General

Name: Liu Qingsheng     
Email:liuqs@lreis.ac.cn  
Fax: 86-10-64889630
Address: 11A DaTun Road
               AnWai, Beijing 100101
               People's Republic of China


Research Areas

Analysis and application of remote sensing information


Education

From September 1996 to July 1999: Studied for Doctoral degree in Institute of Remote Sensing Applications, Chinese Academy of Sciences 
From September 1993 to July 1996: Studied for Master’s degree in Department of Geology and Mineral Exploration, China University of Geosciences (Beijing)
From September 1989 to July 1993: Studied for Bachelor degree in Department of Mineral Exploration, China University of Geosciences (Wuhan)

Experience

   
Work Experience

Since 2021: Has been working as a professor at State Key Laboratory of Resources and Environment Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences.

From 2001 to 2020: An associate professor at State Key Laboratory of Resources and Environment Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences.

From 1999 to 2001: A postdoctoral scientist in Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, and paid attention to evolution of the Yellow River Delta, China.


Publications

   
Papers

  1. Shi L., Liu Q.S.,Huang C., Gao X., Li H., Liu G.H. Mapping quasi-circular vegetation patch dynamics in the Yellow River Delta, China, between 1994 and 2016. Ecological Indicators, 2021, 126, 107656.

  2. Liu Q.S.,Huang C., Li H. Mapping plant communities within quasi-circular vegetation patches using GF-1 tasseled cap brightness, greenness, and topsoil grain size index derived from GF-1 imagery. Earth Science Informatics, 2021, 14, 975-984.

  3. Shi L., Liu Q.S.,Huang C., Li H., Liu G.H. Comparing pixel-based random forest and the object-based support vector machine approaches to map the quasi-circular vegetation patches using individual seasonal fused GF-1 imagery. IEEE Access, 2020, 8, 228955-228966.

  4. Liu Q.S. Mapping quasi-circular vegetation patches in the fused GF-2 imagery based on tasseled cap, watershed and circular hough transformation. Basic & Clinical Pharmacology & Toxicology, 2020, Suppl. 1, 9.

  5. Liu Q.S.,Huang C., Li H. Quality assessment by region and land cover of sharpening approaches applied to GF-2 imagery. Applied Sciences, 2020, 10(11), 3673. 

  6. Liu Q.S., Liu G.H., Huang C., Li H. Variation in soil bulk density and hydraulic conductivity within a quasi-circular vegetation patch and bare soil area, Journal of Soils and Sediments, 2020, 20: 2019-2030.

  7. Yu B.W., Liu G.H., Liu Q.S. Effects of land use changes for ecological restoration on soil moisture on the Chinese Loess Plateau: a meta-analytical approach. Journal of Forestry Research, 2020, 31(2): 443-452.

  8. Liu, Q.S., Liu, G.H., Huang, C., Li, H. Soil physicochemical properties associated with quasi-circular vegetation patches in the Yellow River Delta, China. Geoderma, 2019, 337, 202-214.

  9. Liu, Q.S., Song, H.W., Liu, G.H., Huang, C., Li, H. Evaluating the potential of multi-seasonal CBERS-04 imagery for mapping the quasi-circular vegetation patches in the Yellow River Delta using random forest. Remote Sens. 2019, 11(10), 1216.

  10. Liu, Q.S., Liu, G.H., Huang, C., Li, H. Remote sensing monitoring of surface characteristics in the Badain Jaran, Tengger, and Ulan Buh deserts of China. Chin. Geogra. Sci., 2019, 29(1), 151-165.

  11. Liang L., Liu, Q.S., Liu G.H., Li H., Huang C. Accuracy Evaluation and Consistency Analysis of Four Global Land Cover Products in the Arctic Region. Remote Sens. 2019, 11(12), 1396.

  12. Liu Q.S., Liu G.H., Huang C. Monitoring desertification processes in Mongolian Plateau using MODIS tasseled cap transformation and TGSI time series. Journal of Arid Land, 2018, 10(1): 12-26.

  13. Liu Q.S., Huang C., Liu G.H., Yu B.W. Comparison of CBERS-04, GF-1, and GF-2 Satellite Panchromatic Images for Mapping Quasi-Circular Vegetation Patches in the Yellow River Delta, China. Sensors ,2018, 18, 2733.

  14. Yu B.W., Liu G.H., Liu Q.S., Wang X.P., Feng J.L., Huang C. Soil moisture variations at different topographic domains and land use types in the semi-arid Loess Plateau, China, Catena, 2018, 165: 125-132.

  15. Yu B.W., Liu G.H., Liu Q.S., Feng J.L., Wang X.P., Han G.Z., Huang C. Effects of micro-topography and vegetation type on soil moisture in a large gully on the Loess Plateau of China. Hydrology Research, 2018, 49(4), 1255-1270.

  16. Liu Q.S., Liu G.H., Huang C., Xie C.J., Chu L., Shi L. Comparison of tasselled cap components of images from Landsat 5 Thematic Mapper and Landsat 7 Enhanced Thematic Mapper Plus, Journal of Spatial Science, 2016, 61(2): 351-365.

  17. Liu Q.S., Liu G.H., Huang C., Xie C.J. Comparison of tasselled cap transformations based on the selective bands of Landsat 8 OLI TOA reflectance images. International Journal of Remote Sensing, 2015, 36(2), 417-441.

  18. Liu Q.S., Liu G.H., Huang C., Xie C.J. Using SPOT 5 Fusion-ready Imagery to Detect Chinese Tamarisk (Saltcedar) with mathematical morphological method, International Journal of Digital Earth, 2014, 7(3), 217-228.


Research Interests

Remote Sensing image processing
Analysis and application of remote sensing information
Vegetation pattern formation in arid and semi-arid region