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Estimation of Grassland Production in the Three-River Source Region Based on Remote Sensing, 2006-2015


Estimation of Grassland Production in the Three-River Source Region Based on Remote Sensing, 2006-2015

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Date: 2018-05-31

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An accurate estimation of grassland production can provide scientific basis for informed decision-making on regional resource exploitation and socio-economic sustainable development. The dateset of grassland production in the Three-River Source Region contains information on the temporal and spatial changes of grassland production in the region from 2006 to 2015. The data sources of this dataset are measurement data, remote sensing data and auxiliary data. This dataset use MOD13Q1, MOD17A2, and MOD17A2H remote sensing data as data sources, the data resolution is 500m. With the ArcGIS software platform, data preprocessing such as projection conversion, boundary cutting was performed. The grassland production in the Three-River Source Region was estimated by statistical modeling and optimal model selection.

Topicategory
Geography
Language
English
Time begin
2006
Time end
2015
Contributor
Lv xin, Wang Juanle . Email: ikcest-drr@lreis.ac.cn
Organization
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, A11 Datun Road, Chaoyang District, Beijing, 100101
Access constraints
Sharing Type: Open
Service type
Data citation: Estimation of Grassland Production in the Three-River Source Region Based on Remote Sensing, 2006-2015. Disaster Risk Reduction Knowledge Service of International Knowledge Centre for Engineering Sciences and Technology (IKCEST) under the Auspices of UNESCO, 2018.5.24. http://drr.ikcest.org/info/92360.
Contributor agency
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Contributor email
lig@lreis.ac.cn
Country id
CN
Data citation
Estimation of Grassland Production in the Three-River Source Region Based on Remote Sensing, 2006-2015. Disaster Risk Reduction Knowledge Service of International Knowledge Centre for Engineering Sciences and Technology (IKCEST) under the Auspices of UNESCO, 2018.5.24. http://drr.ikcest.org/info/92360.
Data record num
17MB
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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   343759538@qq.com   2020-06-03 17:43:36      

how to download your data?

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   fangzaiyyl    2021-12-09 15:11:53

Please register first, and login, then you can find the download button.