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Using geostationary environmental satellite data for improving Water Use Estimation in the United States

Authors: Stefanie Kagone*, ASRC Federal Data Solutions (Contractor to U.S. Geological Survey EROS Center), Gabriel Senay, USGS
Topics: Water Resources and Hydrology, Remote Sensing
Keywords: Water, Evapotranspiration, Remote Sensing
Session Type: Poster
Presentation File: No File Uploaded

Evapotranspiration (ET) is a vital component of the water cycle and remote sensing provides an effective method to map water use and availability. We used the Operational Simplified Surface Energy Balance (SSEBop) model to estimate water use in the United States using actual ET. One of the main model parameters of the model is the temperature difference (dT), which is the difference between the surface and canopy level air temperature over a dry/bare cover to determine the proper boundary conditions for the available energy/water transfer during the evapotranspiration process. Instead of using meteorological data, we used remotely sensed data from Geostationary Environmental Satellite (GOES) to determine dT. This allows for a more consistent and realistic net radiation estimation, improves the ET estimation and mapping with that advances the ability to estimate water use on a large scale. Results are evaluated using eddy covariance flux tower data and showed improved performance compared to a previous approach that did not use GOES data. Remote sensing-based water use mapping is an important tool for sustainable agricultural production helping stakeholders and water managers understand how land use changes are caused by changes in water consumption and availability.

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