Using ASTER satellite data to calculate riparian evapotranspiration in the Middle Rio Grande, New Mexico

Abstract

Riparian evapotranspiration (ET) in the Rio Grande Basin in New Mexico, USA is a major component of the hydrological system. Over a period of several years, ET has been measured in selected locations of dense saltcedar and cottonwood vegetation. Riparian vegetation varies in density, species and soil moisture availability, and to obtain accurate measurements, multiple sampling points are needed, making the process costly and impractical. An alternative solution involves using remotely sensed data to estimate ET over large areas. In this study, daily ET values were measured using eddy covariance flux towers installed in areas of saltcedar and cottonwood vegetation. At these sites, remotely sensed satellite data from the National Aeronautics and Space Administration (NASA) Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) were used to calculate the albedo, normalized difference vegetation index (NDVI) and surface temperature. A surface energy balance model was used to calculate ET values from the ASTER data, which were available for 7 days in the year. Comparison between the daily ET values of saltcedar and cottonwood measured from the flux towers and calculated from remote sensing resulted in a mean square error (MSE) of 0.16 and 0.37 mm day⁻¹, respectively. The regional map of ET generated from the remote sensing data demonstrated considerable variation in ET, ranging from 0 to 9.8 mm day⁻¹, with a mean of 5.5 mm day⁻¹ and standard deviation of 1.85 mm day⁻¹ (n = 427481 pixels) excluding open water. This was due to variations in plant variety and density, soil type and moisture availability, and the depth to water table.

Acknowledgements

We acknowledge the support provided by the United States Bureau of Reclamation, United States Department of Fish and Wildlife Service, Bosque del Apache National Wildlife Refuge, United States Department of Agriculture Rio Grande Basin Initiative Project, New Mexico Office of the State Engineer/Interstate Stream Commission, and New Mexico Water Resources Research Institute. We also thank the New Mexico State University civil engineering students who maintained the flux towers and collected the data, and Vien D. Tran for generating the ET maps.