Journal
INTERNATIONAL JOURNAL OF REMOTE SENSING
Volume 37, Issue 7, Pages 1585-1600Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/01431161.2015.1088673
Keywords
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Funding
- National Natural Science Foundation of China [41376042, 41176035]
- Natural Science for Youth Foundation [41206029]
- youth Foundation - South China Sea institute of oceanology Chinese academy of sciences [SQ201102]
- State key Laboratory of Estuarine and Coastal Research [SKLEC-KF201302]
- State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences [LTOZZ1201]
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Medium Resolution Imaging Spectrometer (MERIS), Moderate Resolution Imaging Spectroradiometer (MODIS), and Sea-viewing Wide Field-of-view Sensor (SeaWiFS) particulate organic carbon (POC) concentration products for the South China Sea (SCS) were compared with in situ data collected from October 2007 to December 2013. Spectral remote-sensing reflectance (R-rs,R-lambda) was also measured to help understand POC algorithm performance. A strict comparison of the satellite-derived POC and in situ measurements showed that MERIS, MODIS, and SeaWiFS underestimated in situ values by 29.1, 11.7, and 31.5%, respectively. Similar results were obtained with a relaxed matching criterion. Through analysis of the causes of product uncertainty, the results suggested that satellite retrieval of R-rs,R-lambda and the global POC algorithm both have an impact on inversion accuracy. However, the formulation of the POC algorithm seems to be more critical. When a regional algorithm was developed to obtain satellite-derived POC, both the strict and relaxed comparison results showed significant improvement, but for coastal waters, both algorithms had larger errors. Other factors affecting the comparison are also discussed.
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