Land use data set in Central Asia l(1970, 2005, 2015)

Land use data set in Central Asia l(1970, 2005, 2015)


In 1970, land use was visually interpreted from MSS images, with an overall interpretation accuracy of more than 90%. Land classification was carried out in accordance with the land use classification system of the Chinese Academy of Sciences. For detailed classification rules, please read the data description document.

The 2005 and 2015 data sets were collected from the European Space Agency (ESA) Data acquisition of global land cover types includes five Central Asian countries (Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan and Uzbekistan) and Xinjiang, China. There are 22 land use types in the data set. The IPCC land use classification system is adopted. Please refer to the documentation for specific classification details.


File naming and required software

MSS-TM_ 1970s: land use and land cover of Central Asia in 1970
CCI-2005-2015: land use and land cover in Central Asia and Xinjiang, China in 2005 and 2015


Data Citations Data citation guideline What's data citation?
Cite as:

Luo, G. (2021). Land use data set in Central Asia l(1970, 2005, 2015). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Geogra.tpdc.271132. CSTR: 18406.11.Geogra.tpdc.271132. (Download the reference: RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

Copyright & License

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License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


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Keywords
Geographic coverage
East: 96.40 West: 46.50
South: 34.30 North: 55.40
Details
  • Temporal resolution: Yearly
  • Spatial resolution: 100m - 1km
  • File size: 9 MB
  • Views: 5235
  • Downloads: 98
  • Access: Requestable
  • Temporal coverage: 2015
  • Updated time: 2022-04-19
Contacts
: 张弛   LUO Geping   

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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