SwRI will be exhibiting at the 2018 Texas Groundwater Summit, presentation information is below.
Wednesday, August 29
1:30 p.m.-3:00 p.m. breakout session, track 3: Know Your Aquifer
“Using Remote-Sensed Data to Improve Recharge Estimates,” Ronald Green, Ph.D., P.G.
The greatest source of uncertainty when managing groundwater resources, particularly in arid and semi-arid environments, is the rate and frequency of recharge. Historically, land-based technologies have been used to measure, calculate, or estimate this critically important input to the water budget. Remote-sensed data from multiple satellite platforms are becoming increasingly available to improve estimates of recharge at finer spatial and temporal scales. Hilly topography and arid environments pose special challenges and opportunities for remotely-sensed applications. Google Earth Engine can be used to combine fine-scale elevation models, optical data, and SENTINEL‑1 C-band radar data to develop interpretations of coarser-scaled sensor data, assess vegetation-related biases due to slope aspect, and refine the spatial patterns of remotely-sensed precipitation events across the watershed area. These improvements in data acquisition and interpretation allow for better estimates of recharge in arid and semi-arid environments where water demand is rapidly outpacing water availability.
Ronald Green is a groundwater hydrologist with research experience in groundwater resource assessment, multiphase and groundwater modeling, development and execution of laboratory and field-scale experiments, and environmental geophysics. For more information, please contact Ronald Green.