Evaluation of the retrieval of total suspended matter concentration in Taihu Lake, China from CBERS-02B CCD
Remote sensing techniques is used to quantify the total suspended matter concentration （CTSM）. In this study, we used remotely sensed data to retrieve the CTSM for the Taihu Lake, China, and developed an atmospheric correction algorithm especially for CBERS-02B CCD data. We simulated the remote sens...
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| Veröffentlicht in: | Chinese journal of oceanology and limnology 2010-11, Vol.28 (6), p.1316-1322 |
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| creator | Zhang, Minwei Dong, Qing Tang, Junwu Song, Qingjun |
| description | Remote sensing techniques is used to quantify the total suspended matter concentration （CTSM）. In this study, we used remotely sensed data to retrieve the CTSM for the Taihu Lake, China, and developed an atmospheric correction algorithm especially for CBERS-02B CCD data. We simulated the remote sensing reflectance （Rr~） of CCD bands using in-situ observations made in a cruise over the Taihu Lake in autumn 2004, from which a retrieval model is established with simulated Rrs（830） and measured CTSM. In addition, we applied the atmospheric correction algorithm and retrieval model to process the CCD data over the lake in 2008 and to retrieve the CTSM. The RMS relative error between the CTSM retrieved from MODIS and from the CCD images is about 42.9%, indicating that algorithms described in this paper can be used for the application of CCD data in monitoring the CTSM distribution in the Taihu Lake. |
| doi_str_mv | 10.1007/s00343-010-9948-7 |
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In this study, we used remotely sensed data to retrieve the CTSM for the Taihu Lake, China, and developed an atmospheric correction algorithm especially for CBERS-02B CCD data. We simulated the remote sensing reflectance （Rr~） of CCD bands using in-situ observations made in a cruise over the Taihu Lake in autumn 2004, from which a retrieval model is established with simulated Rrs（830） and measured CTSM. In addition, we applied the atmospheric correction algorithm and retrieval model to process the CCD data over the lake in 2008 and to retrieve the CTSM. The RMS relative error between the CTSM retrieved from MODIS and from the CCD images is about 42.9%, indicating that algorithms described in this paper can be used for the application of CCD data in monitoring the CTSM distribution in the Taihu Lake.</description><identifier>ISSN: 0254-4059</identifier><identifier>ISSN: 2096-5508</identifier><identifier>EISSN: 1993-5005</identifier><identifier>EISSN: 2523-3521</identifier><identifier>DOI: 10.1007/s00343-010-9948-7</identifier><language>eng</language><publisher>Heidelberg: SP Science Press</publisher><subject>Algorithms ; Atmospheric correction ; Atmospheric models ; CCD数据 ; Cruises ; Earth and Environmental Science ; Earth Sciences ; Environmental monitoring ; Inland waters ; Lakes ; Limnology ; Marine ; Oceanography ; Physics ; Reflectance ; Remote sensing ; Retrieval ; Suspended matter ; 中巴地球资源卫星 ; 悬浮物浓度 ; 校正算法 ; 检索模型</subject><ispartof>Chinese journal of oceanology and limnology, 2010-11, Vol.28 (6), p.1316-1322</ispartof><rights>Chinese Society for Oceanology and Limnology, Science Press and Springer Berlin Heidelberg 2010</rights><rights>Chinese Society for Oceanology and Limnology, Science Press and Springer Berlin Heidelberg 2010.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c374t-a7e7d3c20a70ca0e20e2d9cbcfe041c14a7265f9960e22c5351d2bc6243d6b033</citedby><cites>FETCH-LOGICAL-c374t-a7e7d3c20a70ca0e20e2d9cbcfe041c14a7265f9960e22c5351d2bc6243d6b033</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/84119X/84119X.jpg</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/807529104/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/807529104?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,777,781,21369,21370,21371,21372,23237,27905,27906,33511,33684,33725,33986,34295,43640,43768,43786,43934,44048,64364,64368,72218,73853,74032,74051,74222,74339</link.rule.ids></links><search><creatorcontrib>Zhang, Minwei</creatorcontrib><creatorcontrib>Dong, Qing</creatorcontrib><creatorcontrib>Tang, Junwu</creatorcontrib><creatorcontrib>Song, Qingjun</creatorcontrib><title>Evaluation of the retrieval of total suspended matter concentration in Taihu Lake, China from CBERS-02B CCD</title><title>Chinese journal of oceanology and limnology</title><addtitle>Chin. J. Ocean. Limnol</addtitle><addtitle>Chinese Journal of Oceanology and Limnology</addtitle><description>Remote sensing techniques is used to quantify the total suspended matter concentration （CTSM）. In this study, we used remotely sensed data to retrieve the CTSM for the Taihu Lake, China, and developed an atmospheric correction algorithm especially for CBERS-02B CCD data. We simulated the remote sensing reflectance （Rr~） of CCD bands using in-situ observations made in a cruise over the Taihu Lake in autumn 2004, from which a retrieval model is established with simulated Rrs（830） and measured CTSM. In addition, we applied the atmospheric correction algorithm and retrieval model to process the CCD data over the lake in 2008 and to retrieve the CTSM. The RMS relative error between the CTSM retrieved from MODIS and from the CCD images is about 42.9%, indicating that algorithms described in this paper can be used for the application of CCD data in monitoring the CTSM distribution in the Taihu Lake.</description><subject>Algorithms</subject><subject>Atmospheric correction</subject><subject>Atmospheric models</subject><subject>CCD数据</subject><subject>Cruises</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Environmental monitoring</subject><subject>Inland waters</subject><subject>Lakes</subject><subject>Limnology</subject><subject>Marine</subject><subject>Oceanography</subject><subject>Physics</subject><subject>Reflectance</subject><subject>Remote sensing</subject><subject>Retrieval</subject><subject>Suspended matter</subject><subject>中巴地球资源卫星</subject><subject>悬浮物浓度</subject><subject>校正算法</subject><subject>检索模型</subject><issn>0254-4059</issn><issn>2096-5508</issn><issn>1993-5005</issn><issn>2523-3521</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kN9rFDEQxxdR8Kz-Ab4FX3wxdfJrc3m062mFg4Jtn0MuO9vb3l5yTbKC_72pWxB8KAQmzHw-w_BtmvcMzhmA_pwBhBQUGFBj5JrqF82KGSOoAlAvmxVwJakEZV43b3K-r7SRYFbNYfPLTbMrYwwkDqTskSQsacTa_tuIpX7ynE8YeuzJ0ZWCifgYPIaSFnEM5MaN-5ls3QE_kW4_BkeGFI-ku9j8vKbAL0jXfX3bvBrclPHdUz1rbr9tbrpLur36_qP7sqVeaFmo06h74Tk4Dd4B8vp643d-QJDMM-k0b9VgTFsH3CuhWM93vuVS9O0OhDhrPi57Tyk-zJiLPY7Z4zS5gHHOdq1ardvqVfLDf-R9nFOox9k1aMUNA1khtkA-xZwTDvaUxqNLvy0D-xi-XcK3NXz7GL7V1eGLkysb7jD9W_yc9HSN38dw91A9u3P-MIwTWqHWCtpWij_BBpD0</recordid><startdate>20101101</startdate><enddate>20101101</enddate><creator>Zhang, Minwei</creator><creator>Dong, Qing</creator><creator>Tang, Junwu</creator><creator>Song, Qingjun</creator><general>SP Science Press</general><general>Springer Nature B.V</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W92</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7QL</scope><scope>7SN</scope><scope>7TN</scope><scope>7U7</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>M2P</scope><scope>M7N</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7TG</scope><scope>H95</scope><scope>KL.</scope></search><sort><creationdate>20101101</creationdate><title>Evaluation of the retrieval of total suspended matter concentration in Taihu Lake, China from CBERS-02B CCD</title><author>Zhang, Minwei ; Dong, Qing ; Tang, Junwu ; Song, Qingjun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c374t-a7e7d3c20a70ca0e20e2d9cbcfe041c14a7265f9960e22c5351d2bc6243d6b033</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Algorithms</topic><topic>Atmospheric correction</topic><topic>Atmospheric models</topic><topic>CCD数据</topic><topic>Cruises</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Environmental monitoring</topic><topic>Inland waters</topic><topic>Lakes</topic><topic>Limnology</topic><topic>Marine</topic><topic>Oceanography</topic><topic>Physics</topic><topic>Reflectance</topic><topic>Remote sensing</topic><topic>Retrieval</topic><topic>Suspended matter</topic><topic>中巴地球资源卫星</topic><topic>悬浮物浓度</topic><topic>校正算法</topic><topic>检索模型</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Minwei</creatorcontrib><creatorcontrib>Dong, Qing</creatorcontrib><creatorcontrib>Tang, Junwu</creatorcontrib><creatorcontrib>Song, Qingjun</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库-工程技术</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><jtitle>Chinese journal of oceanology and limnology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Minwei</au><au>Dong, Qing</au><au>Tang, Junwu</au><au>Song, Qingjun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of the retrieval of total suspended matter concentration in Taihu Lake, China from CBERS-02B CCD</atitle><jtitle>Chinese journal of oceanology and limnology</jtitle><stitle>Chin. J. Ocean. Limnol</stitle><addtitle>Chinese Journal of Oceanology and Limnology</addtitle><date>2010-11-01</date><risdate>2010</risdate><volume>28</volume><issue>6</issue><spage>1316</spage><epage>1322</epage><pages>1316-1322</pages><issn>0254-4059</issn><issn>2096-5508</issn><eissn>1993-5005</eissn><eissn>2523-3521</eissn><abstract>Remote sensing techniques is used to quantify the total suspended matter concentration （CTSM）. In this study, we used remotely sensed data to retrieve the CTSM for the Taihu Lake, China, and developed an atmospheric correction algorithm especially for CBERS-02B CCD data. We simulated the remote sensing reflectance （Rr~） of CCD bands using in-situ observations made in a cruise over the Taihu Lake in autumn 2004, from which a retrieval model is established with simulated Rrs（830） and measured CTSM. In addition, we applied the atmospheric correction algorithm and retrieval model to process the CCD data over the lake in 2008 and to retrieve the CTSM. The RMS relative error between the CTSM retrieved from MODIS and from the CCD images is about 42.9%, indicating that algorithms described in this paper can be used for the application of CCD data in monitoring the CTSM distribution in the Taihu Lake.</abstract><cop>Heidelberg</cop><pub>SP Science Press</pub><doi>10.1007/s00343-010-9948-7</doi><tpages>7</tpages></addata></record> |
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| subjects | Algorithms Atmospheric correction Atmospheric models CCD数据 Cruises Earth and Environmental Science Earth Sciences Environmental monitoring Inland waters Lakes Limnology Marine Oceanography Physics Reflectance Remote sensing Retrieval Suspended matter 中巴地球资源卫星 悬浮物浓度 校正算法 检索模型 |
| title | Evaluation of the retrieval of total suspended matter concentration in Taihu Lake, China from CBERS-02B CCD |
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