Landuse/landcover data of Zhangye city (2007)
Landuse/landcover data of Zhangye city (2007)

This data set is one of the results of the project "Determination of Cultivated Land Use Coefficient and Land Use Change Research in Zhangye City". It is a land use database in Zhangye City based on Landsat TM and ETM remote sensing data. The land use data adopts a hierarchical land cover classification system, which divides the land use types of Zhangye City into 6 first-class categories (cultivated land, forest land, grassland, water area, land for urban and rural industrial and mining residents and unused land) and 25 second-class categories. The data range includes Shandan, Minle, Linze, Gaotai, Sunan Yugu Autonomous County and Ganzhou District. The classification standard adopts the land use classification standard used by the Chinese Academy of Sciences since 1986. The data type is vector polygon and stored in Shape format. The data range covers Zhangye City.

Data Citations
Cite as:

Hu, X., Wang, J., Li, X. (2015). < b>Landuse/landcover data of Zhangye city (2007)</b>2015. doi: 10.3972/heihe.018.2013.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.

References literature

1.Li Xin, Cheng Guodong, Wu Lizong. Digital Heihe River Basin. 1 : An Information Infrastructure for the Watershed Science. Advances in Earth Science, 2010, 25(3): 297-305. (View Details )

2.LI Xin, WU Lizong, MA Mingguo, GE Yingchun, RAN Youhua, WANG Liangxu, NAN Zhuotong ( Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China) (View Details )

3.Li, X., Nan, Z.T., Cheng, G.D., Ding, Y.J., Wu, L.Z., Wang, L.X., Wang, J., Ran, Y.H., Li, H.X., Pan, X.D., & Zhu, Z.M. (2011). Toward an improved data stewardship and service for environmental and ecological science data in west China. International Journal of Digital Earth, 4(4): 347-359. DOI: 10.1080/17538947.2011.558123. (View Details |Download)

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  • Format: shp
  • File size: 200.86 MB
  • Browse count:12583
  • Temporal coverage:2018-11-26 To 2018-11-26
  • Access: Offline
  • Updated time:2021-04-19

Resource Provider: HU Xiaoli   WANG Jianhua   LI Xin