Landuse/landcover data of the Heihe River Basin (2011)- A Big Earth Data Platform for Three Poles

The land use / land cover data set of Heihe River Basin in 2011 is the Remote Sensing Research Office of Institute of cold and drought of Chinese Academy of Sciences. Based on the remote sensing data of landsatm and ETM in 2011, combined with field investigation and verification, a 1:100000 land use / land cover image and vector database of Heihe River Basin is established. The main contents include: 1:100000 land use graph data and attribute data of Heihe River Basin. The land cover data of 1:100000 (2011) in Heihe River Basin and the previous land cover are classified into six first-class categories (cultivated land, forest land, grassland, water area, urban and rural residents, industrial and mining land and unused land) and 25 second-class categories by the same hierarchical land cover classification system. The data type is vector polygon and stored in shape format.

This data respects the opinion of the data author, and cannot share the whole basin data temporarily. Please indicate the research scope and exact purpose on the data application.

File naming and required software

. SHP format storage

Data Citations Data citation guideline What's data citation?

Cite as:

Wang, J. (2014). Landuse/landcover data of the Heihe River Basin (2011). A Big Earth Data Platform for Three Poles, DOI: 10.3972/heihe.093.2014.db. CSTR: 18406.11.heihe.093.2014.db. (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

(No:91025001)

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)