IGSNRR OpenIR
Spatiotemporal Variation in Particulate Organic Carbon Based on Long-Term MODIS Observations in Taihu Lake, China
Huang, Changchun1,2; Jiang, Quanliang1; Yao, Ling3,4; Li, Yunmei1,5,6; Yang, Hao1,6; Huang, Tao1,6; Zhang, Mingli1
2017-06-01
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume9Issue:6Pages:19
Corresponding AuthorYao, Ling(yaoling@lreis.ac.cn)
AbstractIn situ measured values of particulate organic carbon (POC) in Taihu Lake and remote sensing reflectance observed by three satellite courses from 2014 to 2015 were used to develop an near infrared-red (NIR-Red) empirical algorithm of POC for the Moderate Resolution Imaging Spectroradiometer (MODIS-Aqua) satellite image. The performance of the POC algorithm is highly consistent with the in situ measured POC, with root mean square error percentage (RMSPs) of 38.9% and 31.5% for two independent validations, respectively. The MODIS-derived POC also shows an acceptable result, with RMSPs of 53.6% and 61.0% for two periods of match-up data. POC from 2005 to 2007 is much higher than it is from 2002 to 2004 and 2008 to 2013, due to a large area of algal bloom. Riverine flux is an important source of POC in Taihu Lake, especially in the lake's bank and bays. The influence of a terrigenous source of POC can reach the center lake during periods of heavy precipitation. Sediment resuspension is also a source of POC in the lake due to the area's high dynamic ratio (25.4) and wind speed. The source of POC in an inland shallow lake is particularly complex, and additional research on POC is needed to more clearly reveal its variation in inland water.
Keywordcarbon cycle remote sensing eutrophic lake
DOI10.3390/rs9060624
WOS KeywordTURBID INLAND WATERS ; PEARL RIVER ESTUARY ; SOUTHERN NORTH-SEA ; CHLOROPHYLL-A ; OPTICAL-PROPERTIES ; SUSPENDED MATTER ; GLOBAL OCEAN ; POC ; VARIABILITY ; FLUXES
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41571324] ; National Natural Science Foundation of China[41503075] ; National Natural Science Foundation of China[41673108] ; Priority Academic Program Development of Jiangsu Higher Education Institutions ; State Key Laboratory of Lake Science and Environment[2016SKL005] ; Jiangsu Planned Projects for Postdoctoral Research Funds ; GDAS' Special Project of Science and Technology Development[2017GDASCX-0801] ; Vilas Associate Award ; Hammel Faculty Fellow Award ; Manasse Chair Professorship from the University of Wisconsin-Madison ; One-Thousand Talents Program of China
Funding OrganizationNational Natural Science Foundation of China ; Priority Academic Program Development of Jiangsu Higher Education Institutions ; State Key Laboratory of Lake Science and Environment ; Jiangsu Planned Projects for Postdoctoral Research Funds ; GDAS' Special Project of Science and Technology Development ; Vilas Associate Award ; Hammel Faculty Fellow Award ; Manasse Chair Professorship from the University of Wisconsin-Madison ; One-Thousand Talents Program of China
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000404623900115
PublisherMDPI AG
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/62943
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYao, Ling
Affiliation1.Nanjing Normal Univ, Sch Geog Sci, Nanjing 210023, Jiangsu, Peoples R China
2.Chinese Acad Sci, Nanjing Inst Geog & Limnol, State Key Lab Lake Sci & Environm, Nanjing 210023, Jiangsu, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
4.Guangdong Acad Sci, Guangdong Inst Geog, Guangzhou 510070, Guangdong, Peoples R China
5.Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, Nanjing 210023, Jiangsu, Peoples R China
6.Nanjing Normal Univ, Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
Huang, Changchun,Jiang, Quanliang,Yao, Ling,et al. Spatiotemporal Variation in Particulate Organic Carbon Based on Long-Term MODIS Observations in Taihu Lake, China[J]. REMOTE SENSING,2017,9(6):19.
APA Huang, Changchun.,Jiang, Quanliang.,Yao, Ling.,Li, Yunmei.,Yang, Hao.,...&Zhang, Mingli.(2017).Spatiotemporal Variation in Particulate Organic Carbon Based on Long-Term MODIS Observations in Taihu Lake, China.REMOTE SENSING,9(6),19.
MLA Huang, Changchun,et al."Spatiotemporal Variation in Particulate Organic Carbon Based on Long-Term MODIS Observations in Taihu Lake, China".REMOTE SENSING 9.6(2017):19.
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