEDPDOd2190MwfJS4YzQ65pk~fBPzs9VcRrDGByaH7RuecmMmpcgEL44pMVr3tmZtzANdRKGvy4g~2nwJUYfmb5sFAdpTGNrRGC-rgstPKPMrw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643155"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643155/Homogeneous_regions_for_rainfall_distribution_in_the_city_of_Rio_de_Janeiro_associated_with_the_risk_of_natural_disasters"><img alt="Research paper thumbnail of Homogeneous regions for rainfall distribution in the city of Rio de Janeiro associated with the risk of natural disasters" class="work-thumbnail" src="https://attachments.academia-assets.com/88920683/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643155/Homogeneous_regions_for_rainfall_distribution_in_the_city_of_Rio_de_Janeiro_associated_with_the_risk_of_natural_disasters">Homogeneous regions for rainfall distribution in the city of Rio de Janeiro associated with the risk of natural disasters</a></div><div class="wp-workCard_item"><span>Natural Hazards</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Objective: The spread of bovine spongiform encephalopathy (BSE) agent to small ruminants is still...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Objective: The spread of bovine spongiform encephalopathy (BSE) agent to small ruminants is still a major issue in the surveillance of transmissible spongiform encephalopathies (TSEs). L-type bovine spongiform encephalopathy (L-BSE) is an atypical form of BSE with an unknown zoonotic potential that is transmissible to cattle and small ruminants. Our current knowledge of bovine atypical prion strains in sheep and goat relies only on experimental transmission studies by intracranial inoculation. To assess oral susceptibility of goats to L-BSE, we orally inoculated five goats with cattle L-BSE brain homogenates and investigated pathogenic prion protein (PrP sc) distribution by an ultrasensitive in vitro conversion assay known as Real-Time Quaking Induced Conversion (RT-QuIC). Results: Despite a prolonged observation period of 80 months, all these animals and the uninfected controls did not develop clinical signs referable to TSEs and tested negative by standard diagnostics. Otherwise, RT-QuIC analysis showed seeding activity in five out of five examined brain samples. PrP sc accumulation was also detected in spinal cord and lymphoreticular system. These results indicate that caprine species are susceptible to L-BSE by oral transmission and that ultrasensitive prion tests deserve consideration to improve the potential of current surveillance systems against otherwise undetectable forms of animal prion infections.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="52fd84e124ef609a2d480416ce4208be" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920683,"asset_id":83643155,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920683/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643155"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643155"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643155; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643154"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643154/Determining_vegetation_dynamics_through_the_enhanced_vegetation_index_and_meteorological_variables_for_the_ribeir%C3%A3o_Cachimbal_basin_Rio_de_Janeiro_Brazil"><img alt="Research paper thumbnail of Determining vegetation dynamics through the enhanced vegetation index and meteorological variables for the ribeirão Cachimbal basin, Rio de Janeiro-Brazil" class="work-thumbnail" src="https://attachments.academia-assets.com/88920681/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643154/Determining_vegetation_dynamics_through_the_enhanced_vegetation_index_and_meteorological_variables_for_the_ribeir%C3%A3o_Cachimbal_basin_Rio_de_Janeiro_Brazil">Determining vegetation dynamics through the enhanced vegetation index and meteorological variables for the ribeirão Cachimbal basin, Rio de Janeiro-Brazil</a></div><div class="wp-workCard_item"><span>Bioscience Journal</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The objective of this study was to analyze a spatiotemporal study of the vegetation dynamics of t...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The objective of this study was to analyze a spatiotemporal study of the vegetation dynamics of the hydrographic basin of the Ribeirão Cachimbal in Rio de Janeiro (Brazil), based on Moderate-Resolution Imaging Spectroradiometer imagery acquired by the TERRA satellite. A total of 23 images were used for each year of El Niño (2005 and 2015), 250-m-resolution images from collection 006 of the 16-day Enhanced Vegetation Index (MOD13Q1) product were used. Daily rainfall and temperature data were obtained from a conventional meteorological station at Resende (Rio de Janeiro State), which were made available by the National Institute for Meteorology of Brazil. Simple linear regression analysis was performed to evaluate the dependence of the temporal series of vegetation as a function of the daily series of rainfall and temperature in terms of the significance of their correlation coefficients. Multivariate analysis of the main components was also undertaken. The results of the simple linear regression between the vegetation index and meteorological variables (temperature and rainfall) were significant in the respective years (p-value < 5%), except for rainfall in 2015, which presented a value of 0.06 (p-value < 25%). Observing the trend, both years (2005 and 2015 showed an increase in vegetation in the study area (Z = 0.37 and 0.24, respectively). By quantifying the values of the respective vegetation classes, it was possible to verify that a reduction of 40% had occurred in areas with dense vegetation coverage by 2015. The vegetation dynamics of the Ribeirão Cachimbal basin are influenced by rainfall and temperature variables and they have greatest correlation in spring and summer.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6342d6359d72071a7e99ef42a6c07e1f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920681,"asset_id":83643154,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920681/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643154"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643154"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643154; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643153"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643153/Physical_parameters_of_the_cachimbal_river_sub_basin_associated_to_landscape_change_in_Pinheiral_RJ_Brazil"><img alt="Research paper thumbnail of Physical parameters of the cachimbal river sub-basin associated to landscape change in Pinheiral-RJ, Brazil" class="work-thumbnail" src="https://attachments.academia-assets.com/88920682/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643153/Physical_parameters_of_the_cachimbal_river_sub_basin_associated_to_landscape_change_in_Pinheiral_RJ_Brazil">Physical parameters of the cachimbal river sub-basin associated to landscape change in Pinheiral-RJ, Brazil</a></div><div class="wp-workCard_item"><span>Bioscience Journal</span><span>, 2018</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e63ee79aa1199cb8d62ae4b883f85267" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920682,"asset_id":83643153,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920682/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643153"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643153"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643153; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643150"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643150/MODELO_3_PG_NA_PREVIS%C3%83O_DO_POTENCIAL_PRODUTIVO_DE_%C3%81REAS_PARA_PLANTIOS_COMERCIAIS_DE_Eucalyptus_spp"><img alt="Research paper thumbnail of MODELO 3-PG NA PREVISÃO DO POTENCIAL PRODUTIVO DE ÁREAS PARA PLANTIOS COMERCIAIS DE Eucalyptus spp" class="work-thumbnail" src="https://attachments.academia-assets.com/88920653/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643150/MODELO_3_PG_NA_PREVIS%C3%83O_DO_POTENCIAL_PRODUTIVO_DE_%C3%81REAS_PARA_PLANTIOS_COMERCIAIS_DE_Eucalyptus_spp">MODELO 3-PG NA PREVISÃO DO POTENCIAL PRODUTIVO DE ÁREAS PARA PLANTIOS COMERCIAIS DE Eucalyptus spp</a></div><div class="wp-workCard_item"><span>Ciência Florestal</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A predição da produção florestal requer conhecimento de variáveis dendrométricas e edafoclimática...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A predição da produção florestal requer conhecimento de variáveis dendrométricas e edafoclimáticas. Esse trabalho teve por objetivo ajustar e avaliar a precisão do modelo 3-PG em estimar as variáveis altura, diâmetro a altura do peito (DAP), volume e incremento médio anual (IMA) em plantio comercial de Eucalyptus spp. no norte de Minas Gerais, utilizando dados meteorológicos provenientes de estações automáticas de superfície e de sensoriamento remoto. Para validação do modelo foram estimados os dados de altura, DAP, volume e IMA pelo 3-PG e comparados com dados de inventários florestais, totalizando 335 medições, em 10 talhões, realizadas no período de 2005 a 2011. Foram aplicados os métodos estatísticos correlação linear (Pearson – r), coeficiente de determinação (R²), erro padrão da estimativa (Syx), erro padrão da estimativa em porcentagem (Syx%) e eficiente do modelo (EF).Observou-se que o modelo tende a superestimar as variáveis dendrométricas quando se utiliza a parametrização...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b38533eba49d14596a89afbbadeb44ee" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920653,"asset_id":83643150,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920653/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643150"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643150"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643150; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=83643150]").text(description); $(".js-view-count[data-work-id=83643150]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 83643150; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='83643150']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643148"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643148/Space_time_variability_of_the_Roncador_river_basin_in_the_change_of_land_use_and_cover_and_its_correlation_with_climatic_variables"><img alt="Research paper thumbnail of Space-time variability of the Roncador river basin in the change of land use and cover and its correlation with climatic variables" class="work-thumbnail" src="https://attachments.academia-assets.com/88920649/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643148/Space_time_variability_of_the_Roncador_river_basin_in_the_change_of_land_use_and_cover_and_its_correlation_with_climatic_variables">Space-time variability of the Roncador river basin in the change of land use and cover and its correlation with climatic variables</a></div><div class="wp-workCard_item"><span>Bioscience Journal</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The objective of this study was to evaluate the space-time dynamics of the soil use and occupatio...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The objective of this study was to evaluate the space-time dynamics of the soil use and occupation of the Rio Roncador river basin between 1985 and 2010. The scenes were classified by two methods (partially unsupervised - K-Means and supervised - Maximum likelihood), the Thematic Mapper sensor products on the LANDSAT 5 orbital platform were used for both images of a 25-year time series (1985 to 2000). In order to measure the accuracy of the field the computer application Google Earth was used, in which nine classes (urban area, agricultural area, pasture, exposed soil, native forest, secondary vegetation, mangrove, altitude field and water) were collected. A multiple linear regression was performed, correlating the Normalized Difference Vegetation Index - mean NDVI (dependent variable) with the independent climatic variables (global solar radiation - MJm-2day-1, average air temperature - °C, relative humidity -%, evapotranspiration - mm d-1, and rain - mm). According to the general ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5a10f5fd9cd5e671ea9ee559e66ad7b8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920649,"asset_id":83643148,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920649/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643148"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643148"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643148; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643146"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643146/Fire_outbreaks_in_extreme_climate_years_in_the_State_of_Rio_de_Janeiro_Brazil"><img alt="Research paper thumbnail of Fire outbreaks in extreme climate years in the State of Rio de Janeiro, Brazil" class="work-thumbnail" src="https://attachments.academia-assets.com/88920680/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643146/Fire_outbreaks_in_extreme_climate_years_in_the_State_of_Rio_de_Janeiro_Brazil">Fire outbreaks in extreme climate years in the State of Rio de Janeiro, Brazil</a></div><div class="wp-workCard_item"><span>Land Degradation &amp; Development</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Plant burning in tropical countries is a threat to the environment. It not only damages the local...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Plant burning in tropical countries is a threat to the environment. It not only damages the local ecology but also affects the economy and society. This work aimed to analyze the meteorological systems, soil attributes, and meteorological variables derived from NCEP-DOE Reanalysis 2 for 3 years of atypical climatic events (2005, 2010, and 2015); and relate these factors to the occurrence of fire outbreaks in the State of Rio de Janeiro, Brazil. In 2005, a total of 1,085 fire outbreaks were registered in the State, and most of them occurred during the dry season in the soil classes ultisol (542) and oxisol (139). The highest fire outbreaks concentration was reported in 2010, totaling 1, 702 outbreaks, and Argissolo and Latossolo (747 and 301, respectively) were also the most predominant soil classes. This fact can be explained by the greater predominance of pastures and greater area in km 2 in the State. In 2015, the highest number of fire outbreaks was recorded, again, in Argissolo (418), in addition to Gleissolo (102). The total number of fire outbreaks registered in 2015 was lower than those recorded in 2005 and 2010, totaling 916 fire outbreaks statewide. The correlation shows maximum positive values of zonal wind component (0.71) for 2005. The highest negative values correlations found for 2005, 2010, and 2015 were for the meteorological traits soil moisture and relative air humidity, respectively. The present study is important for highlighting up the vulnerability of the Atlantic Forest ecosystem, given the occurrence of fire outbreaks.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="94c71e4cdd100885981651f633ee2290" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920680,"asset_id":83643146,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920680/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643146"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643146"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643146; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643144"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643144/M%C3%A9todos_de_interpola%C3%A7%C3%A3o_espacial_do_regime_pluviom%C3%A9trico_no_espa%C3%A7o_urbano_de_Catal%C3%A3o_Goi%C3%A1s"><img alt="Research paper thumbnail of Métodos de interpolação espacial do regime pluviométrico no espaço urbano de Catalão, Goiás" class="work-thumbnail" src="https://attachments.academia-assets.com/88920677/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643144/M%C3%A9todos_de_interpola%C3%A7%C3%A3o_espacial_do_regime_pluviom%C3%A9trico_no_espa%C3%A7o_urbano_de_Catal%C3%A3o_Goi%C3%A1s">Métodos de interpolação espacial do regime pluviométrico no espaço urbano de Catalão, Goiás</a></div><div class="wp-workCard_item"><span>Revista Brasileira de Geografia Física</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">O presente estudo visa à realização de um estudo de métodos de interpolação espacial que melhor s...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">O presente estudo visa à realização de um estudo de métodos de interpolação espacial que melhor se ajustem a área urbana de Catalão, Goiás. Foi avaliado o desempenho espacial da chuva coletada por uma rede de pluviômetros modelo "Ville de Paris" através de três modelos: Exponencial, Gaussiano e Esférico no período de 2015 a 2016. Utilizaram-se dados diários de chuva dos pluviômetros e estações automática e convencional do Instituto Nacional de Meteorologia. Para validação foram adotados os seguintes parâmetros: regressão linear e correlação linear (Pearson) (r 2 e r), ajustamento de curvas, seguido do Erro Padrão de Estimativa (EPE), índice de concordância (d) e Viés Médio (VM). O ano de 2015 foi o mais inconsistente pontualmente, onde, o r 2 variou de 93% comparado com a convencional a 64% com a automática. Os erros foram maiores neste ano com VM para convencional de-146 mm e EPE de 21,13 mm, já a automática os erros foram menores com VM de 13,41 mm e EPE de 49,72 mm. Para o ano de 2016 o r 2 foi superior a 95% para ambas estações. O índice d foi igual a 1 para ambas estações. O melhor GDE encontrado foi para o ano de 2016, em que se ajustou um modelo Exponencial. Os piores resultados foram encontrados para o ano de 2015, onde ambos modelos apresentaram Efeito Pepira Puro, o que inviabiliza a utilização de KO. As regiões de maiores e menores adensamentos geográficos influenciaram diretamente nos volumes precipitados em Catalão, Goiás. Palavras Chave: Análise espacial, geoestatística, sinótica. Methods of spatial interpolation of the pluviometric regime in the urban space of Catalão, Goiás A B S T R A C T The present study aims to perform a study of spatial interpolation methods that best fit the urban area of Catalão, Goiás. The spatial performance of the rain collected by a network of "Ville de Paris" rain gauges was evaluated through three models: Exponential, Gaussian and Spherical data from 2015 to 2016. Rainfall data were used for rain gauges and automatic and conventional stations of the National Meteorological Institute. For validation, the following parameters were adopted: linear regression and linear (Pearson) correlation (r 2 and r), curve fitting, followed by Standard Error of Estimation (SEE), concordance index (d) and Medium Bias. The year 2015 was the most inconsistent on time, where r 2 ranged from 93% compared to conventional to 64% with automatic. The errors were larger in this year with conventional MB of-146 mm and EPE of 21.13 mm, while the automatic errors were smaller with MB of 13.41 mm and SEE of 49.72 mm. For the year 2016 r 2 was higher than 95% for both seasons. The index d was equal to 1 for both seasons. The best DSP found was for the year 2016, in which an Exponential model was fitted. The worst results were found for the year 2015, where both models presented Pure Pepira Effect, which made it impossible to use OK. The regions with larger and smaller geographic densities influenced directly the volumes precipitated in Catalão, Goiás.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="676ed802fc3d36f683e4cd7d505d145d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920677,"asset_id":83643144,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920677/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643144"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643144"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643144; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=83643144]").text(description); $(".js-view-count[data-work-id=83643144]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 83643144; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='83643144']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "676ed802fc3d36f683e4cd7d505d145d" } } $('.js-work-strip[data-work-id=83643144]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":83643144,"title":"Métodos de interpolação espacial do regime pluviométrico no espaço urbano de Catalão, Goiás","translated_title":"","metadata":{"publisher":"Revista Brasileira de Geografia Fisica","grobid_abstract":"O presente estudo visa à realização de um estudo de métodos de interpolação espacial que melhor se ajustem a área urbana de Catalão, Goiás. Foi avaliado o desempenho espacial da chuva coletada por uma rede de pluviômetros modelo \"Ville de Paris\" através de três modelos: Exponencial, Gaussiano e Esférico no período de 2015 a 2016. Utilizaram-se dados diários de chuva dos pluviômetros e estações automática e convencional do Instituto Nacional de Meteorologia. Para validação foram adotados os seguintes parâmetros: regressão linear e correlação linear (Pearson) (r 2 e r), ajustamento de curvas, seguido do Erro Padrão de Estimativa (EPE), índice de concordância (d) e Viés Médio (VM). O ano de 2015 foi o mais inconsistente pontualmente, onde, o r 2 variou de 93% comparado com a convencional a 64% com a automática. Os erros foram maiores neste ano com VM para convencional de-146 mm e EPE de 21,13 mm, já a automática os erros foram menores com VM de 13,41 mm e EPE de 49,72 mm. Para o ano de 2016 o r 2 foi superior a 95% para ambas estações. O índice d foi igual a 1 para ambas estações. O melhor GDE encontrado foi para o ano de 2016, em que se ajustou um modelo Exponencial. Os piores resultados foram encontrados para o ano de 2015, onde ambos modelos apresentaram Efeito Pepira Puro, o que inviabiliza a utilização de KO. As regiões de maiores e menores adensamentos geográficos influenciaram diretamente nos volumes precipitados em Catalão, Goiás. Palavras Chave: Análise espacial, geoestatística, sinótica. Methods of spatial interpolation of the pluviometric regime in the urban space of Catalão, Goiás A B S T R A C T The present study aims to perform a study of spatial interpolation methods that best fit the urban area of Catalão, Goiás. The spatial performance of the rain collected by a network of \"Ville de Paris\" rain gauges was evaluated through three models: Exponential, Gaussian and Spherical data from 2015 to 2016. Rainfall data were used for rain gauges and automatic and conventional stations of the National Meteorological Institute. For validation, the following parameters were adopted: linear regression and linear (Pearson) correlation (r 2 and r), curve fitting, followed by Standard Error of Estimation (SEE), concordance index (d) and Medium Bias. The year 2015 was the most inconsistent on time, where r 2 ranged from 93% compared to conventional to 64% with automatic. The errors were larger in this year with conventional MB of-146 mm and EPE of 21.13 mm, while the automatic errors were smaller with MB of 13.41 mm and SEE of 49.72 mm. For the year 2016 r 2 was higher than 95% for both seasons. The index d was equal to 1 for both seasons. The best DSP found was for the year 2016, in which an Exponential model was fitted. The worst results were found for the year 2015, where both models presented Pure Pepira Effect, which made it impossible to use OK. 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Foi avaliado o desempenho espacial da chuva coletada por uma rede de pluviômetros modelo \"Ville de Paris\" através de três modelos: Exponencial, Gaussiano e Esférico no período de 2015 a 2016. Utilizaram-se dados diários de chuva dos pluviômetros e estações automática e convencional do Instituto Nacional de Meteorologia. Para validação foram adotados os seguintes parâmetros: regressão linear e correlação linear (Pearson) (r 2 e r), ajustamento de curvas, seguido do Erro Padrão de Estimativa (EPE), índice de concordância (d) e Viés Médio (VM). O ano de 2015 foi o mais inconsistente pontualmente, onde, o r 2 variou de 93% comparado com a convencional a 64% com a automática. Os erros foram maiores neste ano com VM para convencional de-146 mm e EPE de 21,13 mm, já a automática os erros foram menores com VM de 13,41 mm e EPE de 49,72 mm. Para o ano de 2016 o r 2 foi superior a 95% para ambas estações. O índice d foi igual a 1 para ambas estações. O melhor GDE encontrado foi para o ano de 2016, em que se ajustou um modelo Exponencial. Os piores resultados foram encontrados para o ano de 2015, onde ambos modelos apresentaram Efeito Pepira Puro, o que inviabiliza a utilização de KO. As regiões de maiores e menores adensamentos geográficos influenciaram diretamente nos volumes precipitados em Catalão, Goiás. Palavras Chave: Análise espacial, geoestatística, sinótica. Methods of spatial interpolation of the pluviometric regime in the urban space of Catalão, Goiás A B S T R A C T The present study aims to perform a study of spatial interpolation methods that best fit the urban area of Catalão, Goiás. The spatial performance of the rain collected by a network of \"Ville de Paris\" rain gauges was evaluated through three models: Exponential, Gaussian and Spherical data from 2015 to 2016. Rainfall data were used for rain gauges and automatic and conventional stations of the National Meteorological Institute. For validation, the following parameters were adopted: linear regression and linear (Pearson) correlation (r 2 and r), curve fitting, followed by Standard Error of Estimation (SEE), concordance index (d) and Medium Bias. The year 2015 was the most inconsistent on time, where r 2 ranged from 93% compared to conventional to 64% with automatic. The errors were larger in this year with conventional MB of-146 mm and EPE of 21.13 mm, while the automatic errors were smaller with MB of 13.41 mm and SEE of 49.72 mm. For the year 2016 r 2 was higher than 95% for both seasons. The index d was equal to 1 for both seasons. The best DSP found was for the year 2016, in which an Exponential model was fitted. The worst results were found for the year 2015, where both models presented Pure Pepira Effect, which made it impossible to use OK. The regions with larger and smaller geographic densities influenced directly the volumes precipitated in Catalão, Goiás.","owner":{"id":5448607,"first_name":"Rafael","middle_initials":null,"last_name":"Coll Delgado","page_name":"RafaelCollDelgado","domain_name":"independent","created_at":"2013-09-07T23:11:01.769-07:00","display_name":"Rafael Coll Delgado","url":"https://independent.academia.edu/RafaelCollDelgado"},"attachments":[{"id":88920677,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88920677/thumbnails/1.jpg","file_name":"29601.pdf","download_url":"https://www.academia.edu/attachments/88920677/download_file","bulk_download_file_name":"Metodos_de_interpolacao_espacial_do_regi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88920677/29601-libre.pdf?1658667580=\u0026response-content-disposition=attachment%3B+filename%3DMetodos_de_interpolacao_espacial_do_regi.pdf\u0026Expires=1738805065\u0026Signature=Wj0mr5ap42Mxa77BjOUv1vc9K5hOZtacKOJzYqc9JQJgnds37OUOcbbP-ESf5x7-Tw99H7vgD~cQlwTQsNS541PN3NOKcjdzr02SKaKkfXH43B5eDz89xI46PGNIarPNz5r5ALbq9rHDOGYRn~ua8fwLD8OKLJR4FTPteKs8-tp1A79KgC~9788LeKpvjeBdmMWP4oO92Q2XmqmvuT~0TtVgY~GolgUC9yhuKYesGEEMMZsSZ5uCiHHJAqdvVgj~HRqc9iDbqn0Yf7azyD3aj6ottllRdEmB8MnpGvSMi8cC0PetNr65Cp0db8cTMbiti7PXwqc-CvqAOVZPU6hRhg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643141"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643141/Orbital_and_Surface_Evapotranspiration_Compared_to_FAO_56_Standard_in_State_of_Acre"><img alt="Research paper thumbnail of Orbital and Surface Evapotranspiration Compared to FAO-56 Standard in State of Acre" class="work-thumbnail" src="https://attachments.academia-assets.com/88920644/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643141/Orbital_and_Surface_Evapotranspiration_Compared_to_FAO_56_Standard_in_State_of_Acre">Orbital and Surface Evapotranspiration Compared to FAO-56 Standard in State of Acre</a></div><div class="wp-workCard_item"><span>IRRIGA</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ORBITAL AND SURFACE EVAPOTRANSPIRATION COMPARED TO FAO-56 STANDARD IN STATE OF ACRE RAFAEL COLL ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ORBITAL AND SURFACE EVAPOTRANSPIRATION COMPARED TO FAO-56 STANDARD IN STATE OF ACRE RAFAEL COLL DELGADO1; LEONARDO PAULA DE SOUZA2; MARCOS GERVASIO PEREIRA3; CATHERINE TORRES DE ALMEIDA4 E RAFAEL DE ÁVILA RODRIGUES5 1Universidade Federal Rural do Rio de Janeiro, Professor Doutor do Instituto de Florestas, Departamento de Ciências Ambientais, UFRRJ, CEP 23890-000, Seropédica, RJ, Brasil, <a href="mailto:rafaelcolldelgado32@gmail.com" rel="nofollow">rafaelcolldelgado32@gmail.com</a>; 2Universidade Federal do Acre, Professor Doutor do Centro de Ciências Biológicas e da Natureza, UFAC, CEP 69.920-900, Rio Branco, AC, Brasil, <a href="mailto:leonardo.acre@gmail.com" rel="nofollow">leonardo.acre@gmail.com</a>; 3Universidade Federal Rural do Rio de Janeiro, Professor Doutor do Departamento de Solos, UFRRJ, CEP 23890-000, Seropédica, RJ, Brasil, <a href="mailto:mgervasiopereira01@gmail.com" rel="nofollow">mgervasiopereira01@gmail.com</a>;4Instituto Nacional de Pesquisas Espaciais, Doutoranda em Sensoriamento Remoto, INPE, CEP 65250-000, São José dos Campos, SP, Brasil, <a href="mailto:cathe.torres@gmail.com" rel="nofollow">cathe.torres@gmail.com</a>;5Universidade Federal de Goiás, Professor Doutor da Unidade Acadêmica Especial, In...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="2ffcf585c5a6009ecb1b676fe4eadfcc" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920644,"asset_id":83643141,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920644/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643141"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643141"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643141; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643139"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643139/Influ%C3%AAncia_das_vari%C3%A1veis_clim%C3%A1ticas_na_produ%C3%A7%C3%A3o_florestal_via_modelo_3_PG_no_Norte_de_Minas_Gerais"><img alt="Research paper thumbnail of Influência das variáveis climáticas na produção florestal via modelo 3-PG no Norte de Minas Gerais" class="work-thumbnail" src="https://attachments.academia-assets.com/88920678/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643139/Influ%C3%AAncia_das_vari%C3%A1veis_clim%C3%A1ticas_na_produ%C3%A7%C3%A3o_florestal_via_modelo_3_PG_no_Norte_de_Minas_Gerais">Influência das variáveis climáticas na produção florestal via modelo 3-PG no Norte de Minas Gerais</a></div><div class="wp-workCard_item"><span>Scientia Forestalis</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Este trabalho teve por objetivo avaliar a influência das variáveis climáticas sobre a produção de...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Este trabalho teve por objetivo avaliar a influência das variáveis climáticas sobre a produção de plantios de Eucalyptus spp. na região Norte de Minas Gerais utilizando o modelo ecofisiológico de crescimento 3-PG (Physiological Principles in Predicting Growth). O 3-PG foi executado com base em médias históricas e mensais obtidas pelo INMET (Instituto Nacional de Meteorologia) e satélite TRMM (Tropical Rainfall Measuring Mission). A correlação linear (Pearson) (r), coeficiente de determinação (R²), erro padrão da estimativa (S yx), eficiência do modelo (EF) e raiz do erro quadrático médio (RMSE) foram utilizados para avaliar as estimativas realizadas pelo modelo 3-PG. As variáveis dendrométricas, diâmetro médio a altura do peito (DAP-cm), altura total (m), volume (m³.ha-1) e incremento médio anual (IMA-m³.ha-1), estimadas pelo 3-PG, com média histórica, apresentaram alta variação, com tendência de subestimativa das variáveis. As estatísticas r e R² apresentaram valores satisfatórios (> 0,60). Porém observou-se que o erro das estimativas tende a ser maior quando se utiliza média histórica. O modelo teve redução da EF de 0,58 para 0,50 para o IMA. Durante janeiro de 2005 a dezembro de 2011 não houve redução da produção, caso as variáveis climáticas tivessem comportamento semelhante às médias históricas. Dentre os moduladores ambientais, observou-se que o fAS teve maior restrição sobre o crescimento das árvores nessa região, seguido do modulador fDPV, o que pode estar relacionado às altas temperaturas encontradas na região. A utilização de normais climatológicas mostrou-se adequada para analisar o potencial produtivo de novas áreas para produção de Eucalyptus spp. na região, no entanto deve-se atentar para possíveis variações climáticas que podem reduzir a produção.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ea3050756fddd1cee0d3657859318d0e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920678,"asset_id":83643139,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920678/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643139"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643139"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643139; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "ea3050756fddd1cee0d3657859318d0e" } } $('.js-work-strip[data-work-id=83643139]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":83643139,"title":"Influência das variáveis climáticas na produção florestal via modelo 3-PG no Norte de Minas Gerais","internal_url":"https://www.academia.edu/83643139/Influ%C3%AAncia_das_vari%C3%A1veis_clim%C3%A1ticas_na_produ%C3%A7%C3%A3o_florestal_via_modelo_3_PG_no_Norte_de_Minas_Gerais","owner_id":5448607,"coauthors_can_edit":true,"owner":{"id":5448607,"first_name":"Rafael","middle_initials":null,"last_name":"Coll Delgado","page_name":"RafaelCollDelgado","domain_name":"independent","created_at":"2013-09-07T23:11:01.769-07:00","display_name":"Rafael Coll Delgado","url":"https://independent.academia.edu/RafaelCollDelgado"},"attachments":[{"id":88920678,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88920678/thumbnails/1.jpg","file_name":"cap15.pdf","download_url":"https://www.academia.edu/attachments/88920678/download_file","bulk_download_file_name":"Influencia_das_variaveis_climaticas_na_p.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88920678/cap15-libre.pdf?1658667593=\u0026response-content-disposition=attachment%3B+filename%3DInfluencia_das_variaveis_climaticas_na_p.pdf\u0026Expires=1740153645\u0026Signature=LPf7rBe9wiWaVFIv5KPdl9lOzKOnGaELrZgAIQibmcQGV~4U~NLtZFATRiW-n~cbkyYG~zru2HJBLyNfDjOzZPhe~46NfgAegpjvoM3k3FJj84NEe6bj2Y1slxEa0VURzYk0ymGrSLT6WpFWop7QjEDbsBihlTZ4vIBleoQZC2KQEohso2fUEKQx5y90tKqQ6xsBjjeHWgGnelBP2HUp2WcEny02V6423FbXkzTrIT-u~WODlEwRibd6ags4-ItA6GmQ-3bYC5Fz~aJpgUamgzx0oTu~i2XUEBoQwvDUhLcUsoMvXRSnq9J9zzvNkFX8HEagDyr3wTFIg8J9GKJmhA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643138"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643138/Probable_monthly_rainfall_associated_with_distinct_biomes_of_Mato_Grosso_do_Sul_state"><img alt="Research paper thumbnail of Probable monthly rainfall associated with distinct biomes of Mato Grosso do Sul state" class="work-thumbnail" src="https://attachments.academia-assets.com/88920672/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643138/Probable_monthly_rainfall_associated_with_distinct_biomes_of_Mato_Grosso_do_Sul_state">Probable monthly rainfall associated with distinct biomes of Mato Grosso do Sul state</a></div><div class="wp-workCard_item"><span>Bioscience Journal</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The aim of this study was to determine the probable monthly rainfall for the state of Mato Grosso...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The aim of this study was to determine the probable monthly rainfall for the state of Mato Grosso do Sul, considering the level of 75% probability, and study the spatial distribution associated with its different biomes. The rainfall data of 32 stations (sites) in the state of Mato Grosso do Sul were collected in the period 1954-2013. In each of the 384 series, the average monthly rainfall was calculated, for at least 30 years of observation. The Kolmogorov-Smirnov adhesion test was applied to the rainfall time series to check the fit of the data to a normal distribution. The likely fallout was estimated at 75% probability, using the normal probability distribution and, subsequently, it was adopted the method of Ordinary Kriging interpolation mathematics to spatial data. Based on the likely monthly precipitation estimated, the State of Mato Grosso do Sul possess three distinct periods, with the precipitation associated with different biomes: the rainy season (between the months November to March, where increased precipitation occurred in the Savanna biome), dry season (between the months from June to August, when the highest rainfall occurred in the Atlantic Forest) and transition period (April and May and September and October).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="044e77893e4aed0f21b336104c918fa3" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920672,"asset_id":83643138,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920672/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643138"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643138"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643138; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643137"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643137/Padr%C3%B5es_da_Regenera%C3%A7%C3%A3o_Natural_na_Regi%C3%A3o_de_Mar_de_Morros_Pinheiral_RJ"><img alt="Research paper thumbnail of Padrões da Regeneração Natural na Região de Mar de Morros, Pinheiral-RJ" class="work-thumbnail" src="https://attachments.academia-assets.com/88920643/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643137/Padr%C3%B5es_da_Regenera%C3%A7%C3%A3o_Natural_na_Regi%C3%A3o_de_Mar_de_Morros_Pinheiral_RJ">Padrões da Regeneração Natural na Região de Mar de Morros, Pinheiral-RJ</a></div><div class="wp-workCard_item"><span>Floresta e Ambiente</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">RESUMO A Floresta Atlântica é o ecossistema brasileiro submetido a processos de degradação ambien...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">RESUMO A Floresta Atlântica é o ecossistema brasileiro submetido a processos de degradação ambiental mais acentuado, mesmo assim, em alguns ambientes o processo de regeneração natural pode ser observado. O objetivo deste estudo foi avaliar o padrão da regeneração natural dos fragmentos florestais do Médio Vale Paraíba do Sul quanto aos fatores topográficos e identificar áreas potenciais ao processo de regeneração. O mapeamento dos fragmentos florestais foi obtido a partir de imagens do sensor Thematic Mapper (1994 e 2011). Para os fatores topográficos foram utilizadas as cartas topográficas do IBGE. O processo de regeneração natural na área de estudo é influenciado pelos fatores topográficos e acontece principalmente nos ambientes com superfície plana, declividade variando de ondulada a forte ondulada, orientação da vertente variando de SE (sudeste) a SW (sudoeste) e radiação solar global entre 150000 e 1700000 Watts. Na sub-bacia do ribeirão Cachimbal, os ambientes favoráveis à reg...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0555c87329134692bcb29ca8d226ba02" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920643,"asset_id":83643137,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920643/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643137"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643137"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643137; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643136"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643136/Potential_Areas_for_the_Formation_of_Ecological_Corridors_Between_Remnants_of_Atlantic_Forest"><img alt="Research paper thumbnail of Potential Areas for the Formation of Ecological Corridors Between Remnants of Atlantic Forest" class="work-thumbnail" src="https://attachments.academia-assets.com/88920673/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643136/Potential_Areas_for_the_Formation_of_Ecological_Corridors_Between_Remnants_of_Atlantic_Forest">Potential Areas for the Formation of Ecological Corridors Between Remnants of Atlantic Forest</a></div><div class="wp-workCard_item"><span>Revista Árvore</span><span>, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In Brazil, the remaining areas of Atlantic Forest are intensely fragmented. The connection of for...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In Brazil, the remaining areas of Atlantic Forest are intensely fragmented. The connection of forest fragments through ecological corridors is an important step in biodiversity conservation. Certain areas are more resilient, and in those areas, natural forest regeneration, for example, can be encouraged. The aim of this study was to identify areas of greater resilience in order to support the connection of Atlantic Forest fragments with ecological corridors. Forest fragments in the municipality of Paraíba do Sul, in the state of Rio de Janeiro, were mapped using the supervised maximum likelihood classification of an Operational Land Imager (OLI)/Landsat-8 sensor image. Next, we analyzed the influence of terrain attributes (aspect, incident solar radiation, slope, and curvature profile) on natural regeneration. The areas with the greatest potential to achieve natural regeneration and to form ecological corridors were indicated through fuzzy membership functions. Within Paraíba do Sul...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="afa6528920e140aa12dfd267e5d0c599" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920673,"asset_id":83643136,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920673/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643136"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643136"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643136; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "afa6528920e140aa12dfd267e5d0c599" } } $('.js-work-strip[data-work-id=83643136]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":83643136,"title":"Potential Areas for the Formation of Ecological Corridors Between Remnants of Atlantic Forest","internal_url":"https://www.academia.edu/83643136/Potential_Areas_for_the_Formation_of_Ecological_Corridors_Between_Remnants_of_Atlantic_Forest","owner_id":5448607,"coauthors_can_edit":true,"owner":{"id":5448607,"first_name":"Rafael","middle_initials":null,"last_name":"Coll Delgado","page_name":"RafaelCollDelgado","domain_name":"independent","created_at":"2013-09-07T23:11:01.769-07:00","display_name":"Rafael Coll Delgado","url":"https://independent.academia.edu/RafaelCollDelgado"},"attachments":[{"id":88920673,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88920673/thumbnails/1.jpg","file_name":"dfa4d60ffc2aa49bc2164ec49136c90f1acf.pdf","download_url":"https://www.academia.edu/attachments/88920673/download_file","bulk_download_file_name":"Potential_Areas_for_the_Formation_of_Eco.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88920673/dfa4d60ffc2aa49bc2164ec49136c90f1acf-libre.pdf?1658667608=\u0026response-content-disposition=attachment%3B+filename%3DPotential_Areas_for_the_Formation_of_Eco.pdf\u0026Expires=1740153645\u0026Signature=IulbATEybBiEnYrwUbMMAj-S-MscMKThRSe6zUVVQq~GB73NVvrjgOyBKpZMZryJghmc4YPJKOxp64WEkqGL1tHOJzUNWGVU2MbGWk6T080snbzJepPXgiYGd0OJYp~SyZ11tzMSCboYleH86~xmsL5bfcfW6olgsMpM-M5YIcxbr4tFGuiIJ~Ifvkkv9ivbdzSWXxon7dklz8zTELRTg05xrHDexAevQd8fG3pEL7qNFfN-BvaFcr2~wlqHh2qk7TC20cwBJl8wtXn-Zt06u7WER9xgJFGcUc7-f8K5QW2261JshTALUfl450VVHCKFdWWVn6xZ6g9Vx8weWzpLig__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643135"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643135/Determina%C3%A7%C3%A3o_Da_Temperatura_Da_Superf%C3%ADcie_Na_%C3%81rea_Do_Projeto_De_Assentamento_Dirigido_Em_Santa_Luzia_Cruzeiro_Do_Sul_Ac_Brasil"><img alt="Research paper thumbnail of Determinação Da Temperatura Da Superfície Na Área Do Projeto De Assentamento Dirigido Em Santa Luzia, Cruzeiro Do Sul, Ac, Brasil" class="work-thumbnail" src="https://attachments.academia-assets.com/88920671/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643135/Determina%C3%A7%C3%A3o_Da_Temperatura_Da_Superf%C3%ADcie_Na_%C3%81rea_Do_Projeto_De_Assentamento_Dirigido_Em_Santa_Luzia_Cruzeiro_Do_Sul_Ac_Brasil">Determinação Da Temperatura Da Superfície Na Área Do Projeto De Assentamento Dirigido Em Santa Luzia, Cruzeiro Do Sul, Ac, Brasil</a></div><div class="wp-workCard_item"><span>REVISTA GEOGRÁFICA ACADÊMICA</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Este trabalho avaliou o comportamento da floresta e demais classes espectrais do Projeto de Assen...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Este trabalho avaliou o comportamento da floresta e demais classes espectrais do Projeto de Assentamento Dirigido Santa Luzia, utilizando os recursos do Geoprocessamento e Sensoriamento Remoto. O período avaliado estende-se entre o ano de 2005 a 2010, e procurou avaliar o comportamento da evolução espacial de áreas como a floresta, pastagens e áreas utilizadas para agricultura, assim como demais benfeitorias realizadas no perímetro do assentamento. Neste sentido, os objetivos gerais deste trabalho foram: caracterizar a contração ou a expansão de classes de floresta, pastagens, regeneração da floresta e áreas alagadas, no PAD Santa Luzia, AC. Os resultados encontrados mostraram um significativo aumento do índice de regeneração da floresta e conversão de áreas de pastagens e cultivos em capoeira, considerando que esta tipologia florestal é essencial para o processo de transição de áreas desflorestadas em sua reestruturação à condição de floresta novamente. São ainda apresentados dados que demonstraram a elevação dos valores referentes a corpos d'água, embora as imagens tenham sido adquiridas em períodos de estiagem (período seco amazônico) na região. Os dados obtidos pelo algoritmo de Mahalanobis, evidenciaram um significativo aumento destes recursos na superfície estudada. Os dados apresentaram o comportamento de leve decréscimo para a floresta durante o período avaliado.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3df4d25da4189f7f172125ed9c92ae2a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920671,"asset_id":83643135,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920671/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643135"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643135"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643135; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643134"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643134/Din%C3%A2mica_Espacial_e_Temporal_Do_Uso_Da_Terra_No_Munic%C3%ADpio_De_Serop%C3%A9dica_Rio_De_Janeiro_Brasil"><img alt="Research paper thumbnail of Dinâmica Espacial e Temporal Do Uso Da Terra No Município De Seropédica, Rio De Janeiro, Brasil" class="work-thumbnail" src="https://attachments.academia-assets.com/88920676/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643134/Din%C3%A2mica_Espacial_e_Temporal_Do_Uso_Da_Terra_No_Munic%C3%ADpio_De_Serop%C3%A9dica_Rio_De_Janeiro_Brasil">Dinâmica Espacial e Temporal Do Uso Da Terra No Município De Seropédica, Rio De Janeiro, Brasil</a></div><div class="wp-workCard_item"><span>REVISTA GEOGRÁFICA ACADÊMICA</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Foram avaliados a dinâmica espaço-temporal do uso e cobertura da terra entre os anos de 1990 e 20...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Foram avaliados a dinâmica espaço-temporal do uso e cobertura da terra entre os anos de 1990 e 2010 no município de Seropédica, Região Metropolitana do Rio de Janeiro (RMRJ). Foram utilizadas imagens TM (Thematic Mapper) Landsat 5 e os métodos de classificações supervisionadas baseado nos algoritmos da Mínima Distância (MINIDIST), Máxima Verossimilhança (MAXVER) e distância de Mahalanobis (MAHAL). Os resultados obtidos de 1990 mostraram que a classificação MINIDIST superestimou as classes de áreas de água (5,02%), mata (8,94%), solo exposto (16,05%) e pastagem (59,33%), respectivamente. O MINIDIST em 1990 subestimou a classe área urbana (10,66%) comparado com os demais métodos. As classes pastagem (59%), mata (20,68%) e água (2,25%) foram superestimadas pelo MINIDIST, enquanto que para as classes espectrais de solo exposto (0,92%), área urbana (11,54%) e eucalipto (5,81%) ocorreram subestimativa comparado aos métodos MAHAL e MAXVER em 2010. O viés médio mostrou que os valores de área para ambos os classificadores foram superestimados em relação aos dados do projeto SOS Mata Atlântica. Os índices de vegetação mostraram-se compatíveis com a literatura, às exceções foram às discrepâncias na estimativa de área atribuídas à transição de períodos secos e chuvosos que ocorreram antes da passagem do satélite sobre a região. Ressalta-se que todos os classificadores utilizados neste estudo são passíveis de erro, ou seja, os classificadores foram desenvolvidos na tentativa de aperfeiçoarem os trabalhos de interpretação visual em Seropédica.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="54422fb629941f93a1d6fa5d251cf70b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920676,"asset_id":83643134,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920676/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643134"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643134"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643134; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643131"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643131/Avalia%C3%A7%C3%A3o_da_Din%C3%A2mica_da_Vegeta%C3%A7%C3%A3o_em_%C3%81reas_Desmatadas_na_Floresta_Amaz%C3%B4nica"><img alt="Research paper thumbnail of Avaliação da Dinâmica da Vegetação em Áreas Desmatadas na Floresta Amazônica" class="work-thumbnail" src="https://attachments.academia-assets.com/88920636/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643131/Avalia%C3%A7%C3%A3o_da_Din%C3%A2mica_da_Vegeta%C3%A7%C3%A3o_em_%C3%81reas_Desmatadas_na_Floresta_Amaz%C3%B4nica">Avaliação da Dinâmica da Vegetação em Áreas Desmatadas na Floresta Amazônica</a></div><div class="wp-workCard_item"><span>Floresta e Ambiente</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">RESUMO No presente estudo avaliou-se a dinâmica da vegetação de florestas tropicais no período de...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">RESUMO No presente estudo avaliou-se a dinâmica da vegetação de florestas tropicais no período de 2000 a 2010 em áreas desmatadas, utilizando-se os produtos MOD44B, 3B43 e SRTM. Através deles analisou-se, temporal e espacialmente, a ocorrência de regeneração em áreas de desmatamento mapeadas pelo sistema PRODES (Projeto de Estimativa de Desflorestamento da Amazônia) do INPE (Instituto Nacional de Pesquisas Espaciais). Os resultados encontrados mostraram que há regeneração nas áreas desmatadas e que, ao longo do tempo, a densidade da vegetação tende a aumentar. As áreas regeneradas apareceram majoritariamente em áreas mais baixas, seguindo a tendência do desmatamento. O MOD44B mostrou-se eficiente no estudo temporal e espacial da vegetação, indicando haver regeneração ao longo do tempo. O período de maior precipitação coincidiu com o período em que os pixels de menor densidade migraram para classes de maior densidade, sugerindo uma possível relação entre os índices de precipitação e ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e65209e95b24bb99b49670de33ab7b56" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920636,"asset_id":83643131,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920636/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643131"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643131"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643131; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e65209e95b24bb99b49670de33ab7b56" } } $('.js-work-strip[data-work-id=83643131]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":83643131,"title":"Avaliação da Dinâmica da Vegetação em Áreas Desmatadas na Floresta Amazônica","internal_url":"https://www.academia.edu/83643131/Avalia%C3%A7%C3%A3o_da_Din%C3%A2mica_da_Vegeta%C3%A7%C3%A3o_em_%C3%81reas_Desmatadas_na_Floresta_Amaz%C3%B4nica","owner_id":5448607,"coauthors_can_edit":true,"owner":{"id":5448607,"first_name":"Rafael","middle_initials":null,"last_name":"Coll Delgado","page_name":"RafaelCollDelgado","domain_name":"independent","created_at":"2013-09-07T23:11:01.769-07:00","display_name":"Rafael Coll Delgado","url":"https://independent.academia.edu/RafaelCollDelgado"},"attachments":[{"id":88920636,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88920636/thumbnails/1.jpg","file_name":"2179-8087-floram-22-4-512.pdf","download_url":"https://www.academia.edu/attachments/88920636/download_file","bulk_download_file_name":"Avaliacao_da_Dinamica_da_Vegetacao_em_Ar.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88920636/2179-8087-floram-22-4-512-libre.pdf?1658667599=\u0026response-content-disposition=attachment%3B+filename%3DAvaliacao_da_Dinamica_da_Vegetacao_em_Ar.pdf\u0026Expires=1740153645\u0026Signature=fsruIsyDL6p9y9FjrU37qoa1SyVXrbaGvYjkBFeha145N19~8ydfebxQQ~lY8SNLh1HcXY-2kLsSAMPFa6M5p8dCaFBT7tMyco78FqO0SgXBH1CdIblHzepTbbqluljAZYcj4G9BnapMIRJqsJXdc~-StJxrT7AgsocB3Gl1cTV66yWw~JLsB71wVycpzpomCd0lC2ApBCjn3xj6DMf6GztLp9yUbUg5Zx41y0EvxAVxCKLbd8Ci5DjZlaUtcTkahFxQev6jp-Fm~FlzfhBJlEqlLkgwPwXP0DfjjBaD4luxpzGdXjXTawnuMd00r9ej~t~HqioT0hkcdskgljyo5A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643129"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643129/Space_time_variability_of_vegetation_by_orbital_platforms_in_the_western_Amazon"><img alt="Research paper thumbnail of Space-time variability of vegetation by orbital platforms in the western Amazon" class="work-thumbnail" src="https://attachments.academia-assets.com/88920670/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643129/Space_time_variability_of_vegetation_by_orbital_platforms_in_the_western_Amazon">Space-time variability of vegetation by orbital platforms in the western Amazon</a></div><div class="wp-workCard_item"><span>Bioscience Journal</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Percentage maps (%) of forest cover derived from the annual product MOD44B were compared with the...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Percentage maps (%) of forest cover derived from the annual product MOD44B were compared with the annual deforestation data from PRODES. PRODES data were used to calibrate the MOD44B (sub-pixel-level representation of surface vegetation cover estimates globally) annual images with the aim of evaluating the annual characterization of the deforestation dynamics and forest regeneration in the municipality of Bujari-Acre, Brazil, from 2000 to 2010. The percentage rates from MODIS were divided into forest cover categories (forested and deforested areas) by means of the Mann-Kendall (MK) non-parametric test used in each category. The results were satisfactory when compared with PRODES. The analysis of MOD44B product in the municipality, during the years 2001, 2004 and 2009, shows that there was an increase of the pixel frequency in the "Extremely High" category, which indicates regeneration of the area in the municipality of Bujari. Validations in situ should be done primarily to the regenerate areas.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="2bb7f1a29cbde79f7b37f905f5c631f9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920670,"asset_id":83643129,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920670/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643129"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643129"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643129; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83643127"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83643127/%C3%8Dndice_de_%C3%81rea_Foliar_de_Eucalyptus_Estimado_por_%C3%8Dndices_de_Vegeta%C3%A7%C3%A3o_Utilizando_Imagens_TM_Landsat_5"><img alt="Research paper thumbnail of Índice de Área Foliar de Eucalyptus Estimado por Índices de Vegetação Utilizando Imagens TM - Landsat 5" class="work-thumbnail" src="https://attachments.academia-assets.com/88920632/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83643127/%C3%8Dndice_de_%C3%81rea_Foliar_de_Eucalyptus_Estimado_por_%C3%8Dndices_de_Vegeta%C3%A7%C3%A3o_Utilizando_Imagens_TM_Landsat_5">Índice de Área Foliar de Eucalyptus Estimado por Índices de Vegetação Utilizando Imagens TM - Landsat 5</a></div><div class="wp-workCard_item"><span>Floresta e Ambiente</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">RESUMOEste trabalho teve como objetivo ajustar modelos de regressão entre o índice de área foliar...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">RESUMOEste trabalho teve como objetivo ajustar modelos de regressão entre o índice de área foliar (IAF) de plantios de Eucalyptusgrandis x urophylla e índices de vegetação (IVs) de imagens TM - Landsat 5. O estudo foi realizado em plantios com diferentes idades localizados na porção mineira da bacia hidrográfica do rio Doce, entre os anos de 2008 e 2011. O IAF foi medido em campo, de forma não destrutiva, com o equipamento LAI-2000. Os IVs utilizados foram o Normalized Difference Vegetation Index (NDVI), o Soil Adjusted Vegetation Index (SAVI) e o Simple Ratio (SR). O melhor modelo foi ajustado a partir do NDVI, com coeficiente de determinação de 0,73 e erro quadrático médio da raiz de 0,37 m² m–2(19%). Pode-se concluir que os valores de IAF podem ser estimados pelos modelos de regressão ajustados a partir dos IVs derivados do TM - Landsat.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="90023d553b95ac220ba45aeff297e0dd" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88920632,"asset_id":83643127,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88920632/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83643127"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83643127"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83643127; 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