MODIS-Based Research on Secchi Disk Depth Using an Improved Semianalytical Algorithm in the Yellow Sea
Secchi disk depth is a commonly measured parameter representing the optical properties of water bodies. Assessment of water transparency in seas is highly significant to marine-environment monitoring. In this study, an improved Secchi disk depth ( Z SD ) inversion algorithm was proposed based on the...
Gespeichert in:
| Veröffentlicht in: | IEEE journal of selected topics in applied earth observations and remote sensing 2021, Vol.14, p.5964-5972 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 5972 |
|---|---|
| container_issue | |
| container_start_page | 5964 |
| container_title | IEEE journal of selected topics in applied earth observations and remote sensing |
| container_volume | 14 |
| creator | Zhan, Jie Zhang, Dianjun Zhou, Guoqing Zhang, Guangyun Cao, Lingjuan Guo, Quan |
| description | Secchi disk depth is a commonly measured parameter representing the optical properties of water bodies. Assessment of water transparency in seas is highly significant to marine-environment monitoring. In this study, an improved Secchi disk depth ( Z SD ) inversion algorithm was proposed based on the Poole-Atkins model by determining the parameter A in the original model. The Forel-Ule index (FUI) is a water color parameter that can be obtained from remote sensing data. Through the analysis of the International Ocean Color Coordinating Group dataset, it was found that there are strong logarithmic and quadratic correlations between the FUI and parameter A , whose R 2 values are 0.929 and 0.925, respectively. Comparing the results derived from MODIS product data with the in situ measured data in the Yellow Sea showed that the RMSE and MRE of the quadratic formula are 1.83 m and 43.74%, respectively, which reflect better performance than the other empirical formulas. Thus, parameter A can be expressed in quadratic form with FUI as a variable. Finally, we mapped the {Z_{{\rm{SD}}} inversion results for the Yellow Sea and analyzed the spatial changes. This study provides new insight for inverting Z SD transparency algorithms and highlights the value of marine transparency monitoring. |
| doi_str_mv | 10.1109/JSTARS.2021.3085556 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1109_JSTARS_2021_3085556</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9444822</ieee_id><doaj_id>oai_doaj_org_article_064c839dd27e46a7b707bac6ff39c561</doaj_id><sourcerecordid>2544952844</sourcerecordid><originalsourceid>FETCH-LOGICAL-c408t-4001e006ccacf02e5af525e235f57e2c30e79c1a92c1edc5386ef9f53ec2f9073</originalsourceid><addsrcrecordid>eNo9kU9v1DAQxS0EEkvhE_RiiXMW_03i49KlsKioUtMeOFnuZLzxko0XOwX12-OSqqeRRu-9macfIeecrTln5tP37nZz060FE3wtWau1rl-RleCaV1xL_ZqsuJGm4oqpt-RdzgfGatEYuSL-x_V211WfXcae3mBGl2CgcaIdAgyBbkP-Rbd4mgd6l8O0p26iu-MpxT9F3-ExuMmNj3MAN9LNuI8pzMORhonOA9KfOI7xb5G59-SNd2PGD8_zjNxdfrm9-FZdXX_dXWyuKlCsnSvFGMfyG4ADzwRq57XQKKT2ukEBkmFjgDsjgGMPWrY1euO1RBDesEaekd2S20d3sKcUji492uiC_b-IaW9dKt-OaFmtoJWm70WDqnbNfcOaewe199KArnnJ-rhklba_HzDP9hAfUqmbrdBKGS1apYpKLipIMeeE_uUqZ_YJjl3g2Cc49hlOcZ0vroCILw6jlGqFkP8A-oeKVQ</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2544952844</pqid></control><display><type>article</type><title>MODIS-Based Research on Secchi Disk Depth Using an Improved Semianalytical Algorithm in the Yellow Sea</title><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Zhan, Jie ; Zhang, Dianjun ; Zhou, Guoqing ; Zhang, Guangyun ; Cao, Lingjuan ; Guo, Quan</creator><creatorcontrib>Zhan, Jie ; Zhang, Dianjun ; Zhou, Guoqing ; Zhang, Guangyun ; Cao, Lingjuan ; Guo, Quan</creatorcontrib><description>Secchi disk depth is a commonly measured parameter representing the optical properties of water bodies. Assessment of water transparency in seas is highly significant to marine-environment monitoring. In this study, an improved Secchi disk depth ( Z SD ) inversion algorithm was proposed based on the Poole-Atkins model by determining the parameter A in the original model. The Forel-Ule index (FUI) is a water color parameter that can be obtained from remote sensing data. Through the analysis of the International Ocean Color Coordinating Group dataset, it was found that there are strong logarithmic and quadratic correlations between the FUI and parameter A , whose R 2 values are 0.929 and 0.925, respectively. Comparing the results derived from MODIS product data with the in situ measured data in the Yellow Sea showed that the RMSE and MRE of the quadratic formula are 1.83 m and 43.74%, respectively, which reflect better performance than the other empirical formulas. Thus, parameter A can be expressed in quadratic form with FUI as a variable. Finally, we mapped the <inline-formula><tex-math notation="LaTeX">{Z_{{\rm{SD}}}</tex-math></inline-formula> inversion results for the Yellow Sea and analyzed the spatial changes. This study provides new insight for inverting Z SD transparency algorithms and highlights the value of marine transparency monitoring.</description><identifier>ISSN: 1939-1404</identifier><identifier>EISSN: 2151-1535</identifier><identifier>DOI: 10.1109/JSTARS.2021.3085556</identifier><identifier>CODEN: IJSTHZ</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Algorithms ; Attenuation ; Color ; Depth ; Empirical analysis ; Forel–Ule index (FUI) ; Image color analysis ; Indexes ; Inversion ; Marine environment ; Mathematical models ; MODIS ; Monitoring ; Ocean color ; Ocean colour ; Optical properties ; Optical variables measurement ; Parameters ; Quadratic forms ; Quadratic formulas ; Reflectivity ; Remote sensing ; Sea measurements ; Secchi disk depth ; Transparency ; Water color ; Water colour ; Water depth ; Water transparency ; Yellow Sea</subject><ispartof>IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.5964-5972</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-4001e006ccacf02e5af525e235f57e2c30e79c1a92c1edc5386ef9f53ec2f9073</citedby><cites>FETCH-LOGICAL-c408t-4001e006ccacf02e5af525e235f57e2c30e79c1a92c1edc5386ef9f53ec2f9073</cites><orcidid>0000-0001-8295-0496 ; 0000-0003-2183-9553 ; 0000-0003-3270-8794</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,860,2096,4010,27900,27901,27902</link.rule.ids></links><search><creatorcontrib>Zhan, Jie</creatorcontrib><creatorcontrib>Zhang, Dianjun</creatorcontrib><creatorcontrib>Zhou, Guoqing</creatorcontrib><creatorcontrib>Zhang, Guangyun</creatorcontrib><creatorcontrib>Cao, Lingjuan</creatorcontrib><creatorcontrib>Guo, Quan</creatorcontrib><title>MODIS-Based Research on Secchi Disk Depth Using an Improved Semianalytical Algorithm in the Yellow Sea</title><title>IEEE journal of selected topics in applied earth observations and remote sensing</title><addtitle>JSTARS</addtitle><description>Secchi disk depth is a commonly measured parameter representing the optical properties of water bodies. Assessment of water transparency in seas is highly significant to marine-environment monitoring. In this study, an improved Secchi disk depth ( Z SD ) inversion algorithm was proposed based on the Poole-Atkins model by determining the parameter A in the original model. The Forel-Ule index (FUI) is a water color parameter that can be obtained from remote sensing data. Through the analysis of the International Ocean Color Coordinating Group dataset, it was found that there are strong logarithmic and quadratic correlations between the FUI and parameter A , whose R 2 values are 0.929 and 0.925, respectively. Comparing the results derived from MODIS product data with the in situ measured data in the Yellow Sea showed that the RMSE and MRE of the quadratic formula are 1.83 m and 43.74%, respectively, which reflect better performance than the other empirical formulas. Thus, parameter A can be expressed in quadratic form with FUI as a variable. Finally, we mapped the <inline-formula><tex-math notation="LaTeX">{Z_{{\rm{SD}}}</tex-math></inline-formula> inversion results for the Yellow Sea and analyzed the spatial changes. This study provides new insight for inverting Z SD transparency algorithms and highlights the value of marine transparency monitoring.</description><subject>Algorithms</subject><subject>Attenuation</subject><subject>Color</subject><subject>Depth</subject><subject>Empirical analysis</subject><subject>Forel–Ule index (FUI)</subject><subject>Image color analysis</subject><subject>Indexes</subject><subject>Inversion</subject><subject>Marine environment</subject><subject>Mathematical models</subject><subject>MODIS</subject><subject>Monitoring</subject><subject>Ocean color</subject><subject>Ocean colour</subject><subject>Optical properties</subject><subject>Optical variables measurement</subject><subject>Parameters</subject><subject>Quadratic forms</subject><subject>Quadratic formulas</subject><subject>Reflectivity</subject><subject>Remote sensing</subject><subject>Sea measurements</subject><subject>Secchi disk depth</subject><subject>Transparency</subject><subject>Water color</subject><subject>Water colour</subject><subject>Water depth</subject><subject>Water transparency</subject><subject>Yellow Sea</subject><issn>1939-1404</issn><issn>2151-1535</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNo9kU9v1DAQxS0EEkvhE_RiiXMW_03i49KlsKioUtMeOFnuZLzxko0XOwX12-OSqqeRRu-9macfIeecrTln5tP37nZz060FE3wtWau1rl-RleCaV1xL_ZqsuJGm4oqpt-RdzgfGatEYuSL-x_V211WfXcae3mBGl2CgcaIdAgyBbkP-Rbd4mgd6l8O0p26iu-MpxT9F3-ExuMmNj3MAN9LNuI8pzMORhonOA9KfOI7xb5G59-SNd2PGD8_zjNxdfrm9-FZdXX_dXWyuKlCsnSvFGMfyG4ADzwRq57XQKKT2ukEBkmFjgDsjgGMPWrY1euO1RBDesEaekd2S20d3sKcUji492uiC_b-IaW9dKt-OaFmtoJWm70WDqnbNfcOaewe199KArnnJ-rhklba_HzDP9hAfUqmbrdBKGS1apYpKLipIMeeE_uUqZ_YJjl3g2Cc49hlOcZ0vroCILw6jlGqFkP8A-oeKVQ</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Zhan, Jie</creator><creator>Zhang, Dianjun</creator><creator>Zhou, Guoqing</creator><creator>Zhang, Guangyun</creator><creator>Cao, Lingjuan</creator><creator>Guo, Quan</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8295-0496</orcidid><orcidid>https://orcid.org/0000-0003-2183-9553</orcidid><orcidid>https://orcid.org/0000-0003-3270-8794</orcidid></search><sort><creationdate>2021</creationdate><title>MODIS-Based Research on Secchi Disk Depth Using an Improved Semianalytical Algorithm in the Yellow Sea</title><author>Zhan, Jie ; Zhang, Dianjun ; Zhou, Guoqing ; Zhang, Guangyun ; Cao, Lingjuan ; Guo, Quan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-4001e006ccacf02e5af525e235f57e2c30e79c1a92c1edc5386ef9f53ec2f9073</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Attenuation</topic><topic>Color</topic><topic>Depth</topic><topic>Empirical analysis</topic><topic>Forel–Ule index (FUI)</topic><topic>Image color analysis</topic><topic>Indexes</topic><topic>Inversion</topic><topic>Marine environment</topic><topic>Mathematical models</topic><topic>MODIS</topic><topic>Monitoring</topic><topic>Ocean color</topic><topic>Ocean colour</topic><topic>Optical properties</topic><topic>Optical variables measurement</topic><topic>Parameters</topic><topic>Quadratic forms</topic><topic>Quadratic formulas</topic><topic>Reflectivity</topic><topic>Remote sensing</topic><topic>Sea measurements</topic><topic>Secchi disk depth</topic><topic>Transparency</topic><topic>Water color</topic><topic>Water colour</topic><topic>Water depth</topic><topic>Water transparency</topic><topic>Yellow Sea</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhan, Jie</creatorcontrib><creatorcontrib>Zhang, Dianjun</creatorcontrib><creatorcontrib>Zhou, Guoqing</creatorcontrib><creatorcontrib>Zhang, Guangyun</creatorcontrib><creatorcontrib>Cao, Lingjuan</creatorcontrib><creatorcontrib>Guo, Quan</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE journal of selected topics in applied earth observations and remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhan, Jie</au><au>Zhang, Dianjun</au><au>Zhou, Guoqing</au><au>Zhang, Guangyun</au><au>Cao, Lingjuan</au><au>Guo, Quan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MODIS-Based Research on Secchi Disk Depth Using an Improved Semianalytical Algorithm in the Yellow Sea</atitle><jtitle>IEEE journal of selected topics in applied earth observations and remote sensing</jtitle><stitle>JSTARS</stitle><date>2021</date><risdate>2021</risdate><volume>14</volume><spage>5964</spage><epage>5972</epage><pages>5964-5972</pages><issn>1939-1404</issn><eissn>2151-1535</eissn><coden>IJSTHZ</coden><abstract>Secchi disk depth is a commonly measured parameter representing the optical properties of water bodies. Assessment of water transparency in seas is highly significant to marine-environment monitoring. In this study, an improved Secchi disk depth ( Z SD ) inversion algorithm was proposed based on the Poole-Atkins model by determining the parameter A in the original model. The Forel-Ule index (FUI) is a water color parameter that can be obtained from remote sensing data. Through the analysis of the International Ocean Color Coordinating Group dataset, it was found that there are strong logarithmic and quadratic correlations between the FUI and parameter A , whose R 2 values are 0.929 and 0.925, respectively. Comparing the results derived from MODIS product data with the in situ measured data in the Yellow Sea showed that the RMSE and MRE of the quadratic formula are 1.83 m and 43.74%, respectively, which reflect better performance than the other empirical formulas. Thus, parameter A can be expressed in quadratic form with FUI as a variable. Finally, we mapped the <inline-formula><tex-math notation="LaTeX">{Z_{{\rm{SD}}}</tex-math></inline-formula> inversion results for the Yellow Sea and analyzed the spatial changes. This study provides new insight for inverting Z SD transparency algorithms and highlights the value of marine transparency monitoring.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/JSTARS.2021.3085556</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-8295-0496</orcidid><orcidid>https://orcid.org/0000-0003-2183-9553</orcidid><orcidid>https://orcid.org/0000-0003-3270-8794</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1939-1404 |
| ispartof | IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.5964-5972 |
| issn | 1939-1404 2151-1535 |
| language | eng |
| recordid | cdi_crossref_primary_10_1109_JSTARS_2021_3085556 |
| source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Algorithms Attenuation Color Depth Empirical analysis Forel–Ule index (FUI) Image color analysis Indexes Inversion Marine environment Mathematical models MODIS Monitoring Ocean color Ocean colour Optical properties Optical variables measurement Parameters Quadratic forms Quadratic formulas Reflectivity Remote sensing Sea measurements Secchi disk depth Transparency Water color Water colour Water depth Water transparency Yellow Sea |
| title | MODIS-Based Research on Secchi Disk Depth Using an Improved Semianalytical Algorithm in the Yellow Sea |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-12T23%3A08%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=MODIS-Based%20Research%20on%20Secchi%20Disk%20Depth%20Using%20an%20Improved%20Semianalytical%20Algorithm%20in%20the%20Yellow%20Sea&rft.jtitle=IEEE%20journal%20of%20selected%20topics%20in%20applied%20earth%20observations%20and%20remote%20sensing&rft.au=Zhan,%20Jie&rft.date=2021&rft.volume=14&rft.spage=5964&rft.epage=5972&rft.pages=5964-5972&rft.issn=1939-1404&rft.eissn=2151-1535&rft.coden=IJSTHZ&rft_id=info:doi/10.1109/JSTARS.2021.3085556&rft_dat=%3Cproquest_cross%3E2544952844%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2544952844&rft_id=info:pmid/&rft_ieee_id=9444822&rft_doaj_id=oai_doaj_org_article_064c839dd27e46a7b707bac6ff39c561&rfr_iscdi=true |