globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jag.2017.06.001
Scopus记录号: 2-s2.0-85032214730
论文题名:
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
作者: Lyu H; , Wang Y; , Jin Q; , Shi L; , Li Y; , Wang Q
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2017
卷: 62
起始页码: 69
结束页码: 77
语种: 英语
英文关键词: Inland water ; MERIS image ; Organic suspended matter ; POC concentration ; Semi-analytical algorithm
Scopus关键词: algorithm ; biological pump ; concentration (composition) ; eutrophic environment ; MERIS ; particulate organic carbon ; spatial distribution ; turbidity ; water quality ; China ; Taihu Lake
英文摘要: 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. © 2017 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79973
Appears in Collections:气候变化事实与影响

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作者单位: Key Laboratory of Virtual Geographic Environment, Ministry of Education, College of Geographic Science, Nanjing Normal University, Nanjing, China; State Key Laboratory Cultivation Base of Geographical Environment Evolution, Nanjing, Jiangsu Province, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, China; Satellite Environment Application Center, Ministry of Environmental Protection, Beijing, China

Recommended Citation:
Lyu H,, Wang Y,, Jin Q,et al. 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[J]. International Journal of Applied Earth Observation and Geoinformation,2017-01-01,62
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