This data was derived from "1: 100,000 Land Use Data of China". Based on Landsat MSS, TM and ETM remote sensing data, 1: 100,000 Land Use Data of China was compiled within three years by a remote sensing scientific and technological team of 19 research institutes affiliated to the Chinese Academy of Sciences, which was organized by the “Remote Sensing Macroinvestigation and Dynamic Research on the National Resources and Environment", one of the major application programs in Chinese Academy of Sciences during the "Eighth Five-year Plan". This data adopts a hierarchical land cover classification system, which divides the country into 6 first-class categories (cultivated land, forest land, grassland, water area, urban and rural areas, industrial and mining areas, residential land and unused land) and 31 second-class categories. This is the most accurate land use data product in our country at present. It has already played an important role in national land resources survey, hydrology and ecological research.

File naming and required software

The data format is the coverage format supported by ARCINFO. For coding information, please refer to the relevant text file (Land Resources Classification System.doc)

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Cite as:

Wang, J., Liu, J., Zhuang, D., Zhou, W., Wu, S. (2014). 1:100,000 landuse dataset of Qinghai province (1980s). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Socioeco.tpdc.270651. CSTR: 18406.11.Socioeco.tpdc.270651. (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.

References literature

1.Liu, J.Y., Liu, M.L., Zhuang, D.F., Zhang, Z.X., & Deng, X.Z. (2003). Study on spatial pattern of land-use change in China during 1995—2000, Science in China (D), 46(4), 373-384. (View Details | Download )

2.Lin, G.H., Cai, Z.Y., Zhang, T.Z., Su, J.P., & Thirgood, S.J. (2008). Genetic diversity of the subterranean Gansu zokor in a semi-natural landscape[J]. Journal of Zoology, 275(2), 153–159. doi:10.1111/j.1469-7998.2008.00423.x (View Details )

3.Liu, J., & Deng, X. (2010). Progress of the research methodologies on the temporal and spatial process of LUCC. Chinese Science Bulletin. 55, 1354–1362. https://doi.org/10.1007/s11434-009-0733-y. (View Details )

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