中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spatiotemporal Variation in Particulate Organic Carbon Based on Long-Term MODIS Observations in Taihu Lake, China

文献类型:期刊论文

作者Huang, Changchun1,2; Jiang, Quanliang1; Yao, Ling3,4; Li, Yunmei1,5,6; Yang, Hao1,6; Huang, Tao1,6; Zhang, Mingli1
刊名REMOTE SENSING
出版日期2017-06-01
卷号9期号:6页码:19
关键词carbon cycle remote sensing eutrophic lake
ISSN号2072-4292
DOI10.3390/rs9060624
通讯作者Yao, Ling(yaoling@lreis.ac.cn)
英文摘要In 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.
WOS关键词TURBID INLAND WATERS ; PEARL RIVER ESTUARY ; SOUTHERN NORTH-SEA ; CHLOROPHYLL-A ; OPTICAL-PROPERTIES ; SUSPENDED MATTER ; GLOBAL OCEAN ; POC ; VARIABILITY ; FLUXES
资助项目National 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
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000404623900115
出版者MDPI AG
资助机构National 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
源URL[http://ir.igsnrr.ac.cn/handle/311030/62942]  
专题中国科学院地理科学与资源研究所
通讯作者Yao, Ling
作者单位1.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
推荐引用方式
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.

入库方式: OAI收割

来源:地理科学与资源研究所

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