Developing a semi-analytical algorithm to estimate particulate organic carbon (POC) levels in inland eutrophic turbid water based on MERIS images: A case study of Lake Taihu |
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| Institution: | 1. Ministry of Education''s Key Laboratory of Poyang Lake Wetland and Watershed Research, School of Geography and Environmental Science, Jiangxi Normal University, Nanchang, China;2. College of Chemistry and Chemical Engineering, Jiangxi Normal University, Nanchang, China;3. Department of Natural Resources Science, University of Rhode Island, Kingston, USA;1. Estonian Marine Institute, University of Tartu, Mäealuse 14, Tallinn 12618, Estonia;2. Tartu Observatory, Tõravere 61602, Estonia;3. Evolutionary Biology Center, Department of Limnology, Norbyvägen 18D, 75236 Uppsala, Sweden;4. Department of Aquatic Sciences and Assessment, Swedish University of Agriculture Sciences, Box 7050, 750 07 Uppsala, Sweden;1. Key Laboratory of Virtual Geographic Environment, Ministry of Education, College of Geographic Science, Nanjing Normal University, Nanjing 210023, China;2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China;3. Chongqing Institute of Surveying and Planning for Land Resources and Housing, Chongqing 400020, China;4. National University of Singapore, Department of Geography, Singapore 117570, Singapore;5. Satellite Environment Application Center, Ministry of Environmental Protection, Beijing 100029, China |
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| Abstract: | Particulate organic carbon (POC) plays an important role in the carbon cycle in water due to its biological pump process. In the open ocean, algorithms can accurately estimate the surface POC concentration. However, no suitable POC-estimation algorithm based on MERIS bands is available for inland turbid eutrophic water. A total of 228 field samples were collected from Lake Taihu in different seasons between 2013 and 2015. At each site, the optical parameters and water quality were analyzed. Using in situ data, it was found that POC-estimation algorithms developed for the open ocean and coastal waters using remote sensing reflectance were not suitable for inland turbid eutrophic water. The organic suspended matter (OSM) concentration was found to be the best indicator of the POC concentration, and POC has an exponential relationship with the OSM concentration. Through an analysis of the POC concentration and optical parameters, it was found that the absorption peak of total suspended matter (TSM) at 665 nm was the optimum parameter to estimate POC. As a result, MERIS band 7, MERIS band 10 and MERIS band 12 were used to derive the absorption coefficient of TSM at 665 nm, and then, a semi-analytical algorithm was used to estimate the POC concentration for inland turbid eutrophic water. An accuracy assessment showed that the developed semi-analytical algorithm could be successfully applied with a MAPE of 31.82% and RMSE of 2.68 mg/L. The developed algorithm was successfully applied to a MERIS image, and two full-resolution MERIS images, acquired on August 13, 2010, and December 7, 2010, were used to map the POC spatial distribution in Lake Taihu in summer and winter. |
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| Keywords: | POC concentration Organic suspended matter Semi-analytical algorithm MERIS image Inland water |
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