Remotely sensed reservoir bathymetry

Develop bathymetry for global reservoirs using multi-source satellite data.

Deepwater Horizon (DwH) oil spill

Use long term MODIS nFLH data investate the response of phytoplankton primary productivity to DwH oil spill.

Hurricane Harvey

Evaluate the effects of Hurricane Harvey on water quality (e.g., Chlorophyll a concentration) using field spectroscopy and satellite data.


* corresponding author

More Publications

(2020). A high-resolution bathymetry database for global reservoirs using multi-source satellite imagery and altimetry. Remote Sensing of Environment.

(2019). Potential influence of the Deepwater Horizon oil spill on phytoplankton primary productivity in the northern Gulf of Mexico. Environmental Research Letters.

(2019). Deriving High-Resolution Reservoir Bathymetry From ICESat-2 Prototype Photon-Counting Lidar and Landsat Imagery. IEEE Transactions on Geoscience and Remote Sensing.



A high-resolution global reservoir bathymetry database based on multi-source satellite data.

Monthly storage estimations for 180 large reservoirs from 1984 to 2015 based on Landsat observations.

An updated SRTM DEM dataset by incorporating global reservoir bathymetry.

Recent Presentations

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