Based on 2015 ESA global land cover data (ESA GlobCover, 300 m grid), combined with the tsinghua university global land cover data (FROM GLC, 30 m grid)、NASA MODIS global land cover data (MCD12Q1, 300 m grid)、the United States Geological Survey (USGS global land data (GFSAD30, 30 m)、Japanese global forest data (PALSAR/PALSAR - 2, 25 m),we build the LUC classification system in the Belt and Road’s region and the rest of the data transformation rules of the classification system.We also build the land cover classification confidence function and the rules of fusing land classification to finish the Integration and modification of land cover products and finally complet the land use data in the Belt and Road’s region V1.0(64 + 1 countries, 2015, 1 km x 1 km grid, the first level classification).

File naming and required software

xx_datayy
xx is dx，meaning the core countries of the Belt and Road
data is luc，meaning the land cover
yy is 2015，meaning the year of 2015

Data Citations Data citation guideline What's data citation?

Cite as:

Xu, E. (2019). Land cover of core countries of the Belt and Road in 2015 (Version 1.0). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Geogra.tpdc.270197. CSTR: 18406.11.Geogra.tpdc.270197. (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)