This data is from "China 1:100,000 land use data".China 1:100,000 land use data was constructed in three years based on Landsat MSS, TM and ETM remote sensing data by using satellite remote sensing as a means to organize remote sensing science and technology teams from 19 institutes affiliated to the Chinese academy of sciences (cas) in the "eighth five-year plan" major application project "national macro survey and dynamic research on remote sensing of resources and environment".The land use data of guizhou province adopts a hierarchical land cover classification system, which divides the country into 6 primary categories (arable land, forest land, grassland, water area, urban and rural areas, industrial and mining areas, residential land and unused land) and 31 secondary categories.It is the most accurate land use data product in China and has played an important role in national land resource survey, hydrological and ecological research.

File naming and required software

File name: data is stored in vector SHP format, file name "Landuse_Guizhou_2000".
Data reading: Arcgis, Qgis and other remote sensing software can be used to open and read.

Data Citations Data citation guideline What's data citation?

Cite as:

Liu, J., Zhuang, D., Wang, J., Wu, S., Zhou, W. (2013). 1:100000 landuse dataset of Guizhou province (2000). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Socioeco.tpdc.270653. CSTR: 18406.11.Socioeco.tpdc.270653. (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.Youhua Ran, Xin Li & Ling Lu (2010): Evaluation of four remote sensing based land cover products over China, International Journal of Remote Sensing, 31:2, 391-401. (View Details | Download )

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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