The Water Resources and Remote Sensing Laboratory utilizes satellite remote sensing to investigate the hydrologic cycle on earth. The integration of satellite-based data in geology or hydrology has been exploited for the past two decades. However, there are limitations in scale, resolution, and ability to predict a particular biophysical parameter. For example, the ability of satellite sensors to predict vegetation health based upon water absorptions due to vibrational processes in electron shells is clear and discernible. Conversely, the ability to measure rainfall is limited to specific regions and conditions. Our research aims to advance the science of satellite applications in hydrology and geology. We’ve determined the accuracy and limitations of satellite-based precipitation (e.g., TRMM, CMORPH, RFE) in low rainfall and complex terrain environments. W recently published research on the accuracy and reliability of satellite-based rainfall measurements obtained in arid environments. In addition, the WRRS group uses computer image processing programs and data fusion techniques in an attempt to enhance satellite-based measurements of the hydrologic cycle such as streamflow, groundwater, subsidence rates, and evapotranspiration. This research helps further our knowledge of the science in physically ungauged basins.
Projects & Research:
A Global Hot Spot Analysis (Getis-Ord Gi*) of Groundwater Storage Change Using Grace Satellite and Gis-Based Spatial Statistical Analysis: http://wrrs.uga.edu/research-lezzaik/
Integrated Solutions for Hydrologic Investigations in Arid Lands: http://wrrs.uga.edu/hydrologic-investigations-in-arid-lands/
Verification of Rapid Focused Recharge in Depressions Located in Kuwait and the Arabian Peninsula Using Thermal and VNIR Remote Sensing: http://wrrs.uga.edu/freshwater-lens-detection-rotz/
Using Radar Interferometry: Using Radar Interferometry to Evaluate Land Subsidence Caused by Excessive Groundwater Withdrawal in Morocco: http://wrrs.uga.edu/interferometric-land-subsidence-detection/
RESDEM, A Tool for Integrating Temporal Remote Sensing Data for Use in Hydrogeologic Investigations: http://wrrs.uga.edu/resdem-paper/