Regional algorithms for remote-sensing estimates of total suspended matter in the Beaufort Sea
[Tang, Shilin; Niemi, Andrea; Michel, Christine] Fisheries & Oceans Canada, Inst Freshwater, Winnipeg, MB R3T 2N6, Canada; [Tang, Shilin] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China; [Larouche, Pierre] Fisheries & Oceans Canada, Maurice Lamontagne Inst, Mont Joli, PQ G5H 3Z4, Canada; Christine.Michel@dfo-mpo.gc.ca
2013
发表期刊INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
卷号34期号:19页码:6562-6576
摘要The large and variable riverine inflow to Arctic continental shelves strongly influences their chemical, biological, and optical properties. The Beaufort Sea receives the largest amount of suspended sediments amongst all Arctic shelves, with sediment-laden Mackenzie river waters strongly influencing bio-optical properties on the shelf. Here, we developed two regional algorithms for the estimation of total suspended matter (TSM) concentration using Medium Resolution Imaging Spectrometer (MERIS) spectral bands, based on in situ optical and suspended particulate data collected in the summer during the Canadian Arctic Shelf Exchange Study (CASES) in 2004 and during the Arctic Coastal Ecosystem Study (ACES) in 2010. The band ratio (where R-rs is remote-sensing reflectance) R-rs,R-560/R-rs,R-490 was best correlated with low TSM concentrations (less than 3.0 g m(-3)), while higher TSM concentrations were well correlated to R-rs,R-681/R-rs,R-560. An empirical piecewise algorithm is thus proposed with the switch between the ratios being triggered by R-rs,R-681/R-rs,R-560 at a threshold value of 0.6. The second algorithm made use of support vector machines (SVMs) as a nonlinear transfer function between TSM concentrations and remote-sensing reflectance ratios R-rs,R-681/R-rs,R-560, R-rs,R-665/R-rs,R-560, and R-rs,R-560/R-rs,R-490. Results show that both algorithms perform better (31% and 25%, respectively) than other published TSM algorithms including the MERIS Case 2 water processor (C2R) neural network algorithm in the study area.
部门归属LTO
学科领域Remote Sensing ; Imaging Science & Photographic Technology
资助者The first author (S. Tang) received a visiting fellowship at the Canadian Laboratory from the National Research Council of Canada (NSERC). This work was funded by the Canadian Space Agency GRIP programme and a NSERC Discovery grant to C. Michel. Field sampling was supported by NSERC grants as part of CASES and Fisheries and Oceans Canada for ACES. Special thanks to M. Gale and C. Beaudry for their help in the field and laboratory, and to the captain and crew of the CCGS Amundsen and the Beaufort Explorer for their invaluable support. We acknowledge the ESA Category-1 project and the Canadian Space Agency for providing MERIS FR data. This is a contribution to the research programmes of CASES and Fisheries and Oceans Canada (Freshwater Institute and Maurice Lamontagne Institute), and a contribution to the Arctic in Rapid Transition (ART) programme. Thanks to Chih-Chung Chang and Chih-Jen Lin for the SVM software package LIBSVM (http://www.csie.ntu.edu.tw/similar to cjlin/libsvm/), to the NASA Ocean Color Research Group for the SeaDAS software, and to ESA for the BEAM software. ; The first author (S. Tang) received a visiting fellowship at the Canadian Laboratory from the National Research Council of Canada (NSERC). This work was funded by the Canadian Space Agency GRIP programme and a NSERC Discovery grant to C. Michel. Field sampling was supported by NSERC grants as part of CASES and Fisheries and Oceans Canada for ACES. Special thanks to M. Gale and C. Beaudry for their help in the field and laboratory, and to the captain and crew of the CCGS Amundsen and the Beaufort Explorer for their invaluable support. We acknowledge the ESA Category-1 project and the Canadian Space Agency for providing MERIS FR data. This is a contribution to the research programmes of CASES and Fisheries and Oceans Canada (Freshwater Institute and Maurice Lamontagne Institute), and a contribution to the Arctic in Rapid Transition (ART) programme. Thanks to Chih-Chung Chang and Chih-Jen Lin for the SVM software package LIBSVM (http://www.csie.ntu.edu.tw/similar to cjlin/libsvm/), to the NASA Ocean Color Research Group for the SeaDAS software, and to ESA for the BEAM software. ; The first author (S. Tang) received a visiting fellowship at the Canadian Laboratory from the National Research Council of Canada (NSERC). This work was funded by the Canadian Space Agency GRIP programme and a NSERC Discovery grant to C. Michel. Field sampling was supported by NSERC grants as part of CASES and Fisheries and Oceans Canada for ACES. Special thanks to M. Gale and C. Beaudry for their help in the field and laboratory, and to the captain and crew of the CCGS Amundsen and the Beaufort Explorer for their invaluable support. We acknowledge the ESA Category-1 project and the Canadian Space Agency for providing MERIS FR data. This is a contribution to the research programmes of CASES and Fisheries and Oceans Canada (Freshwater Institute and Maurice Lamontagne Institute), and a contribution to the Arctic in Rapid Transition (ART) programme. Thanks to Chih-Chung Chang and Chih-Jen Lin for the SVM software package LIBSVM (http://www.csie.ntu.edu.tw/similar to cjlin/libsvm/), to the NASA Ocean Color Research Group for the SeaDAS software, and to ESA for the BEAM software. ; The first author (S. Tang) received a visiting fellowship at the Canadian Laboratory from the National Research Council of Canada (NSERC). This work was funded by the Canadian Space Agency GRIP programme and a NSERC Discovery grant to C. Michel. Field sampling was supported by NSERC grants as part of CASES and Fisheries and Oceans Canada for ACES. Special thanks to M. Gale and C. Beaudry for their help in the field and laboratory, and to the captain and crew of the CCGS Amundsen and the Beaufort Explorer for their invaluable support. We acknowledge the ESA Category-1 project and the Canadian Space Agency for providing MERIS FR data. This is a contribution to the research programmes of CASES and Fisheries and Oceans Canada (Freshwater Institute and Maurice Lamontagne Institute), and a contribution to the Arctic in Rapid Transition (ART) programme. Thanks to Chih-Chung Chang and Chih-Jen Lin for the SVM software package LIBSVM (http://www.csie.ntu.edu.tw/similar to cjlin/libsvm/), to the NASA Ocean Color Research Group for the SeaDAS software, and to ESA for the BEAM software.
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资助者The first author (S. Tang) received a visiting fellowship at the Canadian Laboratory from the National Research Council of Canada (NSERC). This work was funded by the Canadian Space Agency GRIP programme and a NSERC Discovery grant to C. Michel. Field sampling was supported by NSERC grants as part of CASES and Fisheries and Oceans Canada for ACES. Special thanks to M. Gale and C. Beaudry for their help in the field and laboratory, and to the captain and crew of the CCGS Amundsen and the Beaufort Explorer for their invaluable support. We acknowledge the ESA Category-1 project and the Canadian Space Agency for providing MERIS FR data. This is a contribution to the research programmes of CASES and Fisheries and Oceans Canada (Freshwater Institute and Maurice Lamontagne Institute), and a contribution to the Arctic in Rapid Transition (ART) programme. Thanks to Chih-Chung Chang and Chih-Jen Lin for the SVM software package LIBSVM (http://www.csie.ntu.edu.tw/similar to cjlin/libsvm/), to the NASA Ocean Color Research Group for the SeaDAS software, and to ESA for the BEAM software. ; The first author (S. Tang) received a visiting fellowship at the Canadian Laboratory from the National Research Council of Canada (NSERC). This work was funded by the Canadian Space Agency GRIP programme and a NSERC Discovery grant to C. Michel. Field sampling was supported by NSERC grants as part of CASES and Fisheries and Oceans Canada for ACES. Special thanks to M. Gale and C. Beaudry for their help in the field and laboratory, and to the captain and crew of the CCGS Amundsen and the Beaufort Explorer for their invaluable support. We acknowledge the ESA Category-1 project and the Canadian Space Agency for providing MERIS FR data. This is a contribution to the research programmes of CASES and Fisheries and Oceans Canada (Freshwater Institute and Maurice Lamontagne Institute), and a contribution to the Arctic in Rapid Transition (ART) programme. Thanks to Chih-Chung Chang and Chih-Jen Lin for the SVM software package LIBSVM (http://www.csie.ntu.edu.tw/similar to cjlin/libsvm/), to the NASA Ocean Color Research Group for the SeaDAS software, and to ESA for the BEAM software. ; The first author (S. Tang) received a visiting fellowship at the Canadian Laboratory from the National Research Council of Canada (NSERC). This work was funded by the Canadian Space Agency GRIP programme and a NSERC Discovery grant to C. Michel. Field sampling was supported by NSERC grants as part of CASES and Fisheries and Oceans Canada for ACES. Special thanks to M. Gale and C. Beaudry for their help in the field and laboratory, and to the captain and crew of the CCGS Amundsen and the Beaufort Explorer for their invaluable support. We acknowledge the ESA Category-1 project and the Canadian Space Agency for providing MERIS FR data. This is a contribution to the research programmes of CASES and Fisheries and Oceans Canada (Freshwater Institute and Maurice Lamontagne Institute), and a contribution to the Arctic in Rapid Transition (ART) programme. Thanks to Chih-Chung Chang and Chih-Jen Lin for the SVM software package LIBSVM (http://www.csie.ntu.edu.tw/similar to cjlin/libsvm/), to the NASA Ocean Color Research Group for the SeaDAS software, and to ESA for the BEAM software. ; The first author (S. Tang) received a visiting fellowship at the Canadian Laboratory from the National Research Council of Canada (NSERC). This work was funded by the Canadian Space Agency GRIP programme and a NSERC Discovery grant to C. Michel. Field sampling was supported by NSERC grants as part of CASES and Fisheries and Oceans Canada for ACES. Special thanks to M. Gale and C. Beaudry for their help in the field and laboratory, and to the captain and crew of the CCGS Amundsen and the Beaufort Explorer for their invaluable support. We acknowledge the ESA Category-1 project and the Canadian Space Agency for providing MERIS FR data. This is a contribution to the research programmes of CASES and Fisheries and Oceans Canada (Freshwater Institute and Maurice Lamontagne Institute), and a contribution to the Arctic in Rapid Transition (ART) programme. Thanks to Chih-Chung Chang and Chih-Jen Lin for the SVM software package LIBSVM (http://www.csie.ntu.edu.tw/similar to cjlin/libsvm/), to the NASA Ocean Color Research Group for the SeaDAS software, and to ESA for the BEAM software.
WOS记录号WOS:000321609300007
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被引频次:6[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.scsio.ac.cn/handle/344004/10875
专题热带海洋环境国家重点实验室(LTO)
通讯作者Christine.Michel@dfo-mpo.gc.ca
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[Tang, Shilin,Niemi, Andrea,Michel, Christine] Fisheries & Oceans Canada, Inst Freshwater, Winnipeg, MB R3T 2N6, Canada,et al. Regional algorithms for remote-sensing estimates of total suspended matter in the Beaufort Sea[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2013,34(19):6562-6576.
APA [Tang, Shilin,Niemi, Andrea,Michel, Christine] Fisheries & Oceans Canada, Inst Freshwater, Winnipeg, MB R3T 2N6, Canada,[Tang, Shilin] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China,[Larouche, Pierre] Fisheries & Oceans Canada, Maurice Lamontagne Inst, Mont Joli, PQ G5H 3Z4, Canada,&Christine.Michel@dfo-mpo.gc.ca.(2013).Regional algorithms for remote-sensing estimates of total suspended matter in the Beaufort Sea.INTERNATIONAL JOURNAL OF REMOTE SENSING,34(19),6562-6576.
MLA [Tang, Shilin,et al."Regional algorithms for remote-sensing estimates of total suspended matter in the Beaufort Sea".INTERNATIONAL JOURNAL OF REMOTE SENSING 34.19(2013):6562-6576.
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