China historical land use data set (1990-2015)- A Big Earth Data Platform for Three Poles

Provide detailed spatial distribution of land cover types in China from 1990 to 2015, with spatial accuracy of 0.25 ° and geographic coordinate system of WGS84. Each grid shows the ratio of land use type to grid area (0-1). The data comes from the global land use spatial distribution map of the University of Maryland. The historical homogenized land use data of China is obtained by linear interpolation of the original data, extraction of Chinese regional mask and transformation of coordinate system, and saved in geotiff file format. The methods and standards of data over the years are consistent, the coverage is complete, and the collection and processing process is traceable and reliable. It has realized the homogenization of existing population data products, providing a basis for analyzing the laws of human elements, the interaction mechanism of human elements and natural elements.

File naming and required software

File name: land use data is stored in GeoTIFF format. The file name is "landusetype_yyyy. TIF", where landusetype stands for land use type and yyyy stands for year. For example, c3ann_ 1990. TIF represents the land distribution for planting annual C3 crops in China in 1990.
Data reading method: it can be opened with ArcGIS, R / Python and other programming languages. Each grid shows the ratio of land use type to grid area (between 0 and 1).

Data Citations Data citation guideline What's data citation?

Cite as:

Wang, C., Wang, J. (2022). China historical land use data set (1990-2015). A Big Earth Data Platform for Three Poles, (Download the reference： RIS | Bibtex )

Related Literatures:

1. Hurtt, G.C., Chini, L., Sahajpal, R., Frolking, S., Bodirsky, B.L., Calvin, K., & Zhang, X, et al. (2020). Harmonization of global land use change and management for the period 850–2100 (LUH2) for CMIP6. Geoscientific Model Development, 13(11), 5425-5464.( View Details | Bibtex)

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

Support Program

Interaction and regional performance of natural and human factors on land surface driven by global change (No:2017YFA06036001)

Copyright & License

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