A Landsat-based energy balance and evapotranspiration model in Western US water rights regulation and planning
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The quantification of evapotranspiration (ET) from irrigated projects is important for water rights management, water resources planning and water regulation. Traditionally, ET has been estimated by multiplying a weather-based reference ET by crop coefficients (Kc) determined according to the crop type and the crop growth stage. However, there is typically question regarding whether crops grown compare with the conditions represented by the Kc values, especially in water short areas. In addition, it is difficult to estimate the correct crop growth stage dates for large populations of crops and fields.
METRIC (Mapping Evapotranspiration at high Resolution and with Internalized Calibration) is an image-processing model for calculating ET as a residual of the surface energy balance. METRIC is a variant of SEBAL, an energy balance process developed in the Netherlands by Bastiaanssen and was extended to provide tighter integration with ground-based reference ET. METRIC was applied with Landsat images in southern Idaho to predict monthly and seasonal ET for water rights accounting and for operation of ground water models. ET “maps” (i.e., images) provide the means to quantify, in terms of both the amount and spatial distribution, the ET on a field by field basis.
The ET maps have been used in Idaho to quantify net ground-water pumpage in areas where water extraction from underground is not measured and to estimate recharge from surface-irrigated lands. Application and testing of METRIC indicates substantial promise as an efficient, accurate, and relatively inexpensive procedure to predict the actual evaporation fluxes from irrigated lands throughout a growing season.
Key Wordsenergy balance evapotranspiration irrigation Landsat
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- Allen, R.G., Pruitt, W.O., Businger, J.A., Fritschen, L.J., Jensen, M.E. & Quinn, F.H. 1996. In: Wootton et al. (ed.), Evaporation and Transpiration. Chapter 4, (pp. 125–252), ASCE Handbook of Hydrology. New York, NY.Google Scholar
- Allen, R.G., Bastiaanssen, W., Wright, J.L., Morse, A., Tasumi, M. & Trezza, R. 2002. Evapotranspiration from satellite images for water management and hydrologic balances. Proceedings of the 2002 ICID Conference, Montreal, Canada, July, 2002. CD-ROM.Google Scholar
- ASCE-EWRI. 2004. “The ASCE standardized reference evapotranspiration equation.” Environmental and Water Resources Institute of the ASCE, Report by the Task Committee on Standardization of Reference Evapotranspiration, 〈http://www.kimberly.uidaho.edu/water/asceewri/〉.
- Bastiaanssen, W.G.M. 1995. Regionalization of surface flux densities and moisture indicators in composite terrain: A remote sensing approach under clear skies in Mediterranean climates. Ph.D. dissertation, CIP Data Koninklijke Bibliotheek, Den Haag, the Netherlands. 273 pp.Google Scholar
- Bastiaanssen, W.G.M., Menenti, M., Feddes, R.A. & Holtslag, A.A.M. 1998. A remote sensing surface energy balance algorithm for land (SEBAL): 1. Formulation. Journal of Hydrology 212–213: 198–212.Google Scholar
- Bastiaanssen, W.G.M., Ahmad, M.D. & Chemin, Y. 2002. Satellite surveillance of evaporative depletion across the Indus Basin. Water Resources Research 38(2): 1273.Google Scholar
- Bastiaanssen, W.G.M., Noordman, E.J.M., Pelgrum, H., Davids, G. & Allen, R.G. 2005. SEBAL for spatially distributed ET under actual management and growing conditions, ASCE Journal of Irrigation and Drainage Engineering 131(1): 85–93.Google Scholar
- Bausch, W.C. & Neale, C.M.U. 1989. Spectral inputs improve corn crop coefficients and irrigation scheduling. Transactions of ASAE 32(6): 1901–1908.Google Scholar
- Hill, R.W., Brockway, C.E., Burman, R.D., Allen, L.N. & Robison, C.W. 1989. Duty of Water Under the Bear River Compact: Field Verification of Empirical Methods for Estimating Depletion. Research report 125. Utah Agricutural Experiment Station, Utah State University, Logan, Utah.Google Scholar
- Morse, A., Tasumi, M., Allen, R.G., & Kramber, W.J. 2000. Application of SEBAL Methodology for Estimating Consumptive Use of Water and Streamflow Depletion in the Bear River Basin of Idaho Through Remote Sensing; Final Report.Google Scholar
- Morse, A., Allen, R.G., Tasumi, M., Kramber, W.J., Trezza, R. & Wright, J.L. 2001. Application of the SEBAL Methodology for Estimating Evapotranspiration and Consumptive Use of Water Through Remote Sensing: Final Report. Idaho Department of Water Resources, Idaho.Google Scholar
- Morse, A., Allen, R.G., Tasumi, M., Kramber, W.J. & Trezza, R., 2003. Application of the SEBAL Methodology for Estimating Evapotranspiration and Consumptive Use of Water Through Remote Sensing, Phase III: The Transition to an Operational System. The Raytheon Systems Company Earth Observation System Data and Information System Project. 31 pages.Google Scholar
- Neale, C.M.U., Bausch, W.C. & Heerman, D.F. 1989. Development of reflectance-based crop coefficients for corn. Transactions of ASAE 32(6): 1891–1899.Google Scholar
- Romero, M.G. 2004. Daily evapotranspiration estimation by means of evaporative fraction and reference evapotranspiration fraction. Ph.D. Dissertation, Utah State University, Logan, Utah.Google Scholar
- Tasumi, M. 2003. Progress in operational estimation of regional evapotranspiration using satellite imagery. Ph.D. Dissertation, University of Idaho, Moscow, Idaho.Google Scholar
- Tasumi, M., Trezza, R., Allen, R.G. & Wright, J.L. 2003. Some U.S. Validation Tests on the SEBAL Model for Evapotranspiration via Satellite. Proceedings of the ICID Workshop on Remote Sensing of Evapotranspiration for Large Regions. 13 p.Google Scholar
- Tasumi, M., Allen, R.G., Trezza, R. & Wright, J.L. 2005a. Use of SEBAL to assess the band width of crop coefficient curves in Idaho. ASCE Journal of Irrigation and Drainage Engineering 131(1): 94–109.Google Scholar
- Tasumi, M., Trezza, T., Allen, R.G. & Wright, J.L. 2005b. Operational aspects of satellite-based energy balance models for irrigated crops in the semi-arid U.S. Journal of Irrigation and Drainage Systems 19: 355–376.Google Scholar
- Trezza, R. 2002. Evapotranspiration using a satellite-based surface energy balance with standardized ground control. Ph.D. Dissertation, Utah State University, Logan, Utah.Google Scholar
- Wright, J.L. 1982. New evapotranspiration crop coefficients. Journal of Irrigation and Drainage Division (ASCE), 108: 57–74.Google Scholar
- Wright, J.L. 1996. Derivation of Alfalfa and Grass reference evapotranspiration. In: C.R. Camp, E.J. Sadler, & R.E. Yoder (Eds.), Evapotranspiration and Irrigation Scheduling, Proceedings of the International Conference, ASAE, San Antonio, TX, pp. 133–140.Google Scholar