Sep 2006 - Jul 2012	PhD Degree Chinese Academy of Sciences, Institute of Geographical Sciences and Natural resource research, Beijing, China
Sep 2002 – Jul 2006	Bachelor Degree Beijing Normal University, Beijing, China

   

Mar 2022 – Present

Professor Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, Sichuan, China

Nov. 2015 – Mar 2022

Associate Professor Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, Sichuan, China

Jul 2012 – Nov 2015

Research   Assistant Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, Sichuan, China

• Estimation and validation of mountain surface water-heat variables

• Mountain eco-environment monitoring

• Mountain thermal environment monitoring and assessment

• Mountain geohazards inventory and assessment

[1] Zhao, W., Yang, M., Chang, R., Zhan, Q., & Li, Z.-L. (2021). Surface Warming Trend Analysis Based on MODIS/Terra Land Surface Temperature Product at Gongga Mountain in the Southeastern Tibetan Plateau. Journal of Geophysical Research: Atmospheres, 126, e2020JD034205

[2] Zhao, W., F. Wen, Q. Wang, N. Sanchez, and M. Piles (2021), Seamless downscaling of the ESA CCI soil moisture data at the daily scale with MODIS land products, Journal of Hydrology, 603, 126930, doi: 10.1016/j.jhydrol.2021.126930.

[3] Zhao, W., Li, X., Wang, W., Wen, F., and Yin, G.*. (2021). DSRC: An Improved Topographic Correction Method for Optical Remote-Sensing Observations Based on Surface Downwelling Shortwave Radiation. IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2021.3083754.

[4] Zhao, W., & Duan, S. B. (2020). Reconstruction of daytime land surface temperatures under cloud-covered conditions using integrated MODIS/Terra land products and MSG geostationary satellite data. Remote Sensing of Environment, 247, 111931.

[5] Zhao, W.*, Xiong, D., Wen, F., Wang, X., 2020. Lake area monitoring based on land surface temperature in the Tibetan Plateau from 2000 to 2018. Environmental Research Letters 15, 084033.

[6] Wen, F., Zhao, W.*, Wang, Q., & Sánchez, N. (2020). A Value-Consistent Method for Downscaling SMAP Passive Soil Moisture with MODIS Products Using Self-Adaptive Window. IEEE Transactions on Geoscience and Remote Sensing, 58, 913-924

[7] Yin, G., Cao, B., Li, J., Fan, W., Zeng, Y., Xu, B., & Zhao, W.* (2020). Path Length Correction for Improving Leaf Area Index Measurements Over Sloping Terrains: A Deep Analysis Through Computer Simulation. IEEE Transactions on Geoscience and Remote Sensing, 1-17

[8] Wang, W., Yin, G., Zhao, W.*, Wen, F., & Yu, D. (2020). Spatial Downscaling of MSG Downward Shortwave Radiation Product Under Clear-Sky Condition. IEEE Transactions on Geoscience and Remote Sensing, 58, 3264-3272

[9] Zhao, W., Wu, H., Yin, G., & Duan, Si-Bo (2019). Normalization of the temporal effect on the MODIS land surface temperature product using random forest regression. ISPRS Journal of Photogrammetry and Remote Sensing, 152: 109-118

[10] Zhao, W., He, J., Yin, G., Wen, F., & Wu, H. (2019). Spatiotemporal Variability in Land Surface Temperature Over the Mountainous Region Affected by the 2008 Wenchuan Earthquake From 2000 to 2017. Journal of Geophysical Research: Atmospheres, 124, 1975-1991

[11] Zhao, W., Duan, S.-B., Li, A., & Yin, G. (2019). A practical method for reducing terrain effect on land surface temperature using random forest regression. Remote Sensing of Environment, 221, 635-649

[12] Zhao, W., He, J., Wu, Y., Xiong, D., Wen, F. & Li, A.*, (2019). An Analysis of Land Surface Temperature Trends in the Central Himalayan Region Based on MODIS Products. Remote Sensing, 11(8), p.900.

[13] Zhao, W., Sánchez, N., Lu, H., & Li, A. (2018). A spatial downscaling approach for the SMAP passive surface soil moisture product using random forest regression. Journal of Hydrology, 563, 1009-1024

[14] Zhao, W., Sánchez, N., & Li, A. (2018). Triangle Space-Based Surface Soil Moisture Estimation by the Synergistic Use of in situ Measurements and Optical/Thermal Infrared Remote Sensing: An Alternative to Conventional Validations. IEEE Transactions on Geoscience and Remote Sensing, 56, 4546-4558

[15] Zhao, W., Li, A., & Zhao, T. (2017). Potential of Estimating Surface Soil Moisture with the Triangle-Based Empirical Relationship Model. IEEE Transactions on Geoscience and Remote Sensing, 55 (11), 6494 - 6504

[16] Zhao, W., Li, A., Jin, H., Zhang, Z., Bian, J., & Yin, G. (2017). Performance Evaluation of the Triangle-Based Empirical Soil Moisture Relationship Models Based on Landsat-5 TM Data and In Situ Measurements. IEEE Transactions on Geoscience and Remote Sensing, 55 (5), 2632-2645

Welcome PhD and Master degree applications from the field of remote sensing, hydrology, meteorology, and ecology.