ET Mapping with High-Resolution Airborne Remote Sensing Data in an Advective Semiarid Environment
Publication: Journal of Irrigation and Drainage Engineering
Volume 138, Issue 5
Abstract
Accurate estimates of spatially distributed evapotranspiration (ET) are essential for managing water in irrigated regions and for hydrologic modeling. METRIC (Mapping ET at high Resolutions with Internal Calibration) energy balance algorithm was applied to derive ET from six high-resolution aircraft images (0.5–2.0 m pixels). Images were acquired over the USDA Agricultural Research Service (USDA-ARS) Conservation and Production Research Laboratory (CPRL) in the semiarid Southern High Plains. The remote sensing (RS) campaign occurred during the 2007 summer cropping season. Daily ET estimations were evaluated using measured ET data from five monolithic weighing lysimeters located in the CPRL. On average, errors in estimating hourly ET were ; for daily ET, errors were . Results indicated that METRIC algorithm estimated ET values well when the surface roughness for momentum transfer considered heterogeneous surface conditions and when the grass reference ET fraction was used to extrapolate instantaneous estimates of ET. Results showed that it was possible to apply METRIC with airborne images in a semiarid environment. However, an appropriate (or combination of) surface roughness length and ET extrapolation methods have to be incorporated into the ET algorithm.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
This study was possible thanks to funding provided through the Ogallala Aquifer Program, the USDA-ARS, and Colorado State University. Sincere appreciation goes to the following individuals who provided assistance: Donald A. Dusek, and Kim Bush. In addition, the authors are grateful for the suggestions and comments of anonymous reviewers who helped improve the quality of this article.
References
Allen, R. G., et al. (2007a). “Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)—Applications.” J. Irrig. Drain. Eng.JIDEDH, 133(4), 395–406.
Allen, R. G., Tasumi, M., and Trezza, R. (2002). METRIC™: Mapping evapotranspiration at high resolution—Application manual for Landsat satellite images, Univ. of Idaho, Moscow, ID.
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.JIDEDH, 133(4), 380–394.
ASCE-EWRI. (2005). “The ASCE standardized reference evapotranspiration equation.” Report by the American Society of Civil Engineers Task Committee on Standardization of Reference Evapotranspiration, Allen, R. G., Walter, I. A., Elliot, R. L., Howell, T. A., Itenfisu, D., Jensen, M. E. and Snyder, R. L., eds., ASCE, Reston, VA.
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, Netherlands.
Bastiaanssen, W. G. M. (2000). “SEBAL-based sensible and latent heat fluxes in the irrigated Gediz basin, Turkey.” J. Hydrol. (Amsterdam)JHYDA7, 229(1–2), 87–100.
Bastiaanssen, W. G. M., Menenti, M., Feddes, R. A., and Holtslang, A. A. (1998). “A remote sensing surface energy balance algorithm for land (SEBAL): 1. Formulation.” J. Hydrol. (Amsterdam)JHYDA7, 212–213(1–4), 198–212.
Berk, A., et al. (2003). MODTRAN4 version 3 revision 1 user’s manual, Air Force Research Laboratory, Space Vehicle Directorate, Air Force Materiel Command, Hanscom AFB, Hanscom, MA.
Brest, C. L., and Goward, S. N. (1987). “Driving surface albedo measurements from narrow band satellite data.” Int. J. Remote Sens., 8(3), 351–367.
Brown, K. W., and Rosenberg, N. J. (1973). “A resistance model to predict evapotranspiration and its application to a sugar beet field.” Agron. J.AGJOAT, 65(3), 341–347.
Brunsell, N. A., and Gillies, R. (2002). “Incorporating surface emissivity into a thermal atmospheric correction.” Photogramm. Eng. Remote Sens.PERSDV, 68(12), 1263–1269.
Brutsaert, W. (1975). “On a derivable formula for long-wave radiation from clear skies.” Water Resour. Res.WRERAQ, 11(5), 742–744.
Brutsaert, W. (1982). Evaporation into the atmosphere, Kluwer Academic Publishers, Dordrecht, Netherlands.
Chávez, J. L., Gowda, P. H., Howell, T. A., and Copeland, K. S. (2009a). “Radiometric surface temperature calibration effects on satellite based evapotranspiration estimation.” Int.J. of Remote Sens., 30(9), 2337–2354.
Chávez, J. L., Gowda, P. H., Howell, T. A., Neale, C. M. U., and Copeland, K. S. (2009b). “Estimating hourly crop ET using a two-source energy balance model and multispectral airborne imagery.” Irrig. Sci.IRSCD2, 28(1), 79–91.
Chávez, J. L., and Neale, C. M. U. (2003). “Validating airborne multispectral remotely sensed heat fluxes with ground energy balance tower and heat flux source area (footprint) functions.” Proc., 2003 ASAE Annual Int. Meeting, Paper No. 033128, American Society of Agricultural Engineers, Saint Joseph, MI.
Chávez, J. L., Neale, C. M. U., Hipps, L. E., Prueger, J. H., and Kustas, W. P. (2005). “Comparing aircraft-based remotely sensed energy balance fluxes with eddy covariance tower data using heat flux source area functions.” J. Hydrometeorol., 6(6), 923–940.
Chávez, J. L., Neale, C. M. U., Prueger, J. H., and Kustas, W. P. (2008). “Daily evapotranspiration estimates form extrapolating instantaneous airborne remote sensing ET values.” Irrig. Sci.IRSCD2, 27, 67–81.
Claussen, M. (1990). “Area-averaging of surface fluxes in neutrally stratified, horizontally inhomogeneous atmospheric boundary layer.” Atmos. Environ., Part AAEATEN, A24(6), 1349–1360.
Claussen, M. (1995). “Flux aggregation at large scales: on the limits of validity of the concept of blending height.” J. Hydrol. (Amsterdam)JHYDA7, 166(3–4), 371–382.
Elhaddad, A., and Garcia, L. A. (2008). “Surface energy balance-based model to estimate evapotranspiration taking into account spatial variability in weather.” J. Irrig. Drain. Eng.JIDEDH, 134(6), 681–689.
Elhaddad, A., Garcia, L. A., and Chávez, J. L. (2011). “Using a surface energy balance model to calculate spatially distributed actual evapotranspiration.” J. Irrig. Drain. Eng.JIDEDH, 137(1), 17–26.
Foken, T. (2006). “50 years of the Monin-Obukhov similarity theory.” Bound.-Lay. Meteorol.BLMEBK, 119(3), 431–447.
Gowda, P. H., Chávez, J. L., Colaizzi, P. D., Evett, S. R., Howell, T. A., and Tolk, J. (2008). “ET mapping for agricultural water management: Present status and challenges.” Irrig. Sci.IRSCD2, 26(3), 223–237.
Gowda, P. H., Chávez, J. L., Colaizzi, P. D., Evett, S. R., Howell, T. A., and Tolk, J. (2007). “Remote sensing based energy balance algorithms for mapping ET: Current status and future challenges.” Trans. ASABETARSBB, 50(5), 1639–1644.
Howell, T. A., Schneider, A. D., Dusek, D. A., Marek, T. H., and Steiner, J. L. (1995). “Calibration and scale performance of bushland weighing lysimeters.” Trans. ASAETAAEAJ, 38(4), 1019–1024.
Jackson, R. D., Clarke, T. R., and Moran, M. S. (1992). “Bidirectional calibration results of 11 Spectralon and 16 BaSO4 reference reflectance panels.” Remote Sens. Environ.RSEEA7, 40(3), 231–239.
Lu, L., et al. (2009). “The characteristics and parameterization of aerodynamic roughness length over heterogeneous surfaces.” Adv. in Atm. Sci., 26(1), 180–190.
Menenti, M., and Choudhury, B. J. (1993). “Parameterization of land surface evapotranspiration using a location dependent potential evapotranspiration and surface temperature range.” Proc. Exchange Processes at the Land Surface for a Range of Space and Time Scales, Bolle, J. H., et al. eds., IAHS Publication 212, International Association of Hydrological Sciences, Wallingford, UK, 561–568.
Neale, C. M. U., and Crowther, B. (1994). “An airborne multispectral video/radiometer remote sensing system: Development and calibration.” Remote Sens. Environ.RSEEA7, 49(3), 187–194.
Rondeaux, G., Steven, M., and Baret, F. (1996). “Optimization of soil-adjusted vegetation indices.” Remote Sens. Environ.RSEEA7, 55(2), 95–107.
Stone, L. R., and Horton, M. L. (1974). “Estimating evapotranspiration using canopy temperatures: Field evaluation.” Agron. J.AGJOAT, 66(3), 450–454.
Su, Z. (2002). “The surface energy balance system (SEBS) for estimation of turbulent heat fluxes.” Hydrol. Earth Syst. Sci.HESSCF, 6(1), 85–99.
Suleiman, A., Al-Bakri, J. T., Duqqah, M., and Crago, R. (2008). “Intercomparison of evapotranspiration estimates at the different ecological zones in Jordan.” J. Hydrometeorol., 9(5), 903–919.
Suleiman, A., and Crago, R. D. (2004). “Hourly and daytime evapotranspiration using radiometric surface temperature.” Agron. J.AGJOAT, 96(2), 384–390.
Sundararaman, S., and Neale, C. M. U. (1997). “Geometric calibration of the USU videography system.” Proc. 16th Biennial Workshop in Videography and Color Photography for Resource Assessment, American Society of Photogrammetry and Remote Sensing, Bethesda, MD.
Tasumi, M., Trezza, R., Allen, R. G., and Wright, J. L. (2005). “Operational aspects of satellite-based energy balance models for irrigated crops in the semi-arid US.” Irrig. Drain. Syst.IDRSEG, 19(3–4), 355–376.
Texas High Plains Evapotranspiration Network (TXHPET). (2008). “Texas high plains evapotranspiration network.” 〈http://txhighplainset.tamu.edu/index.jsp〉 (Sep. 4, 2008).
Tolk, J. A., Evett, S. R., and Howell, T. A. (2006). “Advection influences on evapotranspiration of alfalfa in a semiarid climate.” Agron. J.AGJOAT, 98(6), 1646–1654.
Trezza, R. (2002). “Evapotranspiration using a satellite-based surface energy balance with standardized ground control.” Ph.D. dissertation, Utah State Univ., Biological and Irrigation Engineering Dept., Logan, UT.
Willmott, C. J. (1982). “Some comments on the evaluation of model performance.” Bull. Am. Meteorol. Soc.BAMIAT, 63(11), 1309–1313.
Information & Authors
Information
Published In
Journal of Irrigation and Drainage Engineering
Volume 138 • Issue 5 • May 2012
Pages: 416 - 423
Copyright
© 2012. American Society of Civil Engineers.
History
Received: Dec 22, 2010
Accepted: Aug 31, 2011
Published online: Aug 31, 2011
Published in print: May 1, 2012
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.