Spatial and Temporal Variation of temperate grassland types in Eurasia - China Regional Three-level Classification (1980S)- A Big Earth Data Platform for Three Poles

This data set is a spatial and temporal variation map of temperate grassland types in Eurasia, China regional classification map (1980S).The data is in TIF raster format, and the spatial resolution is 1km. The values of the three-level classification of thermal grassland are 1-8, respectively: :1- Temperate meadow grassland;2- Typical temperate grassland;3- Temperate desertification grassland;4- Temperate grassland desert;5- temperate desert and three non-temperate grassland types (6- alpine grassland, 7- other vegetation area, 8- non-vegetation area).

Based on the data set of vegetation map of the people's Republic of China (1:1 000 000 000) hosted by the Institute of Botany, Chinese Academy of Sciences, and combined with historical and meteorological data, the vegetation map of the people's Republic of China contains 11 vegetation type groups, 55 vegetation types and 960 vegetation types in 1980s Based on the historical meteorological data from 1980 to 1989, combined with satellite data for further analysis and correction, and spatial interpolation calculation, we obtained the three-level classification of temperate grassland in China. The data can be used to analyze the spatial and temporal variation of temperate grassland in Eurasia.

File naming and required software

The file naming rule is: region + time + subject.

Data Citations Data citation guideline What's data citation?

Cite as:

Tang, J. (2020). Spatial and Temporal Variation of temperate grassland types in Eurasia - China Regional Three-level Classification (1980S). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Ecolo.tpdc.270904. CSTR: 18406.11.Ecolo.tpdc.270904. (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.

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

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