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Monitoring Storage Variations of Large Reservoirs by Leveraging Multi-Satellite Observations

November 17, 2016
4:00 pm - 5:00 pm

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Dr. Huilin Gao  
Department of Civil Engineering, Texas A&M University

Assistant Professor

Abstract

Satellite remote sensing offers a unique opportunity for monitoring large reservoirs from space, particularly over data sparse regions. This presentation introduces a series of novel algorithms using multi-satellite observations geared towards estimating reservoir storage variations at improved spatial coverage, and at improved temporal resolution. In the first algorithm, reservoir elevations from radar altimetry are combined with area estimations obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) image classifications to generate a product for a number of very large reservoirs globally. The second algorithm combines the high spatial resolution elevation measurements obtained from the spaceborne laser altimeter onboard the Ice, Cloud and land Elevation Satellite (ICESat) with surface area values obtained from an improved MODIS water classification process. To overcome the limitations of visible/infrared imaging sensors (e.g. MODIS), the last algorithm demonstrates a globally applicable approach that leverages passive microwave observations for estimating reservoir storage under all-weather conditions. Future satellite missions which will make significant contributions to monitoring global lakes and reservoirs are also introduced.

Biography

Dr. Huilin Gao is an Assistant Pofessor in Civil Engineering at Texas A&M University. She received her B.S. and M.S. degrees in Atmospheric Sciences from Peking University, and her Ph.D. degree in Water Resources Engineering from Princeton University. Before joining TAMU in the fall of 2012, she also worked at the Georgia Institute of Technology as a Research Faculty and at the University of Washington as a Research Associate. Dr. Gao’s research interests are hydrologic monitoring and prediction, climate change, land cover land use change, water resources management, water quality modeling, and satellite remote sensing in hydrology and ecology. Her expertise is centered on the use of a combination of in situ observations, remote sensing, and modeling approaches to understand the impacts of a changing environment (e.g., urbanization), climatic extremes (e.g., drought and flood), and reservoir regulation on streamflow. She is also interested in remote sensing of water resources (e.g., reservoir storage variations) and coastal water quality. She has authored/coauthored 34 peer reviewed journal publications and two book chapters. Dr. Gao is a recipient of the CAREER Award from the Environmental Sustainability Program of National Science Foundation and the Gulf Research Program Early-Career Research Fellowship from the National Academy of Sciences, Engineering, and Medicine.

Contact

Dr. Francisco Olivera: folivera@civil.tamu.edu

Details

Date:
November 17, 2016
Time:
4:00 pm - 5:00 pm

Venue

O&M Building, Room 110