1:100000 landuse dataset of Gansu province (2000)- A Big Earth Data Platform for Three Poles

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".

According to the 1:100,000 land use data of gansu province, a hierarchical land cover classification system is adopted, which divides the whole 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: the data is stored in the format of vector SHP, and the file name is Gansu-2000;
Data reading: it can be opened and read by remote sensing software such as ArcGIS and QGIS.

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Cite as:

Liu, J., Zhuang, D., Wang, J., Zhou, W., Wu, S. (2013). 1:100000 landuse dataset of Gansu province (2000). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Socioeco.tpdc.270513. CSTR: 18406.11.Socioeco.tpdc.270513. (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.Li, Z., Liu, W., Zhang, X., & Zheng, F. (2009). Impacts of land use change and climate variability on hydrology in an agricultural catchment on the loess plateau of china. Journal of Hydrology, 377(1), 35-42. doi:10.1016/j.jhydrol.2009.08.007 (View Details )

4.LIU Chao,LU Ling,HU Xiao-li. Comparison Analysis on Digital Soil Texture Mapping in an area of Zhangye,Heihe River Basin. Remote Sensing Technology and Application, 2011, 26(2): 177-185. (View Details )

5.Fan Wan, Zhen Wang, Fengmin Li, Huhua Cao, & Guojun Sun. (2008). Gis-Based Crop Support System For Common Oatand Naked Oat in China. International Conference on Computer and Computing Technologies in Agriculture. Springer, Boston, MA. (View Details )

6.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 )

7.Xie, Y.M., Jin, R, & Yang, X.G. (2013). Algorithm development of monitoring daily near surface freeze/thaw cycles using amsr-e brightness temperatures. Remote Sensing Technology and Application, 28(2). (View Details )

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