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Oral Session 10<\/a> | Thursday, October 6, 15:40\u201316:00 | Abstract 514<\/p>\n [\/et_pb_text][et_pb_text admin_label=”Extended abstracts” _builder_version=”4.18.0″ link_font=”||||on||||” header_3_font=”|800||on|||||” header_3_text_color=”#057184″ header_3_font_size=”20px” header_3_line_height=”1.3em” background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_margin=”7px||2px|||” custom_padding=”||15px|||” hover_enabled=”0″ use_border_color=”off” global_colors_info=”{}” link_text_color__hover=”#a5a5a5″ link_text_color__hover_enabled=”on|hover” sticky_enabled=”0″]<\/p>\n [\/et_pb_text][et_pb_text admin_label=”Extended abstracts” _builder_version=”4.18.0″ link_font=”||||on||||” header_3_font=”|800||on|||||” header_3_text_color=”#057184″ header_3_font_size=”20px” header_3_line_height=”1.2em” background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_margin=”7px|||||” hover_enabled=”0″ use_border_color=”off” global_colors_info=”{}” link_text_color__hover=”#a5a5a5″ link_text_color__hover_enabled=”on|hover” sticky_enabled=”0″]<\/p>\n Sentinel-2\/MSI and Landsat-8\/OLI sensors enable the mapping of colored dissolved organic matter (CDOM) from space. Most remote-sensing algorithms derive CDOM absorption (acdom) for inland waters at 440 nm, which is affected by the chlorophyll-a (Chl-a) absorption peak. This study aims to develop a new remote-sensing algorithm to estimate acdom in coastal water at 412 nm, a wavelength less affected by Chl-a absorption. Several types of empirical algorithms were tested on a mix of synthetic and in situ datasets collected from global coastal water. Two atmospheric correction algorithms (ACOLITE and Polymer) after application of top-of-atmosphere gains and noise propagation exercises, were tested. In addition, a scheme separating the water into two classes was proposed, allowing to better adapt the algorithms to different magnitudes of acdom. Based on a independent in situ validation data set, the selected empirical algorithm presents a mean absolute percentage difference (MAPD) of 31% for both sensors, and performs better than a recently published semi-analytical algorithm. The combination of ACOLITE with the selected bio-optical algorithm shows the best performance on match-up data, with 27% MAPD for MSI. An example of application of this algorithm is provided along Vietnamese coastal water. For that purpose, the selected algorithm was applied to a set of co-located MSI and OLI images over worldwide coastal locations. to derive a linear correction that converts acdom(412) Sentinel-2 outputs to Landsat-8, enabling a seamless combination of both products, even though only slight differences have been observed between the MSI and OLI products over co-located images.<\/p>\n *S\u01a1n Nguy\u1ec5n V\u0169<\/span><\/span><\/strong><\/a>, Laboratoire d\u2019Oc\u00e9anologie et de Geosciences, Universit\u00e9 du Littoral C\u00f4te d\u2019Opale, Universit\u00e9 de Lille, CNRS, IRD, UMR 8187, LOG<\/p>\n Hubert Loisel<\/a><\/span>, Laboratoire d\u2019Oc\u00e9anologie et de Geosciences, Universit\u00e9 du Littoral C\u00f4te d\u2019Opale, Universit\u00e9 de Lille, CNRS, IRD, UMR 8187, LOG; Vietnam Academy of Science and Technology, Space Technology Institute; LOTUS, Vietnam Academy of Science and Technology, University of Science and Technology of Hanoi<\/p>\n Lan Tran Dinh<\/a><\/span>, Vietnam Academy of Science and Technology, Institute of Marine Environment and Resources<\/p>\n Xavier Meriaux<\/a><\/span>, Laboratoire d\u2019Oc\u00e9anologie et de Geosciences, Universit\u00e9 du Littoral C\u00f4te d\u2019Opale, Universit\u00e9 de Lille, CNRS, IRD, UMR 8187, LOG<\/p>\n Dat Dinh Ngoc<\/a><\/span>, Laboratoire d\u2019Oc\u00e9anologie et de Geosciences, Universit\u00e9 du Littoral C\u00f4te d\u2019Opale, Universit\u00e9 de Lille, CNRS, IRD, UMR 8187, LOG; Vietnam Academy of Science and Technology, Space Technology Institute; LOTUS, Vietnam Academy of Science and Technology, University of Science and Technology of Hanoi<\/p>\n Manh Duy Tran<\/a><\/span>, Laboratoire d\u2019Oc\u00e9anologie et de Geosciences, Universit\u00e9 du Littoral C\u00f4te d\u2019Opale, Universit\u00e9 de Lille, CNRS, IRD, UMR 8187, LOG<\/p>\n Daniel S.F. Jorge<\/a><\/span>, Laboratoire d\u2019Oc\u00e9anologie et de Geosciences, Universit\u00e9 du Littoral C\u00f4te d\u2019Opale, Universit\u00e9 de Lille, CNRS, IRD, UMR 8187, LOG<\/p>\n Vincent Vantrepotte<\/a><\/span>, Laboratoire d\u2019Oc\u00e9anologie et de Geosciences, Universit\u00e9 du Littoral C\u00f4te d\u2019Opale, Universit\u00e9 de Lille, CNRS, IRD, UMR 8187, LOG; Vietnam Academy of Science and Technology, Space Technology Institute; LOTUS, Vietnam Academy of Science and Technology, University of Science and Technology of Hanoi<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|tablet” _builder_version=”4.14.7″ _module_preset=”default” background_enable_color=”off” background_image=”https:\/\/oceanopticsconference.org\/wp-content\/uploads\/2022\/01\/oo22-banner-bckd.jpg” custom_padding=”0px||11px||false|false” custom_padding_tablet=”0px||11px||false|false” custom_padding_phone=”||27px||false|false” global_module=”2766″ saved_tabs=”all” locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ _module_preset=”default” custom_padding=”0px||8px||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_social_media_follow use_icon_font_size=”on” icon_font_size=”19px” _builder_version=”4.16″ _module_preset=”default” custom_button=”on” text_orientation=”right” custom_margin=”-10px||11px||false|false” custom_margin_tablet=”-9px||5px||false|false” custom_margin_phone=”-9px||5px||false|false” custom_margin_last_edited=”on|tablet” global_colors_info=”{}” button_text_size__hover_enabled=”on|desktop”][et_pb_social_media_follow_network social_network=”facebook” url=”https:\/\/www.facebook.com\/OceanOpticsConference\/” _builder_version=”4.16″ _module_preset=”default” background_color=”#9b9b9b” background_enable_color=”on” global_colors_info=”{}” background__hover_enabled=”on|hover” background_color__hover=”#0C71C3″ background_enable_color__hover=”on” follow_button=”off” url_new_window=”on”]facebook[\/et_pb_social_media_follow_network][et_pb_social_media_follow_network social_network=”twitter” url=”https:\/\/twitter.com\/OceanOpticsConf” _builder_version=”4.16″ _module_preset=”default” background_color=”#9b9b9b” background_enable_color=”on” global_colors_info=”{}” background__hover_enabled=”on|hover” background_color__hover=”#0C71C3″ background_enable_color__hover=”on” follow_button=”off” url_new_window=”on”]twitter[\/et_pb_social_media_follow_network][\/et_pb_social_media_follow][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ use_custom_gutter=”on” gutter_width=”2″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”13px||34px|0px||” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”default” header_font_size=”26px” header_2_font=”|||on|||||” header_2_text_align=”center” header_2_text_color=”#FFFFFF” header_2_font_size=”21px” text_orientation=”center” custom_margin=”||5px|||” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ _module_preset=”default” text_text_color=”#FFFFFF” link_font=”||||on||||” link_text_color=”#FFFFFF” header_2_text_color=”#FFFFFF” max_width=”300px” module_alignment=”center” custom_margin=”||||false|false” custom_margin_tablet=”||-3px||false|false” custom_margin_phone=”” custom_margin_last_edited=”on|tablet” custom_padding_tablet=”||||false|false” custom_padding_phone=”||32px||false|false” custom_padding_last_edited=”on|phone” global_colors_info=”{}” link_text_color__hover_enabled=”on|hover” link_text_color__hover=”#a8a8a8″]<\/p>\n Sign up to receive email updates to be sure to catch all the meeting news. 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Most remote-sensing algorithms derive CDOM absorption (acdom) for inland waters at 440 […]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":""},"_links":{"self":[{"href":"https:\/\/oceanopticsconference.org\/wp-json\/wp\/v2\/pages\/6444"}],"collection":[{"href":"https:\/\/oceanopticsconference.org\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/oceanopticsconference.org\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/oceanopticsconference.org\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/oceanopticsconference.org\/wp-json\/wp\/v2\/comments?post=6444"}],"version-history":[{"count":3,"href":"https:\/\/oceanopticsconference.org\/wp-json\/wp\/v2\/pages\/6444\/revisions"}],"predecessor-version":[{"id":7246,"href":"https:\/\/oceanopticsconference.org\/wp-json\/wp\/v2\/pages\/6444\/revisions\/7246"}],"wp:attachment":[{"href":"https:\/\/oceanopticsconference.org\/wp-json\/wp\/v2\/media?parent=6444"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}AN EMPIRICAL ALGORITHM FOR ESTIMATING COLORED DISSOLVED ORGANIC MATTER FROM LANDSAT 8 AND SENTINEL 2 IMAGERY OVER COASTAL WATER<\/h3>\n
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