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Details of the Faculty or Staff
Name   Gao, Yang Home Page     
Highest Education      Ph.D. Office      Building 3,Courtyard 16, Lin Cui Road, Chaoyang District, Beijing P.R. China
Phone      010-8409 7052 Zip Code      100101
Fax      Email      yanggao@itpcas.ac.cn

Education and Appointments:

Professional employment:

  2009.11.- Present,Associate Professor, Institute of Institute of Tibetan Plateau Research, Chinese Academy of Sciences

  2009.7.-2011.10., Postdoctoral Fellow, Institute of Institute of Tibetan Plateau Research, Chinese Academy of Sciences

Educational background:

  1999.9.-2003.7. Resource Environments and Urban Planning & Management, Faculty of Earth Sciences, China University of Geosciences (WuHan), B.S.

  2001.2.-2003.7. Computer Science and Technology, College of Computer Science & Technology, Huazhong University of Science & Technology, B.E.

  2003.9.-2009.6. Cartography and Geographic Information Engineering, Graduate School of China University of Geosciences (WuHan), Ph.D.

  2007.9.-2009.5. Laboratory for Remote Sensing and Geoinformatics, University of Texas at San Antonio, Combined training Ph.D.

Research Interest:

Mainly focus on remote sensing observed snow and glacier change under global warming and its environmental effect

Public Services:

Selected Publications:
  1. Yang Xiang, Yang Gao *, Tandong Yao,2014.Glacier change in the Poiqu River basin inferred from Landsat data from 1975 to 2010. Quaternary International ,349,392-401.
  2. Weicai Wang,* Yang Xiang,Yang Gao, Anxin Lu, Tandong Yao,2014. Rapid expansion of glacial lakes caused by climate and glacier retreat in the Central Himalayas, Hydrological processes ,DOI: 10.1002/hyp.10199
  3. Gao,Y., Xie,H.J. & Yao,T.D. (2011). Developing snow cover parameters maps from MODIS, AMSR-E and blended snow products, Photogrammetric Engineering and Remote Sensing, 77(4),351-361.
  4. Gao,Y., Lu, N. & Yao,T.D. (2011).Evaluation of a cloud-gap-filled MODIS daily snow cover product over the Pacific Northwest USA, Journal of Hydrology, 404,157-165.
  5. Gao, Y., Xie,H.J., Yao, T.D., & Xue,C.S.(2010). Integrated assessment of multi-temporal and multi-sensor combinations for reducing cloud obscuration of MODIS snow cover products for the Pacific Northwestern USA. Remote sensing of environment,114(8),1662-1675.
  6. Gao, Y., Xie,H.J., Lu, N., Yao, T.D., & Liang,T.G. (2010). Toward advanced daily cloud-free snow cover and snow water equivalent products from Terra-Aqua MODIS and Aqua AMSR-E measurements. Journal of Hydrology ,385(1-4),23-35.
  7. Gao, Y., Xie, H.,Yao, T. et al.(2009). Snow cover spatial and temporal variability across three rivers headstream region of Tibetan Plateau based on MODIS data (2000-2008). The 5th International Symposium on Tibetan Plateau, Beijing, China, August, 2009.
  8. Gao, Y., H. Xie, N. Lu, T. Liang, C. Xue. (2008). Advanced new daily products of cloud-free snow cover area and snow water equivalent from MODIS/Terra-Aqua & AMSR-E measurements. AGU Fall meeting 2008, San Francisco, CA, December 15-19.

Supported Projects:
  1. Tibet innovation group of CAS: The remote sensing interpretation and risk assessment for Zhangzangbu glaciers and glacial lake outburst(2013-2014),P.I.
  2. Natural Science Foundation of China: Snow changes over Himalayas and its response to regional warming (#41001037, 2010-2013), P.I.
  3. Open Fund of State Key Laboratory of Cryospheric Sciences: Spatial-temporal variation of snow changes over typical areas in Tibetan Plateau and its sensitivity against regional temperature (SKLCS 2010-03,2010-2012), P.I.
  4. 47th China Postdoctoral Science Foundation: The effect of the station relative placement to snow remote sensing data validation and its correction (20100470586, 2010-2011), P.I.
  5. NASA Interdisciplinary Science Program: Using satellite data and fully coupled regional hydrologic, ecological and atmospheric models to study complex coastal environmental processes (#NNX07AL79G, 2008-2010); Study the method which used to reduce the cloud coverage in optical snow remote sensing data, and extract snow index for hydrological model.