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Inversion dataset of chlorophyll-a concentration from 2009 to 2012 in Poyang Lake, China

Chlorophyll-a concentration is an important indicator of eutrophication. The methodology for the dataset processing was as follows: first, water body spectral information of Poyang Lake was measured in the field, and a spectral index was constructed based on the analysis of the spectral characteristics of the water. Then sensitive band intervals were calculated by regression analysis, based on the least squares method combined with measured chlorophyll-a concentration data. MODIS data was used to build chlorophyll-a concentration estimation models of Poyang Lake by a semi-empirical method and the accuracy of the results was verified. Finally, chlorophyll-a concentration distribution data of Poyang Lake in January, April, July, and October from 2009 to 2012 was inversed using these models.

Data format
Subject
Geography
Data Level
Rough
Data time series
Short
temperal
Modern times
spatial
Place
resolution
Low
Country ID
CN
Data Size
12.2MB MB
Contributor Name
Wang Juanle, Zhang Yongjie, Yang Fei, Cao Xiaoming, Bai Zhongqiang, Zhu Junxiang, Chen Eryang, Li Yifan, Ran Yingying
Contributor Email
ikcest-drr@lreis.ac.cn
Contributor Agency
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Creation time
2014.12.30
Resplnst Name
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
RespInst Address
A11 Datun Road, Chaoyang District, Beijing
RespInst Postcode
100101
ResPerson Name
Service group of Disaster Risk Reduction Knowledge Service System of IKCEST
ResPerson Email
ikcest-drr@lreis.ac.cn
ResPerson Telephone
010-64889048-8006
Update Frequency
Irregular updates
Version
1
Data Citation
Inversion dataset of chlorophyll-a concentration from 2009 to 2012 in Poyang Lake, China. Disaster Risk Reduction Knowledge Service of International Knowledge Centre for Engineering Sciences and Technology (IKCEST) under the Auspices of UNESCO, 2014.12.30. http://drr.ikcest.org/info/3b60.
Last Modified
Organization
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences.
Accessconstraints
Sharing Type: Open
Time Begin
2009
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