Login   |      Register
English    中文


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

Label :

Date: 2018-12-13

View counts: 1775

View Document Log in

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.

Data format
Subject
Geography
Data Level
Fine
Data time series
No
temperal
Modern times
spatial
Country
resolution
High
Country ID
MN
Data Size
130 MB MB
Contributor Name
Wang Juanle, et al
Contributor Email
ikcest-drr@lreis.ac.cn
Contributor Agency
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Creation time
2018.11.18
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
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.
Last Modified
2018.11.28
Organization
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Accessconstraints
Sharing Type: Open
   Sign in for comments!

Comment list ( 0 )

 

Information evaluation