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


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

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Date: 2017-09-28

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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.

Topicategory
Geography
Language
English
Time begin
2009
Time end
2012
Contributor
Wang Juanle, Zhang Yongjie, Yang Fei, Cao Xiaoming, Bai Zhongqiang, Zhu Junxiang, Chen Eryang, Li Yifan, Ran Yingying Email: ikcest-drr@lreis.ac.cn
Organization
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences.
Access constraints
Sharing Type: Open
Source
Measured in the field.
Contributor agency
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Contributor email
ikcest-drr@lreis.ac.cn
Country id
CN
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.
Data record num
12.2MB
Resperson name
Service group of Disaster Risk Reduction Knowledge Service System of IKCEST
Responsible address
A11 Datun Road, Chaoyang District, Beijing
Responsible email
ikcest-drr@lreis.ac.cn
Responsible postcode
100101
Responsible telephone
010-64889048-8006

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