Land-Use Status



A new land-use status classification system is developed based on the first land-use status survey of Tibet Autonomous Region (TAR) to be applicable for mapping land-use status in Tibet with different spatial scales of remote sensing data from aerial photograph to orbit satellite. It is a hierarchically based three-level classification system and contains 8 level I, 34 level II, and 12 level III. Land-use status map for the Lhasa area located at central Tibetan Plateau is made based on the color infrared aerial photographs and Landsat Thematic Mapper (TM) using proposed classification system. Results show that in the Lhasa area the grassland covers the largest area extent with 71.48% of total land area, followed by unused land (16.88%) and water body (5.25%). Other land-use types account for less than 4%. Among these, cultivated land is 70021.72 ha., covering 2.37% of total land area, and is distributed in all counties except Damshung County in the north.


Land-use status land-use classification system Lhasa area Central Tibetan Plateau 


  1. Agricultural and Pastoral Bureau of Lhasa Municipality. 1993. Land resources in Lhasa area, 225–248. Beijing: China Agricultural Science and Technology Press.Google Scholar
  2. Anderson, J.R., E.E. Hardy, J.T. Roach, et al. 1976. A land use and land cover classification system for use with remote sensor data. Washington, DC: Government Printing Office.CrossRefGoogle Scholar
  3. Chu, Y., and J. Liu. 1992. Land use in Tibet autonomous region. Beijing: Science Press.Google Scholar
  4. Chu, D., L. Lu, and T. Zhang. 2007. Sensitivity of normalized difference vegetation index (NDVI) to seasonal and interannual climate conditions in the Lhasa area, Tibetan plateau, China. Arctic, Antarctic, and Alpine Research 39 (4): 635–641.CrossRefGoogle Scholar
  5. Chu, D., Y. Zhang, C. Bianba, et al. 2010. Land use dynamics in Lhasa area, Tibetan plateau. Journal of Geographical Sciences 20 (6): 899–912.CrossRefGoogle Scholar
  6. Di Gregorio, A., and L.J.M. Jansen. 1998. Land Cover Classification System (LCCS): Classification concepts and user manual. For software version 1.0. GCP/RAF/287/ITA Africover-East Africa Project in cooperation with AGLS and SDRN. Nairobi, Rome.Google Scholar
  7. FAO/UNEP. 1997. Negotiating a sustainable future for land: Structural and institutional guidelines for land resources management in the 21st century. Rome: FAO/UNEP.Google Scholar
  8. Gorelick, N., M. Hancher, M. Dixon, et al. 2017. Google Earth engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment 202: 18–27.CrossRefGoogle Scholar
  9. Yu, L., and P. Gong. 2012. Google Earth as a virtual globe tool for Earth science applications at the global scale: Progress and perspectives. International Journal of Remote Sensing 33 (12): 3966–3986.CrossRefGoogle Scholar
  10. Zhang, Z., and D. Chu. 1998. Integrated environmental assessment in the Central Tibet using remote sensing and GIS. Beijing: Yuhang Press.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Duo Chu
    • 1
  1. 1.Tibet Institute of Plateau Atmospheric and Environmental SciencesTibet Meteorological BureauLhasaChina

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