• Geospatial data fusion

• High-resolution remote sensing

• Lakefront environment

• Human footprint tracing

• Machine learning

• Ph.D., 2018, Geography and Resource Management, The Chinese University of Hong Kong (CUHK)

• Visiting Ph.D. Student, Feb. 2018 – Apr. 2018, The University of Queensland, Australia

• Visiting Ph.D. Student, Oct. 2017 – Jan. 2018, University of Pavia, Italy

• M.E., 2013, Electrical and Communication Engineering, University of Chinese Academy of Sciences

• B.E., 2010, Remote Sensing Science and Technology, Wuhan University

   

• Sept. 2023 – present  Associate Professor, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences (NIGLAS), China

• Sept. 2022 – Jun. 2023   Associate Professor, School of Geospatial Engineering and Science, Sun Yat-sen University, China

• Jan. 2021 – Jul. 2022     Postdoctoral Research Associate, Department of Natural Resources and the Environment, University of Connecticut, U.S.A.

• Nov. 2020 – Dec. 2020   Visiting Fellow, Department of Geography, The Ohio State University (OSU), U.S.A.

• Mar. 2019 – Oct. 2020    Postdoctoral Researcher, Department of Geography, OSU, U.S.A.

• Oct. 2018 – Mar. 2019    Research Assistant, GRM, CUHK, Hong Kong, China

• Aug. 2014 – Jul. 2018    Teaching Assistant, GRM, CUHK, Hong Kong, China

• Sept. 2013 – Jul. 2014   Research Assistant, Shenzhen Research Institute, CUHK, China

Summer Geospatial Workshop at OSU & CSU 
   Remote sensing of water and harmful algal bloom monitoring
   Monitoring cyanobacterial harmful algal blooms by fusing multi-source satellite imagery

Teaching Assistant at CUHK
   Remote Sensing of Environment
   Introduction to GIS
   Earth as Seen from Space
   China's Mega-projects in the New Millennium
   Climate, Energy and Life
   Decoding Cities
   Field Studies in London and Amsterdam
   Field Studies in Gansu and Qinghai Provinces

Editorial Board Member, Scientific Data
Youth Editor, The Innovation
Review Editor, Frontiers in Remote Sensing
Reviewer, Remote Sens. Environ., ISPRS J. Photogramm. Remote Sens., GIsci. Remote Sens., Ecol. Indic., Int. J. Geogr. Inf. Sci., Int. J. Remote Sens., etc.

   

1. X. Jiang, B. Huang*, Y. Zhao*. Spatiotemporal Image Fusion With Spectrally Preserved Pre-Prediction: Tackling Complex Land-Cover Changes. IEEE Transactions on Geoscience and Remote Sensing, 62, 1-14, 2024.

2. JW Suh*, Z. Zhu, Y. Zhao. Monitoring construction changes using dense satellite time series and deep learning. Remote Sensing of Environment, 309, 114207, 2024.

3. H. Zhang, M. Luo*, W. Zhan, Y. Zhao, Y. Yang, E. Ge, G. Ning, J. Cong. HiMIC-Monthly: A 1 km high-resolution atmospheric moisture index collection over China, 2003–2020. Scientific Data, 11(1), 425, 2024.

4. Y. Zhao*, Pierluigi Bonello, D. Liu*. Mapping the environmental risk of beech leaf disease in the Northeastern United States. Plant Disease, 107(11), 3575-3584, 2023.

5. X. Li, M. Luo*, Y. Zhao*, H. Zhang, E. Ge, Z. Huang, S. Wu, P. Wang, X. Wang, & Y. Tang. A daily high-resolution (1 km) human thermal index collection over the North China Plain from 2003 to 2020. Scientific Data, 10(1), 634, 2023.

6. H. Zhang, M. Luo*, Y. Zhao*, L. Lin, E. Ge, Y. Yang, G. Ning, J. Cong, Z. Zeng, K. Gui, J. Li, T. O. Chen, X. Li, S. Wu, P. Wang, & X. Wang. HiTIC-Monthly: a monthly high spatial resolution (1 km) human thermal index collection over China during 2003–2020. Earth System Science Data, 15(1), 359–381, 2023.

7. T. Li*, Z. Zhu, Z. Wang, M. O. Roman, V. L. Kalb, & Y. Zhao, Continuous monitoring of nighttime light changes based on daily NASA's Black Marble product suite. Remote Sensing of Environment, 282, 113269, 2022.

8. Y. Zhao* & Z. Zhu, ASI: An Artificial Surface Index for Landsat 8 Imagery. International Journal of Applied Earth Observation and Geoinformation, 107, 102703, 2022.

9. Y. Zhao & D. Liu*, A robust and adaptive spatial-spectral fusion model for PlanetScope and Sentinel-2 imagery. GIScience & Remote Sensing, 59(1), 520-546, 2022.

10. S. Wu, P. Wang, X. Tong, H. Tian, Y. Zhao*, & M. Luo*, Urbanization-driven increases in summertime compound heat extremes across China. Science of The Total Environment, 799, 149166, 2021.

11. S. Wu, T. Chan, W. Zhang, G. Ning, P. Wang, X. Tong, F. Xu, T. Hao, Y. Han, Y. Zhao*, & M. Luo*. Increasing compound heat and precipitation extremes elevated by urbanization in South China. Frontiers in Earth Science, 9, 636777, 2021.

12. Y. Zhao, B. Huang*, D. Liu, & Q. He, A sparse representation-based fusion model for improving daily MODIS C6.1 aerosol products on a 3 km grid. International Journal of Remote Sensing, 42(3), 1077-1095, 2021.

13. T. Hao, Y. Zhao*, M. Luo*, Q. He, Y. Han, & Z. Zeng, Estimating PM_2.5 from multisource data: A comparison of different machine learning models in the Pearl River Delta of China. Urban Climate, 35, 100740, 2021.

14. Y. Zhao, D. Liu*, & X. Wei, Monitoring cyanobacterial harmful algal blooms at high spatiotemporal resolution by fusing Landsat and MODIS imagery. Environmental Advances, 2, 100008, 2020.

15. L. Lin, T. Gao*, M. Luo*, E. Ge, Y. Yang, Z. Liu, Y. Zhao, & G. Ning, Contribution of urbanization to the changes in extreme climate events in urban agglomerations across China. Science of The Total Environment, 744, 140264, 2020.

16. L. Lin, T. O. Chan, E. Ge, X. Wang, Y. Zhao, Y. Yang, G. Ning, Z. Zeng, & M. Luo*, Effects of urban land expansion on decreasing atmospheric moisture in Guangdong, South China. Urban Climate, 32, 100626, 2020.

17. L. Lin, M. Luo*, T. O. Chan, E. Ge, X. Liu, Y. Zhao, & W. Liao, Effects of urbanization on winter wind chill conditions over China. Science of the Total Environment, 688, 389-397, 2019.

18. Y. Zhao, B. Huang*, & H. Song, A robust adaptive spatial and temporal image fusion model for complex land surface changes. Remote sensing of environment, 208, 42-62, 2018.

19. Y. Zhao, B. Huang, A. Marinoni, & P. Gamba, High spatiotemporal resolution PM_2.5 concentration estimation with satellite and ground observations: A case study in New York City. 2018 IEEE International Conference on Environmental Engineering (EE) (pp. 1-5), 2018.

20. D. Li*, Q. Han, & Y. Zhao, A spatiotemporal fusion algorithm for mono-temporal remotely sensed images with high spatial resolution. Computer Engineering and Applications, 54(5): 191-199, 2018.

21. Y. Zhao* & B. Huang, A Hybrid Image Fusion Model for Generating High Spatial-Temporal-Spectral Resolution Data Using OLI-MODIS-Hyperion Satellite Imagery. World Academy of Science, Engineering and Technology, International Journal of Geological and Environmental Engineering, 11(9), 843-848, 2017.

22. B. Huang* & Y. Zhao, Research Status and Prospect of Spatiotemporal Fusion of Multi-source Satellite Remote Sensing Imagery. Acta Geodaetica et Cartographica Sinica, 46(10): 1492-1499, 2017.

23. Y. Zhao & B. Huang, Integrating MODIS and MTSAT-2 to generate high spatial-temporal-spectral resolution imagery for real-time air quality monitoring. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 6122-6125), 2017.

24. Y. Zhao & B. Huang, A Two-step Spatio-Temporal satellite image Fusion Model for temporal changes of various LULC under one-pair prior images scenario. 2016 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) (pp. 1-5), 2016.

25. Y. Zhao, X. Shan, & P. Tang*, Spatial consistency analysis and relative geometric correction of low spatial resolution multi-source remote sensing data. Remote Sensing Technology and Application, 29, 155-163, 2014.

26. Y. Zhao, X. Shan, & P. Tang, MODIS data-based spatial consistency correction of low-resolution multi-source remote sensing imagery. 2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 2524-2527), 2013.

X. Shan, Y. Zhao, P. Tang, K. Zheng, Z. Zhang, L. Tang, & Z. Feng, A spatial consistency correction method for multi-source low spatial resolution remote sensing imagery. Chinese Patent ZL 2013 1 0307412.5, 2016.

• 2023 Contribution to Open Science for Advancing the United Nations Sustainable Development Goal 11, ELSEVIER
• 2022 Contribution to Open Science for Advancing the United Nations Sustainable Development Goal 14, ELSEVIER 
• 2018 Best Paper Award, The First BIM-CIM Innovation Competition for College Students in the Guangdong-Hong Kong-Macao Greater Bay Area 
• 2017 Award of Outstanding Contribution in Reviewing, Remote Sensing of Environment
• 2017 Best Paper Award, The 19th International Conference on Geoscience and Remote Sensing
• 2016 Global Scholarship Award for Research Excellence, CUHK

• Spatial-Spectral Fusion for Very High and Medium Spatial Resolution Imagery from Cooperative Constellations, National Natural Science Foundation of China, PI, 1/2024-12/2026
• Tracing Artificial Surface in River and Lake Waterfronts at Fine-resolution by Blending Observations from Cooperative Constellations, Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, PI, 3/2024-2/2027 
• Wide Area Terrestrial Chang Hypercube (WATCH), Office of the Director of National Intelligence/Intelligence Advanced Research Projects Activity (IARPA), Key Participant, 1/2021-7/2022 
• Small Unmanned Aerial Vehicles and Artificial Intelligence to Manage Invasive Forest Pests, Center for Applied Plant Sciences at The Ohio State University, Key Participant, 7/2019-10/2020
• Strengthening Agricultural Geospatial Education and Research at Central State University, United States Department of Agriculture, Key Participant, 3/2019-5/2022

Code Sharing: https://github.com/RichardPix