Evaluation of a Method for Estimating Irrigated Crop-Evapotranspiration Coefficients from Remotely Sensed Data in Idaho
Publication: Journal of Irrigation and Drainage Engineering
Volume 134, Issue 6
Abstract
Hydrologic modeling and agricultural water consumption analyses typically require some estimation of expected evapotranspiration (ET) from any given land cover or crop type. The main parameter used to make such estimations is the “crop coefficient” , also known as “reference ET fraction” (ETrF). An efficient remote-sensing methodology to obtain ETrF is mapping evapotranspiration at high resolution and with internalized calibration (METRIC), which requires thermal data, as obtained from the Landsat satellite. Unfortunately, the possibility of future Landsat satellites containing thermal sensors is uncertain, and other satellites’ data have access or spatial resolution concerns. Even when thermal-band data are available, energy-balance approaches can be costly. In this paper we continue ongoing efforts by the University of Idaho and others to estimate the evapotranspiration parameter (or ) using the more readily available normalized difference vegetation index (NDVI) satellite-derived data product. Results from a case study in Idaho for irrigated agriculture indicate that the method has significant potential to estimate because it is a fully objective and repeatable process, is comparably fast, easy, and less costly to apply, and does not require images from the thermal band. Preliminary work suggests that NDVI-based estimates produce results comparable to METRIC estimates over large spatial areas and full-season sample periods, even when the estimation equations were derived from different locations or crop type and management settings. While it is unclear whether empirical methods to derive the product are more robust than either remote-sensing estimation method, this ongoing method is studied as an alternative, especially when empirical data are sparse or too costly to obtain, and when the METRIC approach cannot be taken. We find that NDVI-based estimation equations may be practically applied to areas other than the area of development.
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Acknowledgments
This work was supported in part by a grant from the United States Geological Survey, the NSF-Idaho EPSCoR Program, and by the National Science Foundation under Award No. NSFEPS-0447689. The writers are grateful to Dr. Rick Allen, Dr. Masahiro Tasumi, and Dr. Ricardo Trezza from the University of Idaho Kimberly Research Center, who provided images, maps, and important guidance for this study. The writers also wish to thank Drew Janes, who prepared preliminary results and helped to expedite this study. Constructive comments from four anonymous reviewers greatly improved the manuscript.
References
Allen, R. G. (2005). “The need for high resolution satellite coverage including thermal (surface temperature) for water resources management.” ⟨http://www.idwr.idaho.gov/gisdata.ET.Landsat/20issues/the_case_for_a_landsat_thermal_band.pdf⟩.
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M. (1998). “Crop evapotranspiration guidelines for computing crop water requirements.” FAO Irrigation and Drainage Paper 56, Food and Agriculture Organization of the United Nations, Rome, Italy.
Allen, R. G., Tasumi, M., Morse, A., Trezza, R., Kramber, W., and Lorite, I. (2007a). “Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)—Applications.” J. Irrig. Drain. Eng., 133(4), 395–406.
Allen, R. G., Tasumi, M., and Trezza, R. (2007b). “Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)—Model.” J. Irrig. Drain. Eng., 133(4), 380–394.
Bastiaanssen, W. G. M., Menenti, M., Feddes, R. A., and Holtslag, A. A. M. (1998). “A remote sensing surface energy balance algorithm for land (SEBAL): 1. Formulation.” J. Hydrol., 212(1), 198–229.
Bausch, W. C. (1993). “Soil background effects on reflectance-based crop coefficients for corn.” Remote Sens. Environ., 46, 213–222.
Bausch, W. C. (1995). “Remote sensing of crop coefficients for improving the irrigation scheduling of corn.” Agric. Water Manage., 27, 55–68.
Bausch, W. C., and Neale, C. M. U. (1989). “Spectral inputs improve corn crop coefficients and irrigation scheduling.” Trans. ASAE, 32(6), 1901–1908.
Carlson, T. N., and Ripley, D. A. (1997). “On the relation between NDVI, fractional vegetation cover, and leaf area index.” Remote Sens. Environ., 62(3), 241–252.
Choudhury, B. J., Ahmed, N. U., Idso, S. B., Reginato, R. J., and Daughtry, C. S. T. (1994). “Relations between evaporation coefficients and vegetation indices studied by model simulations.” Remote Sens. Environ., 50, 1–17.
Cuesta, A., Montoro, A., Jochum, A., López Fuster, P., and Calera, A. (2004). “Metodología operativa para la obtención del coeficiente de cultivo desde imágenes de satélite.” Proc., 22nd Congreso Nacional de Riegos, Logroño, Spain.
Gonzalez-Piqueras, J., Calera, A., and Gilabert, M. A. (2003). “Estimation of crop coefficients by means of optimized vegetation indices for corn.” Proc SPIE, Vol. 5232, Barcelona, Spain, 110–118.
Helsel, D. R., and Hirsch, R. M. (2002). “Statistical methods in water resources.” U. S. Geological Survey, Techniques of Water-Resources Investigations, ⟨http://pubs.usgs.gov/twri/twri4a3/⟩.
Idaho Geospatial Data Clearinghouse. (2004). “Color shaded relief of Idaho with a horizontal grid spacing of .” Idaho Geospatial Data Clearinghouse, Moscow, Id., ⟨http://insideidaho.org/data/IGDC/archive/shdrlfcolor10m_id_igdc.tgz⟩.
Makkink, G. F. (1957). “Testing the Penman formula by means of lysimeters.” J. Inst. Water Eng., 11(3), 277–288.
Manly, B. F. J. (2001). Statistics for environmental science and management, Chapman and Hall/CRC, Boca Raton, Fla.
Monteith, J. L. (1965). “Evaporation and environment.” Proc., Symp of the Society for Experimental Biology: The State and Movement of Water in Living Organisms, G. E. Fogg, ed., Vol. 19, Academic, New York, 205–234.
Montoro, A., et al. (2007). “Evaluación de métodos para ajustar la evapotranspiración de la patata (solanum tuberosum) en programas de asesoramiento de riegos.” Proc., 11th SECH Congress, Córdoba, Spain.
Neale, C. M. U., Bausch, W. C., and Heerman, D. F. (1989). “Development of reflectance-based crop coefficients for corn.” Trans. ASAE, 32(6), 1891–1899.
Ott, R. L. (1993). An introduction to statistical methods and data analysis, 4th Ed., Duxbury Press, Belmont, Calif.
Penman, H. L. (1948). “Natural evaporation from open water, bare soil and grass.” Proc., Roy. Soc. of London, Series A, 193(1032), 120–145.
Rouse, J. W., Haas, R. H., Deering, D. W., and Schell, J. A. (1974).“Monitoring the vernal advancement and retrogradation (greenwave effect) of natural vegetation.” Final Rep. RSC No. 1978–4, Remote Sensing Center, Texas A&M Univ., College Station, Tex.
Stanhill, G. (1965). “The concept of potential evapotranspiration in arid zone agriculture.” Proc., Montpelier Sympo. in Arid Zone Research, Vol. 25, UNESCO, Paris, 109–171.
Tasumi, M., Allen, R. G., and Trezza, R. (2006). “Calibrating satellite-based vegetation indices to estimate evapotranspiration and crop coefficients.” Proc., USCID Water Management Conf., Denver, Colo.
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© 2008 ASCE.
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Received: Jul 27, 2007
Accepted: Mar 6, 2008
Published online: Dec 1, 2008
Published in print: Dec 2008
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