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Dataset of desertification related land cover distribution along China-Mongolia railway (Mongolia section) in 2015

Dataset of desertification related land cover distribution along China-Mongolia railway (Mongolia section) in 2015

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Date: 2018-12-13

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This dataset was the land cover distribution data related to desertification along the China-Mongolia railway (Mongolia section) in 2015. This dataset used the object-oriented remote sensing image interpretation method to obtain the desertification data with a resolution of 30 meters along the China-Mongolia railway (Mongolia section) in 2015. It was collected and organized by the Institute of Geographic Sciences and Natural Resources Research, CAS. It can be used to study the risk assessment of desertification in China-Mongolia railway, providing an important basis for preventing sandstorms, floods and other disasters caused by desertification and alleviating the negative impact of desertification.

Topicategory
Geography
Language
English
Contributor
Wang Juanle, et al. 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
Landsat 8 remote sensing images downloaded from the USGS website
Contributor agency
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Contributor email
ikcest-drr@lreis.ac.cn
Country id
MN
Data citation
Dataset of desertification related land cover distribution along China-Mongolia railway (Mongolia section) in 2015. Disaster Risk Reduction Knowledge Service of International Knowledge Centre for Engineering Sciences and Technology (IKCEST) under the Auspices of UNESCO, 2018.11.28, http://drr.ikcest.org/info/91462.
Data record num
130 MB
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
Last Modified
2018/11/28
Data format
Shp
Subject
Geography

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