Education:

2017 — Ph.D. Water Resources Engineering, Texas A&M University, USA.

2012 — M.S. Geographic Information Engineering, Wuhan University, China.

2008 — B.S. Engineering of Surveying and Mapping, Southeast University, China.

Positions:

2020-present — Postdoctoral Scholar, University of South Florida.

2017-2020 — Postdoctoral Scholar, University of North Carolina at Chapel Hill.

Research Interests:

Remote sensing of water quality

Lake ice phenology

Remote sensing of reservoir monitoring

Machine learning

Publications:

Sharma, S., M. F. Meyer, J. Culpepper, X. Yang, S. Hampton, S. A. Berger, M. R. Brousil, S. C. Fradkin, S. N. Higgins, K. J.Jankowski, G. Kirillin, A. P. Smits, E. C. Whitaker, F. Yousef and S. Zhang (in press), Integrating perspectives to understand lake ice dynamics in a changing world. Journal of Geophysical Research-Biogeosciences.

Zhang, S. and H. Gao (2020), Using the Digital Elevation Model (DEM) to improve the spatial coverage of the MODIS based reservoir monitoring network in South Asia. Remote Sensing, 12: 745.3.

Zhang, S. and T. M. Pavelsky (2019). Remote Sensing of Lake Ice Phenology across a Range of Lakes Sizes, ME, USA. Remote Sensing, 11 (14), 1718.

Li, Y., H. Gao, M. F. Jasinski, S. Zhang, and J. D. Stoll (2019). Deriving High-Resolution Reservoir Bathymetry From ICESat-2 Prototype Photon-Counting Lidar and Landsat Imagery IEEE Transactions on Geoscience and Remote Sensing, 57 (10), 7883-7893

Zhang, S. and H. Gao (2016), A New Algorithm for Improving the Temporal Resolution of Remotely Sensed Reservoir Storage. Geophysical Research Letters, 43: 8052-8059.

Gao, H., S. Zhang, R. Fu, W. Li, and R. E. Dickinson (2016), Inter-annual Variation of the Surface Temperature of Tropical Forests from SSM/I Observations, Advances in Meteorology, 2016: 4741390.