Shudong Wang Assoc.Professor

Research interests:
remote sensing parameter inversion and its application in eco-hydrological process

Education Experiences:
2004/07-2007/06 Beijing Normal University, Doctor 2001/09-2004/07 China University of Mining & Technology,Beijing, Master 1994/09-1998/07 Hebei University of Engineering,Bachelor.

Work Experiences:
2011/05- ,Institute of Remote Sensing and Digital Earth,CAS, assistant and assoc.Professor 2009/07-2011/05,Research Center for Eco-Enviromnent Sciences,CAS.Postdoctor 2007/07-2009/06,Beijing Normal University,Post doctor 1998/07-2007/09 Hebei University of Engineering,Teacher

  1. Shudong Wang, Muhammad Hasan Ali Baig, Lifu Zhang.et al. A Simple Enhanced Water Index (EWI) for Percent Surface Water Estimation Using Landsat Data.2015,8(1): Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2015.8(1):3892-3902.90-97.
  2. S D Wang*,Y J Wang, S T Yang, et al.Spatially explicit estimation of soil water resources coupling Eco-hydrological model with remote sensing data in Weihe River Basin, China. Journal of Remote Sensing Application.2014.0853653-1~17.
  3. Y J Wang, S D Wang*. Dynamic effects of different vegetation types on soil water and consumption efficiency in Weihe River Basin, China. Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2014.7(9):3892-3902.
  4. Shudong Wang, Yuhe Ji, Zhiyun Ouyang, Lifu Zhang. COMBINING SATELLITE AND GIS DATA TO ANALYZE CHANGES IN TROPICAL FORESTS.ON CENTRAL HAINAN ISLAND IN RESPONSE TO THENATIONAL LOGGING BAN AND ECONOMIC DEVELOPMENT. Fresenius Environmental Bulletin. 24(1b). 2015
  5. S.D Wang, Lifu Zhang, Xia Zhang, Wanqing Li, Tong Shuai, Haitao Zhu and Xiaoping ChenCoupling remote sensing data and ecohydrological model to evaluate Non-point source pollution risk for water resource management. World Journal of Engineering 11(2) (2014) 157-162
  6. Y.J Wang, Shudong Wang*, Shengtian Yang, Yuling Zhao, Mingcheng Wang and Banghui Yang. Application of FY-2 precipitation data in meteorological drought monitoring of the Weihe river basin. World Journal of Engineering 11(5) (2014) 487-493

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