Operational aspects of satellite-based energy balance models for irrigated crops in the semi-arid U.S.

SEBAL and METRIC remote sensing energy-balance based evapotranspiration (ET) models have been applied in the western United States. ET predicted by the models was compared to lysimeter-measured ET in agricultural settings. The ET comparison studies showed that the ET estimated by the remote sensing models corresponded well with lysimeter-measured ET for agricultural crops in the semi-arid climates. Sensitivity analyses on impacts of atmospheric correction for surface temperature and albedo showed that the internal calibration procedures incorporated in the models helped compensate for errors in temperature and albedo estimation. A repeatability test by two totally independent model applications using different images, operators and weather datasets showed that seasonal estimations by the models have high repeatability (i.e. stable results over ranges in satellite image timing, operator preferences and weather datasets). These results imply that the SEBAL/METRIC remote sensing models have a high potential for successful ET estimation in the semi-arid United States.

[1]  James L. Wright,et al.  New Evapotranspiration Crop Coefficients , 1982 .

[2]  J. L. Barker,et al.  Landsat MSS and TM post-calibration dynamic ranges , 1986 .

[3]  G. E. Wukelic,et al.  Radiometric calibration of Landsat Thematic Mapper Thermal Band , 1989 .

[4]  Dale F. Heermann,et al.  Development of reflectance-based crop coefficients for corn , 1990 .

[5]  Wilfried Brutsaert,et al.  Application of self‐preservation in the diurnal evolution of the surface energy budget to determine daily evaporation , 1992 .

[6]  N. U. Ahmed,et al.  Relations between evaporation coefficients and vegetation indices studied by model simulations , 1994 .

[7]  M. S. Moran,et al.  Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index , 1994 .

[8]  J. Norman,et al.  Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature , 1995 .

[9]  Richard G. Allen,et al.  Assessing Integrity of Weather Data for Reference Evapotranspiration Estimation , 1996 .

[10]  R. Crago,et al.  Comparison of the Evaporative Fraction and the Priestley‐Taylor α for Parameterizing Daytime Evaporation , 1996 .

[11]  James L. Wright,et al.  Derivation of alfalfa and grass reference evapotranspiration , 1996 .

[12]  William P. Kustas,et al.  Use of remote sensing for evapotranspiration monitoring over land surfaces , 1996 .

[13]  W. Bastiaanssen,et al.  A remote sensing surface energy balance algorithm for land (SEBAL). , 1998 .

[14]  César Coll,et al.  Mapping Actual Evapotranspiration by Combining Landsat TM and NOAA-AVHRR Images: Application to the Barrax Area, Albacete, Spain , 1998 .

[15]  A. Holtslag,et al.  A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation , 1998 .

[16]  Wim G.M. Bastiaanssen,et al.  Irrigation Performance Indicators Based on Remotely Sensed Data: a Review of Literature , 1999 .

[17]  W. Bastiaanssen.  SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey , 2000 .

[18]  J. Norman,et al.  Surface flux estimation using radiometric temperature: A dual‐temperature‐difference method to minimize measurement errors , 2000 .

[19]  S. Liang.  Narrowband to broadband conversions of land surface albedo I Algorithms , 2001 .

[20]  L. S. Pereira,et al.  Revised FAO Procedures for Calculating Evapotranspiration: Irrigation and Drainage Paper No. 56 with Testing in Idaho , 2001 .

[21]  Anthony Morse,et al.  Evapotranspiration from a satellite-based surface energy balance for the Snake Plain Aquifer in Idaho. , 2002 .

[22]  R. Trezza.  Evapotranspiration Using a Satellite-Based Surface Energy Balance with Standardized Ground Control , 2002 .

[23]  Lalith Chandrapala,et al.  Evapotranspiration fluxes over mixed vegetation areas measured from large aperture scintillometer , 2003 .

[24]  M. Tasumi.  Progress in operational estimation of regional evapotranspiration using satellite imagery , 2003 .

[25]  Anthony Morse,et al.  Application of SEBAL for Western US Water Rights Regulation and Planning , 2003 .

[26]  P. Pinter,et al.  Estimating cotton evapotranspiration crop coefficients with a multispectral vegetation index , 2003, Irrigation Science.

[27]  E. Noordman,et al.  SEBAL model with remotely sensed data to improve water-resources management under actual field conditions , 2005 .

[28]  Anthony Morse,et al.  A Landsat-based energy balance and evapotranspiration model in Western US water rights regulation and planning , 2005 .