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class="material-icons">remove_circle_outline</i> </a> <label> Tunisia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_CHILE"> <i class="material-icons">remove_circle_outline</i> </a> <label> Chile </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_COLOMBIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Colombia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_PERU"> <i class="material-icons">remove_circle_outline</i> </a> <label> Peru </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_ARGENTINA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Argentina </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_UNITED_ARAB_EMIRATES"> <i class="material-icons">remove_circle_outline</i> </a> <label> United Arab Emirates </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_CZECH_REPUBLIC"> <i class="material-icons">remove_circle_outline</i> </a> <label> Czech Republic </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_ROMANIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Romania </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_SLOVENIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Slovenia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_ECUADOR"> <i class="material-icons">remove_circle_outline</i> </a> <label> Ecuador </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_AFGHANISTAN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Afghanistan </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_DENMARK"> <i class="material-icons">remove_circle_outline</i> </a> <label> Denmark </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_LEBANON"> <i class="material-icons">remove_circle_outline</i> </a> <label> Lebanon </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_LITHUANIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Lithuania </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_SWEDEN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Sweden </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_TAIWAN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Taiwan </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_ALBANIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Albania </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_HUNGARY"> <i class="material-icons">remove_circle_outline</i> </a> <label> Hungary </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_SLOVAKIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Slovakia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_BELARUS"> <i class="material-icons">remove_circle_outline</i> </a> <label> Belarus </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_BULGARIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Bulgaria </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_SYRIAN_ARAB_REPUBLIC"> <i class="material-icons">remove_circle_outline</i> </a> <label> Syrian Arab Republic </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_KOREA_REPUBLIC_OF"> <i class="material-icons">remove_circle_outline</i> </a> <label> Republic of Korea </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_BANGLADESH"> <i class="material-icons">remove_circle_outline</i> </a> <label> Bangladesh </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_BENIN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Benin </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_ETHIOPIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Ethiopia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_ISRAEL"> <i class="material-icons">remove_circle_outline</i> </a> <label> Israel </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_KAZAKHSTAN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Kazakhstan </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_LATVIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Latvia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_MONGOLIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Mongolia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_NEW_ZEALAND"> <i class="material-icons">remove_circle_outline</i> </a> <label> New Zealand </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_PHILIPPINES"> <i class="material-icons">remove_circle_outline</i> </a> <label> Philippines </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_THAILAND"> <i class="material-icons">remove_circle_outline</i> </a> <label> Thailand </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_NORTH_MACEDONIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> North Macedonia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_MONTENEGRO"> <i class="material-icons">remove_circle_outline</i> </a> <label> Montenegro </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_AZERBAIJAN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Azerbaijan </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_BOSNIA_AND_HERZEGOVINA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Bosnia and Herzegovina </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_ESTONIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Estonia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_IRAQ"> <i class="material-icons">remove_circle_outline</i> </a> <label> Iraq </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_KENYA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Kenya </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_LUXEMBOURG"> <i class="material-icons">remove_circle_outline</i> </a> <label> Luxembourg </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_MALAYSIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Malaysia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_NEPAL"> <i class="material-icons">remove_circle_outline</i> </a> <label> Nepal </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_OMAN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Oman </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_ALGERIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Algeria </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_BHUTAN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Bhutan </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_BOLIVIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Bolivia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_CAMBODIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Cambodia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_CAMEROON"> <i class="material-icons">remove_circle_outline</i> </a> <label> Cameroon </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_CAPE_VERDE"> <i class="material-icons">remove_circle_outline</i> </a> <label> Cape Verde </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_COSTA_RICA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Costa Rica </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_DOMINICAN_REPUBLIC"> <i class="material-icons">remove_circle_outline</i> </a> <label> Dominican Republic </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_GHANA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Ghana </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_GUATEMALA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Guatemala </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_HONDURAS"> <i class="material-icons">remove_circle_outline</i> </a> <label> Honduras </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_ICELAND"> <i class="material-icons">remove_circle_outline</i> </a> <label> Iceland </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_JORDAN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Jordan </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_KUWAIT"> <i class="material-icons">remove_circle_outline</i> </a> <label> Kuwait </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_KYRGYZSTAN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Kyrgyzstan </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_LIBYAN_ARAB_JAMAHIRIYA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Libya </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_MALAWI"> <i class="material-icons">remove_circle_outline</i> </a> <label> Malawi </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_MOLDOVA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Moldova </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_PANAMA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Panama </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_PUERTO_RICO"> <i class="material-icons">remove_circle_outline</i> </a> <label> Puerto Rico </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_SRI_LANKA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Sri Lanka </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_TIMOR-LESTE"> <i class="material-icons">remove_circle_outline</i> </a> <label> Timor-Leste </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_UGANDA"> <i 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for="refine_countries_SLOVAKIA">Slovakia (5)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="belarus" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_BELARUS" value="BELARUS"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_BELARUS">Belarus (4)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="bulgaria" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_BULGARIA" value="BULGARIA"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_BULGARIA">Bulgaria (4)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="syrian arab republic" style="padding-top: 0px; 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refine_countries" id="refine_countries_BANGLADESH" value="BANGLADESH"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_BANGLADESH">Bangladesh (3)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="benin" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_BENIN" value="BENIN"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_BENIN">Benin (3)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="ethiopia" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_ETHIOPIA" value="ETHIOPIA"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_ETHIOPIA">Ethiopia (3)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="israel" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_ISRAEL" value="ISRAEL"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_ISRAEL">Israel (3)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="kazakhstan" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_KAZAKHSTAN" value="KAZAKHSTAN"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_KAZAKHSTAN">Kazakhstan (3)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="latvia" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_LATVIA" value="LATVIA"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_LATVIA">Latvia (3)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="mongolia" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_MONGOLIA" value="MONGOLIA"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_MONGOLIA">Mongolia (3)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="new zealand" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_NEW_ZEALAND" value="NEW_ZEALAND"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_NEW_ZEALAND">New 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margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_NORTH_MACEDONIA" value="NORTH_MACEDONIA"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_NORTH_MACEDONIA">North Macedonia (3)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="montenegro" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_MONTENEGRO" value="MONTENEGRO"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_MONTENEGRO">Montenegro (3)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="azerbaijan" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_AZERBAIJAN" value="AZERBAIJAN"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_AZERBAIJAN">Azerbaijan (2)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="bosnia and herzegovina" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_BOSNIA_AND_HERZEGOVINA" value="BOSNIA_AND_HERZEGOVINA"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_BOSNIA_AND_HERZEGOVINA">Bosnia and Herzegovina (2)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="estonia" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_ESTONIA" value="ESTONIA"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_ESTONIA">Estonia (2)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="iraq" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_IRAQ" value="IRAQ"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_IRAQ">Iraq (2)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="kenya" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_KENYA" value="KENYA"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_KENYA">Kenya (2)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="luxembourg" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_LUXEMBOURG" value="LUXEMBOURG"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_LUXEMBOURG">Luxembourg (2)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="malaysia" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_MALAYSIA" value="MALAYSIA"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_MALAYSIA">Malaysia (2)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="nepal" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_NEPAL" value="NEPAL"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_NEPAL">Nepal (2)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="oman" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_OMAN" value="OMAN"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_OMAN">Oman (2)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="algeria" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_ALGERIA" value="ALGERIA"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_ALGERIA">Algeria (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="bhutan" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_BHUTAN" value="BHUTAN"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_BHUTAN">Bhutan (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="bolivia" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_BOLIVIA" value="BOLIVIA"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_BOLIVIA">Bolivia (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="cambodia" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_CAMBODIA" value="CAMBODIA"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_CAMBODIA">Cambodia (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="cameroon" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_CAMEROON" value="CAMEROON"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_CAMEROON">Cameroon (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="cape verde" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_CAPE_VERDE" value="CAPE_VERDE"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_CAPE_VERDE">Cape Verde (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="costa rica" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_COSTA_RICA" value="COSTA_RICA"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_COSTA_RICA">Costa Rica (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="dominican republic" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_DOMINICAN_REPUBLIC" value="DOMINICAN_REPUBLIC"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_DOMINICAN_REPUBLIC">Dominican Republic (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="ghana" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_GHANA" value="GHANA"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_GHANA">Ghana (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="guatemala" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_GUATEMALA" value="GUATEMALA"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_GUATEMALA">Guatemala (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="honduras" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_HONDURAS" value="HONDURAS"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_HONDURAS">Honduras (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="iceland" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_ICELAND" value="ICELAND"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_ICELAND">Iceland (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="jordan" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_JORDAN" value="JORDAN"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_JORDAN">Jordan (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="kuwait" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_KUWAIT" value="KUWAIT"> <label 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small-12 columns end js-data-filter" data-filter="malawi" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_MALAWI" value="MALAWI"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_MALAWI">Malawi (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="moldova" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_MOLDOVA" value="MOLDOVA"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_MOLDOVA">Moldova (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="panama" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_PANAMA" value="PANAMA"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_PANAMA">Panama (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="puerto rico" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_PUERTO_RICO" value="PUERTO_RICO"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_PUERTO_RICO">Puerto Rico (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="sri lanka" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_SRI_LANKA" value="SRI_LANKA"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_SRI_LANKA">Sri Lanka (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="timor-leste" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_TIMOR-LESTE" value="TIMOR-LESTE"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_TIMOR-LESTE">Timor-Leste (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="uganda" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_UGANDA" value="UGANDA"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_UGANDA">Uganda (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="uruguay" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_URUGUAY" value="URUGUAY"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_URUGUAY">Uruguay (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="vietnam" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_VIETNAM" value="VIETNAM"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_VIETNAM">Vietnam (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="zambia" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_ZAMBIA" value="ZAMBIA"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_ZAMBIA">Zambia (1)</label> </div> 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style="font-size: 12px; color: #1a1a1a;"> 1 pages, 129 KiB &nbsp; </span> <a href="/2673-4931/29/1/84/pdf?version=1719392379" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Statement of Peer Review" data-journal="environsciproc"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Editorial</span></div> <a class="title-link" href="/2673-4931/29/1/84">Statement of Peer Review</a> <div class="authors"> by <span class="inlineblock "><strong>Alexander Kokhanovsky</strong></span> </div> <div class="color-grey-dark"> <em>Environ. 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Lupo</strong></span> </div> <div class="color-grey-dark"> <em>Environ. Sci. Proc.</em> <b>2023</b>, <em>27</em>(1), 39; <a href="https://doi.org/10.3390/ecas2023027039">https://doi.org/10.3390/ecas2023027039</a> - 19 Jun 2024 </div> Viewed by 376 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-full inline"> In submitting conference proceedings to <i>Environmental Sciences Proceedings</i>, the volume editors of the proceedings certify to the publisher that all papers published in this volume have been subjected to peer review administered by the volume editors [...] <a href="/2673-4931/27/1/39">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Proceedings of <a href="/2673-4931/27/1">The 6th International Electronic Conference on Atmospheric Sciences</a>)<br/> </div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1422105" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 3 pages, 345 KiB &nbsp; </span> <a href="/2673-4931/29/1/85/pdf?version=1719380089" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Preface: The 5th International Electronic Conference on Remote Sensing" data-journal="environsciproc"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Editorial</span></div> <a class="title-link" href="/2673-4931/29/1/85">Preface: The 5th International Electronic Conference on Remote Sensing</a> <div class="authors"> by <span class="inlineblock "><strong>Alexander Kokhanovsky</strong></span> </div> <div class="color-grey-dark"> <em>Environ. Sci. Proc.</em> <b>2024</b>, <em>29</em>(1), 85; <a href="https://doi.org/10.3390/ECRS2023029085">https://doi.org/10.3390/ECRS2023029085</a> - 19 Jun 2024 </div> Viewed by 1376 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-full inline"> The 5th International Electronic Conference on Remote Sensing, with a focus on &ldquo;Advances in experimental and theoretical studies of the terrestrial atmosphere and underlying surface&rdquo; was held on 7&ndash;21 November 2023 [...] <a href="/2673-4931/29/1/85">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Proceedings of <a href="/2673-4931/29/1">ECRS 2023</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2673-4931/29/1/85/show" ><span >&#9658;</span><span style=" display: none;">&#9660;</span> Show Figures </a><div class="abstract-image-preview "><div class="absgraph cycle-slideshow"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1422105-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00085/article_deploy/html/images/environsciproc-29-00085-g001-550.jpg?1719380156" alt="" style="border: 0;"><p>Figure 1</p></div></div></div><div id="article-1422105-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00085/article_deploy/html/images/environsciproc-29-00085-g001-550.jpg?1719380156" title=" <strong>Figure 1</strong><br/> &lt;p&gt;Media partners.&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/29/1/85'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1422092" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 4 pages, 215 KiB &nbsp; </span> <a href="/2673-4931/27/1/40/pdf?version=1719374145" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Preface: 6th International Electronic Conference on Atmospheric Sciences" data-journal="environsciproc"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Editorial</span></div> <a class="title-link" href="/2673-4931/27/1/40">Preface: 6th International Electronic Conference on Atmospheric Sciences</a> <div class="authors"> by <span class="inlineblock "><strong>Anthony R. Lupo</strong></span> </div> <div class="color-grey-dark"> <em>Environ. Sci. Proc.</em> <b>2023</b>, <em>27</em>(1), 40; <a href="https://doi.org/10.3390/ecas2023027040">https://doi.org/10.3390/ecas2023027040</a> - 19 Jun 2024 </div> Viewed by 421 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-full inline"> The sixth International Electronic Conference on Atmospheric Sciences, the range of topics will remain more general, but we are open to subject areas with a thematic topic of importance, especially interdisciplinary or transdisciplinary science [...] <a href="/2673-4931/27/1/40">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Proceedings of <a href="/2673-4931/27/1">The 6th International Electronic Conference on Atmospheric Sciences</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2673-4931/27/1/40/show" ><span >&#9658;</span><span style=" display: none;">&#9660;</span> Show Figures </a><div class="abstract-image-preview "><div class="absgraph cycle-slideshow"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1422092-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/environsciproc/environsciproc-27-00040/article_deploy/html/images/environsciproc-27-00040-g001-550.jpg?1719374227" alt="" style="border: 0;"><p>Figure 1</p></div></div></div><div id="article-1422092-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-27-00040/article_deploy/html/images/environsciproc-27-00040-g001-550.jpg?1719374227" title=" <strong>Figure 1</strong><br/> &lt;p&gt;Media Partners.&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/27/1/40'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1409796" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 6 pages, 1874 KiB &nbsp; </span> <a href="/2673-4931/29/1/70/pdf?version=1717665095" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Synergy of CALIOP and Ground-Based Solar Radiometer Data to Study Statistical Characteristics of Aerosols in Regions with a Low Aerosol Load" data-journal="environsciproc"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Proceeding Paper</span></div> <a class="title-link" href="/2673-4931/29/1/70">Synergy of CALIOP and Ground-Based Solar Radiometer Data to Study Statistical Characteristics of Aerosols in Regions with a Low Aerosol Load</a> <div class="authors"> by <span class="inlineblock "><strong>Anatoli Chaikovsky</strong>, </span><span class="inlineblock "><strong>Andrey Bril</strong>, </span><span class="inlineblock "><strong>Philippe Goloub</strong>, </span><span class="inlineblock "><strong>Zhengqiang Li</strong>, </span><span class="inlineblock "><strong>Vladislav Peshcherenkov</strong>, </span><span class="inlineblock "><strong>Fiodar Asipenka</strong>, </span><span class="inlineblock "><strong>Luc Blarel</strong>, </span><span class="inlineblock "><strong>Gael Dubois</strong>, </span><span class="inlineblock "><strong>Mikhail Korol</strong>, </span><span class="inlineblock "><strong>Aliaksandr Lapionak</strong>, </span><span class="inlineblock "><strong>Aleksey Malinka</strong>, </span><span class="inlineblock "><strong>Natallia Miatselskaya</strong>, </span><span class="inlineblock "><strong>Thierry Podvin</strong> and </span><span class="inlineblock "><strong>Ying Zhang</strong></span> </div> <div class="color-grey-dark"> <em>Environ. Sci. Proc.</em> <b>2024</b>, <em>29</em>(1), 70; <a href="https://doi.org/10.3390/ECRS2023-16860">https://doi.org/10.3390/ECRS2023-16860</a> - 6 Jun 2024 </div> Viewed by 750 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> The statistical characteristics of combined lidar and radiometric measurements obtained from satellite lidar CALIOP and ground-based sun-radiometer stations were used as input datasets to retrieve the altitude profiles of aerosol parameters (LRS-C technique). The signal-to-noise ratio of the input satellite lidar signals increased <a href="#" data-counterslink = "https://www.mdpi.com/2673-4931/29/1/70/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> The statistical characteristics of combined lidar and radiometric measurements obtained from satellite lidar CALIOP and ground-based sun-radiometer stations were used as input datasets to retrieve the altitude profiles of aerosol parameters (LRS-C technique). The signal-to-noise ratio of the input satellite lidar signals increased when averaging over a large array of measured data. An algorithm and software package for processing the input dataset of the LRS-C sounding of atmospheric aerosol in regions with medium and low aerosol loads was developed. This paper presents the results of studying long-term changes in the concentration profiles of aerosol modes in regions of East Europe (AERONET site <i>Minsk</i>, 53.92&deg; N, 27.60&deg; E) and East Antarctic (AERONET site <i>Vechernaya Hill</i>, 67.66&deg; S, 46.16&deg; E). <a href="/2673-4931/29/1/70">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Proceedings of <a href="/2673-4931/29/1">ECRS 2023</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2673-4931/29/1/70/show" ><span >&#9658;</span><span style=" display: none;">&#9660;</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1409796"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1409796"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1409796" data-cycle-prev="#prev1409796" data-cycle-progressive="#images1409796" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1409796-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00070/article_deploy/html/images/environsciproc-29-00070-g001-550.jpg?1717665256" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1409796" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1409796-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/environsciproc/environsciproc-29-00070/article_deploy/html/images/environsciproc-29-00070-g002-550.jpg?1717665258'><p>Figure 2</p></div> --- <div class='openpopupgallery' data-imgindex='2' data-target='article-1409796-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/environsciproc/environsciproc-29-00070/article_deploy/html/images/environsciproc-29-00070-g003-550.jpg?1717665260'><p>Figure 3</p></div> --- <div class='openpopupgallery' data-imgindex='3' data-target='article-1409796-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/environsciproc/environsciproc-29-00070/article_deploy/html/images/environsciproc-29-00070-g004-550.jpg?1717665262'><p>Figure 4</p></div></script></div></div><div id="article-1409796-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00070/article_deploy/html/images/environsciproc-29-00070-g001-550.jpg?1717665256" title=" <strong>Figure 1</strong><br/> &lt;p&gt;Altitude profiles of the aerosol average volume concentrations, C&lt;span class=&quot;html-italic&quot;&gt;&lt;sub&gt;V&lt;/sub&gt;&lt;/span&gt; [cm&lt;sup&gt;3&lt;/sup&gt;/cm&lt;sup&gt;3&lt;/sup&gt;] (&lt;b&gt;a&lt;/b&gt;)—the three-mode aerosol model, (&lt;b&gt;b&lt;/b&gt;)—the two-mode aerosol model; horizontal bars are uncertainties of concentration; the total number of overpass events, N = 1384; AOD = 0.15/0.11 (average/standard deviation, 532 nm).&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/29/1/70'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00070/article_deploy/html/images/environsciproc-29-00070-g002-550.jpg?1717665258" title=" <strong>Figure 2</strong><br/> &lt;p&gt;Seasonal changes in aerosol volume concentration profiles; similar to &lt;a href=&quot;#environsciproc-29-00070-f001&quot; class=&quot;html-fig&quot;&gt;Figure 1&lt;/a&gt;. (&lt;b&gt;a&lt;/b&gt;)—the three-mode aerosol model, (&lt;b&gt;b&lt;/b&gt;)—the two-mode aerosol model. Additional letters, S/W, indicate half-year seasons: S − Apr. &lt;math display=&quot;inline&quot;&gt;&lt;semantics&gt; &lt;mrow&gt; &lt;mo&gt;÷&lt;/mo&gt; &lt;/mrow&gt; &lt;/semantics&gt;&lt;/math&gt; Sept., N = 709; AOD = 0.16/0.12; W − Oct. &lt;math display=&quot;inline&quot;&gt;&lt;semantics&gt; &lt;mrow&gt; &lt;mo&gt;÷&lt;/mo&gt; &lt;/mrow&gt; &lt;/semantics&gt;&lt;/math&gt; March; N = 675; AOD (532) = 0.13/0.10.&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/29/1/70'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00070/article_deploy/html/images/environsciproc-29-00070-g003-550.jpg?1717665260" title=" <strong>Figure 3</strong><br/> &lt;p&gt;Temporal variations in aerosol mode volume concentration profiles; similar to &lt;a href=&quot;#environsciproc-29-00070-f001&quot; class=&quot;html-fig&quot;&gt;Figure 1&lt;/a&gt;. (&lt;b&gt;a&lt;/b&gt;) Fine mode; (&lt;b&gt;b&lt;/b&gt;) coarse spherical mode; (&lt;b&gt;c&lt;/b&gt;) coarse spheroid mode. Time periods are indicated in the legends; N = 379; 415; 401; 188.&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/29/1/70'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00070/article_deploy/html/images/environsciproc-29-00070-g004-550.jpg?1717665262" title=" <strong>Figure 4</strong><br/> &lt;p&gt;(&lt;b&gt;a&lt;/b&gt;) Altitude profiles of the aerosol average volume concentrations, (F) fine mode, (C) coarse mode; N = 482; AOD = 0.045/0.017. (&lt;b&gt;b&lt;/b&gt;) Temporal changes in column concentrations of fine aerosol mode. The boundaries of the aerosol layers are indicated in the legend of the diagram.&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/29/1/70'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1409793" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 10 pages, 4007 KiB &nbsp; </span> <a href="/2673-4931/29/1/71/pdf?version=1717661909" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Dynamic Analysis of Water Surface Extent and Climate Change Parameters in Zarivar Lake, Iran" data-journal="environsciproc"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Proceeding Paper</span></div> <a class="title-link" href="/2673-4931/29/1/71">Dynamic Analysis of Water Surface Extent and Climate Change Parameters in Zarivar Lake, Iran</a> <div class="authors"> by <span class="inlineblock "><strong>Ehsan Rostami</strong>, </span><span class="inlineblock "><strong>Rasool Vahid</strong>, </span><span class="inlineblock "><strong>Arastou Zarei</strong> and </span><span class="inlineblock "><strong>Meisam Amani</strong></span> </div> <div class="color-grey-dark"> <em>Environ. Sci. Proc.</em> <b>2024</b>, <em>29</em>(1), 71; <a href="https://doi.org/10.3390/ECRS2023-17345">https://doi.org/10.3390/ECRS2023-17345</a> - 18 Apr 2024 </div> <a href="/2673-4931/29/1/71#metrics">Cited by 1</a> |&nbsp;Viewed by 686 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> Wetlands are valuable natural resources that provide many services to both the environment and humans. Over the past several decades, climatic change and human activities have had a considerable impact on the water level of wetlands. Zarivar Lake, located in the northwestern region <a href="#" data-counterslink = "https://www.mdpi.com/2673-4931/29/1/71/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> Wetlands are valuable natural resources that provide many services to both the environment and humans. Over the past several decades, climatic change and human activities have had a considerable impact on the water level of wetlands. Zarivar Lake, located in the northwestern region of Iran, represents a significant ecological unit and aquatic ecosystem. In this study, from 2015 to 2022, the relationship between seasonal changes in Zarivar Lake&rsquo;s waterbody (LWB) area and weather factors like precipitation, evapotranspiration, and the temperature of the lake&rsquo;s surface water (LSWT) were examined. For this purpose, the Google Earth Engine (GEE) cloud platform, a powerful and fast tool for processing the time series of images, was used. The LWB was extracted by utilizing the average images of the dual-polarized SAR Sentinel-1 imagery for each season. Furthermore, meteorological parameters encompass the utilization of the Landsat-8 satellite&rsquo;s thermal band to determine LSWT by using statistical mono-window (SMW), the CHIRPS rainfall model data for assessing precipitation levels, and the employment of MODIS evapotranspiration products in the form of 8-day data. The study revealed significant correlations between variations in Zarivar Lake&rsquo;s waterbody area and meteorological factors. Correlation coefficients indicated a positive relationship between LWB area and precipitation during the winter (<i>r</i> = 0.67) and spring (<i>r</i> = 0.73), while weaker positive correlations were observed in the summer (<i>r</i> = 0.29) and fall (<i>r</i> = 0.30). Conversely, the LWB area showed a relative relationship with LSWT, with positive correlations in winter (<i>r</i> = 0.10) and spring (<i>r</i> = 0.26), and negative correlations in summer (<i>r</i> = &minus;0.30) and fall (<i>r</i> = &minus;0.07). Additionally, evapotranspiration parameters aligned with precipitation changes throughout the seasons, highlighting the significant influence of climate on Zarivar Lake. <a href="/2673-4931/29/1/71">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Proceedings of <a href="/2673-4931/29/1">ECRS 2023</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2673-4931/29/1/71/show" ><span >&#9658;</span><span style=" display: none;">&#9660;</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1409793"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1409793"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1409793" data-cycle-prev="#prev1409793" data-cycle-progressive="#images1409793" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1409793-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00071/article_deploy/html/images/environsciproc-29-00071-g001-550.jpg?1717661991" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1409793" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1409793-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/environsciproc/environsciproc-29-00071/article_deploy/html/images/environsciproc-29-00071-g002-550.jpg?1717661994'><p>Figure 2</p></div> --- <div class='openpopupgallery' data-imgindex='2' data-target='article-1409793-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/environsciproc/environsciproc-29-00071/article_deploy/html/images/environsciproc-29-00071-g003-550.jpg?1717661995'><p>Figure 3</p></div> --- <div class='openpopupgallery' data-imgindex='3' data-target='article-1409793-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/environsciproc/environsciproc-29-00071/article_deploy/html/images/environsciproc-29-00071-g004-550.jpg?1717661997'><p>Figure 4</p></div> --- <div class='openpopupgallery' data-imgindex='4' data-target='article-1409793-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/environsciproc/environsciproc-29-00071/article_deploy/html/images/environsciproc-29-00071-g005-550.jpg?1717662000'><p>Figure 5</p></div> --- <div class='openpopupgallery' data-imgindex='5' data-target='article-1409793-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/environsciproc/environsciproc-29-00071/article_deploy/html/images/environsciproc-29-00071-g006-550.jpg?1717662002'><p>Figure 6</p></div></script></div></div><div id="article-1409793-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00071/article_deploy/html/images/environsciproc-29-00071-g001-550.jpg?1717661991" title=" <strong>Figure 1</strong><br/> &lt;p&gt;Location of Zarivar Lake in the district of Kurdistan province.&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/29/1/71'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00071/article_deploy/html/images/environsciproc-29-00071-g002-550.jpg?1717661994" title=" <strong>Figure 2</strong><br/> &lt;p&gt;The flowchart of the applied methodology for LWB.&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/29/1/71'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00071/article_deploy/html/images/environsciproc-29-00071-g003-550.jpg?1717661995" title=" <strong>Figure 3</strong><br/> &lt;p&gt;(&lt;b&gt;a&lt;/b&gt;) LWB map, (&lt;b&gt;b&lt;/b&gt;) charts of LWB area.&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/29/1/71'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00071/article_deploy/html/images/environsciproc-29-00071-g004-550.jpg?1717661997" title=" <strong>Figure 4</strong><br/> &lt;p&gt;Charts of relationship between LWB area and precipitation.&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/29/1/71'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00071/article_deploy/html/images/environsciproc-29-00071-g005-550.jpg?1717662000" title=" <strong>Figure 5</strong><br/> &lt;p&gt;Charts of relationship between LWB area and LSWT.&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/29/1/71'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00071/article_deploy/html/images/environsciproc-29-00071-g006-550.jpg?1717662002" title=" <strong>Figure 6</strong><br/> &lt;p&gt;Charts of relationship between LWB area and evapotranspiration.&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/29/1/71'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1416752" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 4101 KiB &nbsp; </span> <a href="/2673-4931/29/1/78/pdf?version=1718688851" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Generating Super Spatial Resolution Products from Sentinel-2 Satellite Images" data-journal="environsciproc"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Proceeding Paper</span></div> <a class="title-link" href="/2673-4931/29/1/78">Generating Super Spatial Resolution Products from Sentinel-2 Satellite Images</a> <div class="authors"> by <span class="inlineblock "><strong>Mohammad Reza Zargar</strong> and </span><span class="inlineblock "><strong>Mahdi Hasanlou</strong></span> </div> <div class="color-grey-dark"> <em>Environ. Sci. Proc.</em> <b>2024</b>, <em>29</em>(1), 78; <a href="https://doi.org/10.3390/ECRS2023-16889">https://doi.org/10.3390/ECRS2023-16889</a> - 27 Mar 2024 </div> Viewed by 615 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> Access to high spatial resolution satellite images enables more accurate and detailed analysis of these images. Furthermore, it facilitates easier decision-making on a wide range of issues. Nevertheless, there are commercial satellites such as Worldview that have provided a spatial resolution of fewer <a href="#" data-counterslink = "https://www.mdpi.com/2673-4931/29/1/78/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> Access to high spatial resolution satellite images enables more accurate and detailed analysis of these images. Furthermore, it facilitates easier decision-making on a wide range of issues. Nevertheless, there are commercial satellites such as Worldview that have provided a spatial resolution of fewer than 2.0 m, but using them for large areas or multi-temporal analysis of an area brings huge costs. Thus, to tackle these limitations and access free satellite images with a higher spatial resolution, there are challenges that are known as single-image super-resolution (SISR). The Sentinel-2 satellites were launched by the European Space Agency (ESA) to monitor the Earth, which has enabled access to free multi-spectral images, five-day time coverage, and global spatial coverage to be among the achievements of this launch. Also, it led to the creation of a new flow in the field of space businesses. These satellites have provided bands with various spatial resolutions, and the Red, Green, Blue, and NIR bands have the highest spatial resolution by 10 m. In this study, therefore, to recover high-frequency details, increase the spatial resolution, and cut down costs, Sentinel-2 images have been considered. Additionally, a model based on Enhanced Super-Resolution Generative Adversarial Network (ESRGAN) has been introduced to increase the resolution of 10 m RGB bands to 2.5 m. In the proposed model, several spatial features were extracted to prevent pixelation in the super-resolved image and were utilized in the model computations. Also, since there is no way to obtain higher-resolution (HR) images in the conditions of the Sentinel-2 acquisition image, we preferred to simulate data instead, using a sensor with a higher spatial resolution that is similar in spectral bands to Sentinel-2 as a reference and HR image. Hence, Sentinel-Worldview image pairs were prepared, and the network was trained. Finally, the evaluation of the results obtained showed that while maintaining the visual appearance, it was able to maintain some spectral features of the image as well. The average Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Spectral Angle Mapper (SAM) metrics of the proposed model from the test dataset were 37.23 dB, 0.92, and 0.10 radians, respectively. <a href="/2673-4931/29/1/78">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Proceedings of <a href="/2673-4931/29/1">ECRS 2023</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2673-4931/29/1/78/show" ><span >&#9658;</span><span style=" display: none;">&#9660;</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1416752"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1416752"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1416752" data-cycle-prev="#prev1416752" data-cycle-progressive="#images1416752" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1416752-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00078/article_deploy/html/images/environsciproc-29-00078-g001-550.jpg?1718688944" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1416752" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1416752-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/environsciproc/environsciproc-29-00078/article_deploy/html/images/environsciproc-29-00078-g002-550.jpg?1718688944'><p>Figure 2</p></div> --- <div class='openpopupgallery' data-imgindex='2' data-target='article-1416752-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/environsciproc/environsciproc-29-00078/article_deploy/html/images/environsciproc-29-00078-g003-550.jpg?1718688948'><p>Figure 3</p></div> --- <div class='openpopupgallery' data-imgindex='3' data-target='article-1416752-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/environsciproc/environsciproc-29-00078/article_deploy/html/images/environsciproc-29-00078-g004-550.jpg?1718688950'><p>Figure 4</p></div></script></div></div><div id="article-1416752-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00078/article_deploy/html/images/environsciproc-29-00078-g001-550.jpg?1718688944" title=" <strong>Figure 1</strong><br/> &lt;p&gt;Sample of LR-HR pairs from the dataset.&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/29/1/78'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00078/article_deploy/html/images/environsciproc-29-00078-g002-550.jpg?1718688944" title=" <strong>Figure 2</strong><br/> &lt;p&gt;The order of computed features and their utilized elements.&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/29/1/78'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00078/article_deploy/html/images/environsciproc-29-00078-g003-550.jpg?1718688948" title=" <strong>Figure 3</strong><br/> &lt;p&gt;Visual comparison (RGB) of Worldview images (&lt;b&gt;a&lt;/b&gt;,&lt;b&gt;d&lt;/b&gt;), images super-resolved by the proposed model (&lt;b&gt;b&lt;/b&gt;,&lt;b&gt;e&lt;/b&gt;), and images super-resolved by ESRGAN (&lt;b&gt;c&lt;/b&gt;,&lt;b&gt;f&lt;/b&gt;); the values of PSNR, SSIM and SAM are provided, respectively: (&lt;b&gt;b&lt;/b&gt;) 38.07 dB/0.93/0.16 rad., (&lt;b&gt;c&lt;/b&gt;) 37.89 dB/0.93/0.16 rad., (&lt;b&gt;e&lt;/b&gt;) 34.80 dB/0.84/0.12 rad., (&lt;b&gt;f&lt;/b&gt;) 37.91 dB/0.91/0.09 rad.&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/29/1/78'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00078/article_deploy/html/images/environsciproc-29-00078-g004-550.jpg?1718688950" title=" <strong>Figure 4</strong><br/> &lt;p&gt;Comparison between the histograms of the red (&lt;b&gt;a&lt;/b&gt;,&lt;b&gt;d&lt;/b&gt;), green (&lt;b&gt;b&lt;/b&gt;,&lt;b&gt;e&lt;/b&gt;), and blue (&lt;b&gt;c&lt;/b&gt;,&lt;b&gt;f&lt;/b&gt;) bands from the images in &lt;a href=&quot;#environsciproc-29-00078-f003&quot; class=&quot;html-fig&quot;&gt;Figure 3&lt;/a&gt;. In each histogram, black, red, and blue colors correspond to worldview images, images super-resolved by the proposed model, and images super-resolved by ESRGAN, respectively.&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/29/1/78'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1416439" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 1774 KiB &nbsp; </span> <a href="/2673-4931/29/1/77/pdf?version=1718624608" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Hydrothermal Alteration Features Enhancement and Mapping Using High-Resolution Hyperspectral Data" data-journal="environsciproc"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Proceeding Paper</span></div> <a class="title-link" href="/2673-4931/29/1/77">Hydrothermal Alteration Features Enhancement and Mapping Using High-Resolution Hyperspectral Data</a> <div class="authors"> by <span class="inlineblock "><strong>Soufiane Hajaj</strong>, </span><span class="inlineblock "><strong>Abderrazak El Harti</strong>, </span><span class="inlineblock "><strong>Amine Jellouli</strong>, </span><span class="inlineblock "><strong>Saloua Mnissar Himyari</strong> and </span><span class="inlineblock "><strong>Abderrazak Hamzaoui</strong></span> </div> <div class="color-grey-dark"> <em>Environ. Sci. Proc.</em> <b>2024</b>, <em>29</em>(1), 77; <a href="https://doi.org/10.3390/ECRS2023-16888">https://doi.org/10.3390/ECRS2023-16888</a> - 27 Mar 2024 </div> Viewed by 514 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> Hydrothermal alteration mapping is considered as a widely adopted step in the mineral exploration of numerous ore deposits. In this work, the wavelength mapping and relative absorption band depth (RBD) method were applied to map hydrothermal alterations in a site from the abandoned <a href="#" data-counterslink = "https://www.mdpi.com/2673-4931/29/1/77/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> Hydrothermal alteration mapping is considered as a widely adopted step in the mineral exploration of numerous ore deposits. In this work, the wavelength mapping and relative absorption band depth (RBD) method were applied to map hydrothermal alterations in a site from the abandoned mine of Idikel, western Anti-Atlas, Morocco. Fe<sup>2+</sup>/Fe<sup>3+</sup>, Al-OH, and Mg-Fe-OH/CO<sub>3</sub> hydrothermal alteration minerals were targeted based on HyMap airborne imaging spectroscopy data. Using the wavelength mapping approach, the 900 to 1205 nm, 2094 to 2217 nm, and 2264 to 2318 nm ranges were selected to map Fe<sup>2+</sup>/Fe<sup>3+</sup>, Al-OH, and Mg-Fe-OH/CO<sub>3</sub> absorption features, respectively. By carefully selecting these spectral ranges, the study aimed to achieve the accurate and reliable mapping of hydrothermal alteration features. The highest interpolated depth of Al-OH features was matched with a major cluster of pixels at 2200 nm. The highest interpolated depth of Mg-Fe-OH/CO<sub>3</sub> was depicted at 2300 nm. The highest interpolated depth of Fe<sup>2+</sup>/Fe<sup>3+</sup> was depicted between 900 and 1000. The relative absorption band depth method was also applied to enhance the detectability of hydrothermal alteration minerals. This method involves assessing the depth of the absorption bands associated with the target minerals, allowing for a detailed characterization of the alteration features. The combination of both wavelength mapping and enhancement methods contributed to a comprehensive and robust hydrothermal alteration mapping process. The identification of Fe<sup>2+</sup>/Fe<sup>3+</sup>, Al-OH, and Mg-Fe-OH/CO<sub>3</sub> manifestations provided valuable insights into potential mineralization zones within the study area. Overall, this research contributes to the advancement of hydrothermal alteration mapping using hyperspectral data by selecting the required HyMap bands for mapping targeted alterations. The combination of wavelength mapping and enhancement methods proves to be a powerful approach for accurately identifying and characterizing hydrothermal alteration features using specific hyperspectral channels. The findings from this study can aid future mineral exploration endeavors in similar geological settings, providing valuable guidance for locating potential mineral resources in mountainous and challenging terrains. <a href="/2673-4931/29/1/77">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Proceedings of <a href="/2673-4931/29/1">ECRS 2023</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2673-4931/29/1/77/show" ><span >&#9658;</span><span style=" display: none;">&#9660;</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1416439"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1416439"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1416439" data-cycle-prev="#prev1416439" data-cycle-progressive="#images1416439" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1416439-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00077/article_deploy/html/images/environsciproc-29-00077-g001-550.jpg?1718624753" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1416439" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1416439-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/environsciproc/environsciproc-29-00077/article_deploy/html/images/environsciproc-29-00077-g002-550.jpg?1718624756'><p>Figure 2</p></div> --- <div class='openpopupgallery' data-imgindex='2' data-target='article-1416439-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/environsciproc/environsciproc-29-00077/article_deploy/html/images/environsciproc-29-00077-g003-550.jpg?1718624757'><p>Figure 3</p></div></script></div></div><div id="article-1416439-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00077/article_deploy/html/images/environsciproc-29-00077-g001-550.jpg?1718624753" title=" <strong>Figure 1</strong><br/> &lt;p&gt;Geological map of the Ameln Valley area [&lt;a href=&quot;#B9-environsciproc-29-00077&quot; class=&quot;html-bibr&quot;&gt;9&lt;/a&gt;].&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/29/1/77'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00077/article_deploy/html/images/environsciproc-29-00077-g002-550.jpg?1718624756" title=" <strong>Figure 2</strong><br/> &lt;p&gt;The results of the wavelength mapping and relative absorption band depth for the three targeted hydrothermal alteration features (i.e., Al-OH, Fe&lt;sup&gt;2+&lt;/sup&gt;/Fe&lt;sup&gt;3+&lt;/sup&gt;, and Mg-Fe-OH/CO&lt;sub&gt;3&lt;/sub&gt;, from the left to the right) in the study area.&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/29/1/77'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00077/article_deploy/html/images/environsciproc-29-00077-g003-550.jpg?1718624757" title=" <strong>Figure 3</strong><br/> &lt;p&gt;The plot of the absorption features’ depth as a function of the wavelength position for each result of the wavelength mapping for Al-OH (&lt;b&gt;A&lt;/b&gt;), Fe&lt;sup&gt;2+&lt;/sup&gt;/Fe&lt;sup&gt;3+&lt;/sup&gt; (&lt;b&gt;B&lt;/b&gt;), and Mg-Fe-OH/CO&lt;sub&gt;3&lt;/sub&gt; (&lt;b&gt;C&lt;/b&gt;) hydrothermal alteration minerals.&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/29/1/77'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1409896" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 7 pages, 2913 KiB &nbsp; </span> <a href="/2673-4931/29/1/73/pdf?version=1717665442" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Evaluation of CartoDEM with the Ice, Cloud, and Land Elevation Satellite-2 and Global Ecosystem Dynamics Investigation Spaceborne LiDAR Datasets for Parts of Plain Region in Moga District, Punjab" data-journal="environsciproc"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Proceeding Paper</span></div> <a class="title-link" href="/2673-4931/29/1/73">Evaluation of CartoDEM with the Ice, Cloud, and Land Elevation Satellite-2 and Global Ecosystem Dynamics Investigation Spaceborne LiDAR Datasets for Parts of Plain Region in Moga District, Punjab</a> <div class="authors"> by <span class="inlineblock "><strong>Ashutosh Bhardwaj</strong>, </span><span class="inlineblock "><strong>Hari Shanker Srivastava</strong> and </span><span class="inlineblock "><strong>Raghavendra Pratap Singh</strong></span> </div> <div class="color-grey-dark"> <em>Environ. Sci. Proc.</em> <b>2024</b>, <em>29</em>(1), 73; <a href="https://doi.org/10.3390/ECRS2023-16887">https://doi.org/10.3390/ECRS2023-16887</a> - 27 Mar 2024 </div> <a href="/2673-4931/29/1/73#metrics">Cited by 1</a> |&nbsp;Viewed by 716 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> The CartoDEM Version 3 Release 1 openly accessible datasets are currently the most reliable datasets for relatively plain regions in India specifically. The aim of the presented study is to evaluate CartoDEM with respect to two openly accessible spaceborne LiDAR datasets from two <a href="#" data-counterslink = "https://www.mdpi.com/2673-4931/29/1/73/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> The CartoDEM Version 3 Release 1 openly accessible datasets are currently the most reliable datasets for relatively plain regions in India specifically. The aim of the presented study is to evaluate CartoDEM with respect to two openly accessible spaceborne LiDAR datasets from two LiDAR sensors: the Advanced Topographic Laser Altimeter System (ATLAS) on board the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) and Global Ecosystem Dynamics Investigation (GEDI) over the International Space Station (ISS). The differences and deviations were computed for CartoDEM and LiDAR footprint elevations for the two datasets, namely, ICESat-2 and GEDI. The difference values were filtered for footprints with differences between 0 and 2.5 in the DEM and LiDAR elevation values. Besides this, an overall estimate was also calculated for the elevation values obtained over the surface, i.e., the ground, as well as objects such as the trees or buildings. The RMSEs were observed to be 1.16 m and 1.74 m for the ICESat-2 and GEDI datasets for the points/footprints on the terrain, whereas when considering similar parameters for the two datasets, the RMSEs were found to be 1.78 m and 5.48 m for the ICESat-2 and GEDI footprints on the surface (terrain/object), respectively. This study reveals that CartoDEM is highly accurate in the plain regions when validated with respect to the ICESat-2 datasets, which work via the photon counting technique. Further, it was observed that ICESat-2&rsquo;s performance is better than that of the GEDI mission for terrain height. Thus, it was observed that the spaceborne LiDAR datasets from ICESat-2 can be utilized for the validation of DEMs and can be useful for applications where an input to a DEM is required for engineering or modeling applications. <a href="/2673-4931/29/1/73">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Proceedings of <a href="/2673-4931/29/1">ECRS 2023</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2673-4931/29/1/73/show" ><span >&#9658;</span><span style=" display: none;">&#9660;</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1409896"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1409896"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1409896" data-cycle-prev="#prev1409896" data-cycle-progressive="#images1409896" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1409896-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00073/article_deploy/html/images/environsciproc-29-00073-g001-550.jpg?1717665527" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1409896" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1409896-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/environsciproc/environsciproc-29-00073/article_deploy/html/images/environsciproc-29-00073-g002-550.jpg?1717665530'><p>Figure 2</p></div> --- <div class='openpopupgallery' data-imgindex='2' data-target='article-1409896-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/environsciproc/environsciproc-29-00073/article_deploy/html/images/environsciproc-29-00073-g003-550.jpg?1717665532'><p>Figure 3</p></div></script></div></div><div id="article-1409896-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00073/article_deploy/html/images/environsciproc-29-00073-g001-550.jpg?1717665527" title=" <strong>Figure 1</strong><br/> &lt;p&gt;Footprints of the laser from the two sensors: (&lt;b&gt;a&lt;/b&gt;) GEDI Beams over Moga region; (&lt;b&gt;b&lt;/b&gt;) beam names/types; (&lt;b&gt;c&lt;/b&gt;) GEDI footprints over parts of Moga district; (&lt;b&gt;d&lt;/b&gt;) ICESat-2 footprints over parts of Moga district.&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/29/1/73'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00073/article_deploy/html/images/environsciproc-29-00073-g002-550.jpg?1717665530" title=" <strong>Figure 2</strong><br/> &lt;p&gt;Flowchart for evaluation of CartoDEM with ICESat-2 and GEDI spaceborne lidar datasets for parts of plain region in Moga district, Punjab.&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/29/1/73'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-29-00073/article_deploy/html/images/environsciproc-29-00073-g003-550.jpg?1717665532" title=" <strong>Figure 3</strong><br/> &lt;p&gt;ICESat-2 and GEDI footprint locations overlaid on CartoDEM Version 3 Release 1 dataset of Moga region in Punjab.&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/29/1/73'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1363074" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 1 pages, 140 KiB &nbsp; </span> <a href="/2673-4931/26/1/213/pdf?version=1711347177" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Statement of Peer Review" data-journal="environsciproc"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Editorial</span></div> <a class="title-link" href="/2673-4931/26/1/213">Statement of Peer Review</a> <div class="authors"> by <span class="inlineblock "><strong>Konstantinos Moustris</strong> and </span><span class="inlineblock "><strong>Nastos Panagiotis</strong></span> </div> <div class="color-grey-dark"> <em>Environ. Sci. Proc.</em> <b>2023</b>, <em>26</em>(1), 213; <a href="https://doi.org/10.3390/environsciproc2023026213">https://doi.org/10.3390/environsciproc2023026213</a> - 25 Mar 2024 </div> Viewed by 1051 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-full inline"> In submitting conference proceedings to <i>Environment Sciences Proceedings</i>, the volume editors of the proceedings certify to the publisher that all papers published in this volume have been subjected to peer review administered by the volume editors [...] <a href="/2673-4931/26/1/213">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Proceedings of <a href="/2673-4931/26/1">16th International Conference on Meteorology, Climatology and Atmospheric Physics&mdash;COMECAP 2023</a>)<br/> </div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1357445" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 4 pages, 4180 KiB &nbsp; </span> <a href="/2673-4931/28/1/32/pdf?version=1710482856" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Towards Modeling of the Landscape Evolution of Los Naranjos Archaeological Site, Honduras" data-journal="environsciproc"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Proceeding Paper</span></div> <a class="title-link" href="/2673-4931/28/1/32">Towards Modeling of the Landscape Evolution of Los Naranjos Archaeological Site, Honduras</a> <div class="authors"> by <span class="inlineblock "><strong>Nohemy Lizeth Rivera Gutiérrez</strong></span> </div> <div class="color-grey-dark"> <em>Environ. Sci. Proc.</em> <b>2023</b>, <em>28</em>(1), 32; <a href="https://doi.org/10.3390/environsciproc2023028032">https://doi.org/10.3390/environsciproc2023028032</a> - 15 Mar 2024 </div> Viewed by 840 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> Los Naranjos is an archaeological site inhabited since approximately 800 BC. The objective is to analyze the landscape of this site to understand the territorial, social, and cultural dynamics, along with its natural environment, since pre-Hispanic times. The methodology involves a documentary review <a href="#" data-counterslink = "https://www.mdpi.com/2673-4931/28/1/32/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> Los Naranjos is an archaeological site inhabited since approximately 800 BC. The objective is to analyze the landscape of this site to understand the territorial, social, and cultural dynamics, along with its natural environment, since pre-Hispanic times. The methodology involves a documentary review of investigations, and a search for mappings and reconstructions of previous studies, historical sources, and fieldwork. Preliminary results include a review of existing sources for model generation. <a href="/2673-4931/28/1/32">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Proceedings of <a href="/2673-4931/28/1">IV Conference on Geomatics Engineering</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2673-4931/28/1/32/show" ><span >&#9658;</span><span style=" display: none;">&#9660;</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1357445"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1357445"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1357445" data-cycle-prev="#prev1357445" data-cycle-progressive="#images1357445" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1357445-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/environsciproc/environsciproc-28-00032/article_deploy/html/images/environsciproc-28-00032-g001-550.jpg?1710482954" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1357445" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1357445-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/environsciproc/environsciproc-28-00032/article_deploy/html/images/environsciproc-28-00032-g002-550.jpg?1710482954'><p>Figure 2</p></div> --- <div class='openpopupgallery' data-imgindex='2' data-target='article-1357445-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/environsciproc/environsciproc-28-00032/article_deploy/html/images/environsciproc-28-00032-g003-550.jpg?1710482956'><p>Figure 3</p></div></script></div></div><div id="article-1357445-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-28-00032/article_deploy/html/images/environsciproc-28-00032-g001-550.jpg?1710482954" title=" <strong>Figure 1</strong><br/> &lt;p&gt;Topographic map of Los Naranjos and surroundings.&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/28/1/32'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-28-00032/article_deploy/html/images/environsciproc-28-00032-g002-550.jpg?1710482954" title=" <strong>Figure 2</strong><br/> &lt;p&gt;Investigations sequence in Los Naranjos.&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/28/1/32'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-28-00032/article_deploy/html/images/environsciproc-28-00032-g003-550.jpg?1710482956" title=" <strong>Figure 3</strong><br/> &lt;p&gt;Main Group structure (IV) and model [&lt;a href=&quot;#B9-environsciproc-28-00032&quot; class=&quot;html-bibr&quot;&gt;9&lt;/a&gt;].&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/28/1/32'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1352681" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 5 pages, 237 KiB &nbsp; </span> <a href="/2673-4931/28/1/31/pdf?version=1709800224" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Evaluation of Water Vapor-Weighted Mean Temperature Models in GNSS Station ACOR" data-journal="environsciproc"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Proceeding Paper</span></div> <a class="title-link" href="/2673-4931/28/1/31">Evaluation of Water Vapor-Weighted Mean Temperature Models in GNSS Station ACOR</a> <div class="authors"> by <span class="inlineblock "><strong>Raquel Perdiguer-López</strong>, </span><span class="inlineblock "><strong>José Luis Berné Valero</strong> and </span><span class="inlineblock "><strong>Natalia Garrido-Villen</strong></span> </div> <div class="color-grey-dark"> <em>Environ. Sci. Proc.</em> <b>2023</b>, <em>28</em>(1), 31; <a href="https://doi.org/10.3390/environsciproc2023028031">https://doi.org/10.3390/environsciproc2023028031</a> - 7 Mar 2024 </div> Viewed by 752 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> The delay of GNSS signals in the neutral atmosphere allow the determination of atmospheric water vapor. The conversion factor of the delay in the water vapor uses the water vapor-weighted mean temperature, <i>T<sub>m</sub></i>, which is a crucial parameter to improve the <a href="#" data-counterslink = "https://www.mdpi.com/2673-4931/28/1/31/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> The delay of GNSS signals in the neutral atmosphere allow the determination of atmospheric water vapor. The conversion factor of the delay in the water vapor uses the water vapor-weighted mean temperature, <i>T<sub>m</sub></i>, which is a crucial parameter to improve the quality of conversion. This study analyzed two different types of models: linear models such as Bevis, Mendes and Ortiz de Galisteo, and empirical models such as GPT2w, GPT3 and GWMT_D. The performance of the models was analyzed using the models as the source of <i>T<sub>m</sub></i> to obtain the precipitable water vapor (PWV), which was compared to a reference set of PWV obtained from a matched radiosonde site. The results show a better performance of the linear models, with the Bevis model achieving the best performance. <a href="/2673-4931/28/1/31">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Proceedings of <a href="/2673-4931/28/1">IV Conference on Geomatics Engineering</a>)<br/> </div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1352104" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 2 pages, 179 KiB &nbsp; </span> <a href="/2673-4931/28/1/30/pdf?version=1709713474" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Statement of Peer Review" data-journal="environsciproc"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Editorial</span></div> <a class="title-link" href="/2673-4931/28/1/30">Statement of Peer Review</a> <div class="authors"> by <span class="inlineblock "><strong>María Belén Benito Oterino</strong>, </span><span class="inlineblock "><strong>José Fernández Torres</strong>, </span><span class="inlineblock "><strong>Rosa María García Blanco</strong>, </span><span class="inlineblock "><strong>Jorge Miguel Gaspar Escribano</strong>, </span><span class="inlineblock "><strong>Miguel Ángel Manso Callejo</strong> and </span><span class="inlineblock "><strong>Antonio Vázquez Hoehne</strong></span> </div> <div class="color-grey-dark"> <em>Environ. Sci. Proc.</em> <b>2023</b>, <em>28</em>(1), 30; <a href="https://doi.org/10.3390/environsciproc2023028030">https://doi.org/10.3390/environsciproc2023028030</a> - 6 Mar 2024 </div> Viewed by 789 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-full inline"> In submitting conference proceedings to <i>Environment Sciences Proceedings</i>, the volume editors of these proceedings certify to the publisher that all papers published in this volume have been subjected to peer review administered by the volume editors [...] <a href="/2673-4931/28/1/30">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Proceedings of <a href="/2673-4931/28/1">IV Conference on Geomatics Engineering</a>)<br/> </div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1347595" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 5 pages, 1371 KiB &nbsp; </span> <a href="/2673-4931/28/1/29/pdf?version=1709109344" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Detection of Methane Point Sources with High-Resolution Satellites" data-journal="environsciproc"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Proceeding Paper</span></div> <a class="title-link" href="/2673-4931/28/1/29">Detection of Methane Point Sources with High-Resolution Satellites</a> <div class="authors"> by <span class="inlineblock "><strong>Itziar Irakulis-Loitxate</strong>, </span><span class="inlineblock "><strong>Javier Roger</strong>, </span><span class="inlineblock "><strong>Javier Gorroño</strong>, </span><span class="inlineblock "><strong>Adriana Valverde</strong> and </span><span class="inlineblock "><strong>Luis Guanter</strong></span> </div> <div class="color-grey-dark"> <em>Environ. Sci. Proc.</em> <b>2023</b>, <em>28</em>(1), 29; <a href="https://doi.org/10.3390/environsciproc2023028029">https://doi.org/10.3390/environsciproc2023028029</a> - 26 Feb 2024 </div> Viewed by 1297 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> Methane is the second most important anthropogenic greenhouse gas, whose emissions need to be mitigated to curb global warming. There is a large uncertainty about its point source, but thanks to a new generation of high-spatial-resolution satellites, this situation is changing drastically, revealing <a href="#" data-counterslink = "https://www.mdpi.com/2673-4931/28/1/29/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> Methane is the second most important anthropogenic greenhouse gas, whose emissions need to be mitigated to curb global warming. There is a large uncertainty about its point source, but thanks to a new generation of high-spatial-resolution satellites, this situation is changing drastically, revealing thousands of emission point sources worldwide. In this paper, several hotspot areas are mapped, looking for methane emission point sources with different types of high-resolution satellites. Our results demonstrate the potential of satellite remote sensing to reveal methane emission point sources in different scenarios. <a href="/2673-4931/28/1/29">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Proceedings of <a href="/2673-4931/28/1">IV Conference on Geomatics Engineering</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2673-4931/28/1/29/show" ><span >&#9658;</span><span style=" display: none;">&#9660;</span> Show Figures </a><div class="abstract-image-preview "><div class="absgraph cycle-slideshow"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1347595-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/environsciproc/environsciproc-28-00029/article_deploy/html/images/environsciproc-28-00029-g001-550.jpg?1709109420" alt="" style="border: 0;"><p>Figure 1</p></div></div></div><div id="article-1347595-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-28-00029/article_deploy/html/images/environsciproc-28-00029-g001-550.jpg?1709109420" title=" <strong>Figure 1</strong><br/> &lt;p&gt;Methane emissions detected from different satellites over the same location in Algeria. In panel (&lt;b&gt;a&lt;/b&gt;), methane enhancement detected with TROPOMI on 21 July 2022 in the Hassi Messaoud oil and gas field. In (&lt;b&gt;b&lt;/b&gt;), the plume detected by PRISMA on the same day as a result of mapping the TROPOMI pinpointed area. In (&lt;b&gt;c&lt;/b&gt;–&lt;b&gt;e&lt;/b&gt;), the plumes detected by Sentinel-2 in the same location. The green dots indicate the point sources identified throughout the study. Image background from Google Earth.&lt;/p&gt; <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2673-4931/28/1/29'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1341993" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 5 pages, 578 KiB &nbsp; </span> <a href="/2673-4931/28/1/28/pdf?version=1708419132" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Preliminary Results of Satellite-Derived Nearshore Bathymetry" data-journal="environsciproc"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Proceeding Paper</span></div> <a class="title-link" href="/2673-4931/28/1/28">Preliminary Results of Satellite-Derived Nearshore Bathymetry</a> <div class="authors"> by <span class="inlineblock "><strong>Ausiàs Roch-Talens</strong>, </span><span class="inlineblock "><strong>Josep Eliseu Pardo-Pascual</strong> and </span><span class="inlineblock "><strong>Jaime Almonacid-Caballer</strong></span> </div> <div class="color-grey-dark"> <em>Environ. Sci. Proc.</em> <b>2023</b>, <em>28</em>(1), 28; <a href="https://doi.org/10.3390/environsciproc2023028028">https://doi.org/10.3390/environsciproc2023028028</a> - 15 Feb 2024 </div> Viewed by 841 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> This article presents the preliminary results of a study on satellite-derived bathymetry. The purpose of this research is to explore the use of remote sensing and optical imagery for mapping the depth of coastal waters. This study uses empirical models to estimate the <a href="#" data-counterslink = "https://www.mdpi.com/2673-4931/28/1/28/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> This article presents the preliminary results of a study on satellite-derived bathymetry. The purpose of this research is to explore the use of remote sensing and optical imagery for mapping the depth of coastal waters. This study uses empirical models to estimate the water depth based on the optical properties of the water column. To carry this out, it employs atmospheric correction algorithms to remove the influence of atmospheric scattering and absorption on the optical signals. The authors then apply the empirical models to the corrected imagery to obtain the bathymetric maps. The study shows promising results (RMSE ranging between 0.49 and 0.96m using the Lyzenga methodology), with the estimated depths generally consistent with the available ground-truth data. However, the accuracy of the estimated depths varies depending on the water conditions, such as the presence of waves and bottom type. The authors conclude that satellite-derived bathymetry has great potential for coastal applications, such as environmental monitoring and coastal management. <a href="/2673-4931/28/1/28">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Proceedings of <a href="/2673-4931/28/1">IV Conference on Geomatics Engineering</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2673-4931/28/1/28/show" ><span >&#9658;</span><span style=" display: none;">&#9660;</span> Show Figures </a><div class="abstract-image-preview "><div class="absgraph cycle-slideshow"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1341993-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/environsciproc/environsciproc-28-00028/article_deploy/html/images/environsciproc-28-00028-g001-550.jpg?1708419217" alt="" style="border: 0;"><p>Figure 1</p></div></div></div><div id="article-1341993-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/environsciproc/environsciproc-28-00028/article_deploy/html/images/environsciproc-28-00028-g001-550.jpg?1708419217" title=" <strong>Figure 1</strong><br/> &lt;p&gt;Study area in Son Bou beach with Neptune grass meadows clearly visible. 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