Name 

Wei ZHAO 

Professional  

Title 

Associate Professor 

Address  

No. 9, Block 4, Renminnanlu Road, Chengdu, 610041, People’s Republic of China  

E-mail 

zhaow@imde.ac.cn 

Professional  

Expertise 

Land surface water and heat exchange monitoring by remote sensing method, land surface soil moisture estimation and scaling effect, mountain eco-environment monitoring based spatial technology 

Education 

Employment Record (including international working experience ) 

Running Projects 

[1] The General Program of National Natural Science Foundation of China 

[2] The Youth Innovation Promotion Association CAS 

[3] The 135 Strategic Program of the Institute of Mountain Hazards and Environment, CAS, 

[4] The CAS “Light of West China” Program 

Academic Society Activities 

[1] Member of Geoscience & Remote Sensing Society, IEEE 

[2] Secretary of the Professional Committee of Digital Mountain, Chinese National Committee of International Society of Digital Earth 

[3] Vice Secretary of the Mountain Branch of the Geographical Society of China 

[4] Secretary of the Sino-Nepal Joint Research Center for Geography, the Ministry of Science and Technology of the People’s Republic of China 

Awards 

[1] 2012 Outstanding doctoral graduate thesis Award of the Institute of Geographic Sciences and Natural Resources Research 

[2] 2015 Outstanding oral presentation, International Symposium on Earth Observation for One Belt and One Road, 

[3] 2017 The 14th National Youth Geography Science and Technology Award of the Geographical Society of China 

[4] 2017 The 3rd Youth Geography Science and Technology Award of the Geographical Society of Sichuan 

[5] 2017 Innovation program for youth talent of the National Remote Sensing Center 

Publications  

Journal Publications: 

[1] 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. 

[2] 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, online, DOI: 10.1029/2018JD030007. 

[3] 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. 

[4] 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. 

[5] Zhao, W., Li A., Huang Q., Gao Y., Li F., & Zhang L. (2019). An improved method for assessing vegetation cooling service in regulating thermal environment: A case study in Xiamen, China. Ecological Indicators, 98: 531-42. doi: https://doi.org/10.1016/j.ecolind.2018.11.033. 

[6] He, J., Zhao, W.*, Li, A., Wen, F., & Yu, D. (2019). The impact of the terrain effect on land surface temperature variation based on Landsat-8 observations in mountainous areas. International Journal of Remote Sensing, 40, 1808-1827.  

[7] Li, A., Deng, W., Zhao, W.*, Liu, B., Zhang, J., Kong, B., Nan, X., Bian, J., Koirala, H.L., Gilani, H., Sati, V.P., Gomes, P.I.A., & Khanal, N.R. (2018). A geo-spatial database about the eco-environment and its key issues in South Asia. Big Earth Data, 2, 298-319. 

[8] 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. 

[9] 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. 

[10] 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. 

[11] Zhao, W., Li, A., Nan, X., Zhang, Z., & Lei, G. (2017). Postearthquake Landslides Mapping from Landsat-8 Data for the 2015 Nepal Earthquake Using a Pixel-Based Change Detection Method. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10 (5), 1758-1768. 

[12] 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. 

[13] Huang, P., Zhao, W.*, & Li, A. (2017). The Preliminary Investigation on the Uncertainties Associated with Surface Solar Radiation Estimation in Mountainous Areas. IEEE Geoscience and Remote Sensing Letters, 14 (7), 1071-1075. 

[14] Xia, H.#, Zhao, W.#, Li, A., Bian, J., & Zhang, Z. (2017). Subpixel Inundation Mapping Using Landsat-8 OLI and UAV Data for a Wetland Region on the Zoige Plateau, China. Remote Sensing, 9 (1), 31.  

[15] Zhao, W., & Li, A. (2015). A Review on Land Surface Processes Modelling over Complex Terrain. Advances in Meteorology, 2015, 17.  

[16] Li, A., Zhao, W.*, & Deng, W. (2015). A Quantitative Inspection on Spatio-Temporal Variation of Remote Sensing-Based Estimates of Land Surface Evapotranspiration in South Asia. Remote Sensing, 7, 4726-4752.  

[17] Zhao, W., & Li, A. (2015). A comparison study on empirical microwave soil moisture downscaling methods based on the integration of microwave-optical/IR data on the Tibetan Plateau. International Journal of Remote Sensing, 36, 4986-5002.  

[18] Zhao, W., Li, A., & Deng, W. (2014). Surface Energy Fluxes Estimation Over the South Asia Subcontinent Through Assimilating MODIS/TERRA Satellite Data with In Situ Observations and GLDAS Product by SEBS Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7, 3704-3712.  

[19] Zhao, W., Li, A., Bian, J., Jin, H., & Zhang, Z. (2014). A Synergetic Algorithm for Mid-Morning Land Surface Soil and Vegetation Temperatures Estimation Using MSG-SEVIRI Products and TERRA-MODIS Products. Remote Sensing, 6, 2213-2238.  

[20] Zhao, W., & Li, A. (2013). A Downscaling Method for Improving the Spatial Resolution of AMSR-E Derived Soil Moisture Product Based on MSG-SEVIRI Data. Remote Sensing, 5, 6790-6811.  

[21] Zhao, W., & Li, Z.-L. (2013). Sensitivity study of soil moisture on the temporal evolution of surface temperature over bare surfaces. International Journal of Remote Sensing, 34, 3314-3331.  

[22] Zhao, W., Li, Z.-L., Wu, H., Tang, B.-H., Zhang, X., Song, X., & Zhou, G. (2013). Determination of bare surface soil moisture from combined temporal evolution of land surface temperature and net surface shortwave radiation. Hydrological Processes, 27, 2825-2833. 

Books 

[1] A. Li, W. Deng, and W. Zhao, "Land Cover Change and Its Eco-environmental Responses in Nepal," ed: Springer, 2017. 

[2] Deng Wei、Li Ainong et al. South Asia Geography. Sichuan Science and Technology Press, 2016. (Chapter 3, 7, 8, 12, and 13)In Chinese) 

[3] Li Ainong eds. Mountain Remote sensing. Science press, 2016(Chapter 7, 8, and 9)(In Chinese)