Table of Contents Author Guidelines Submit a Manuscript
International Journal of Agronomy
Volume 2017 (2017), Article ID 3632501, 16 pages
https://doi.org/10.1155/2017/3632501
Research Article

Comparative Analysis of METRIC Model and Atmometer Methods for Estimating Actual Evapotranspiration

1Department of Agricultural and Biosystems Engineering, South Dakota State University, Brookings, SD 57007, USA
2Minnesota Department of Agriculture, Saint Paul, MN, USA
3Iowa Soybean Association, Ankeny, IA, USA

Correspondence should be addressed to Arturo Reyes-González; xm.bog.pafini@orutra.seyer

Received 28 April 2017; Revised 23 September 2017; Accepted 9 October 2017; Published 3 December 2017

Academic Editor: Othmane Merah

Copyright © 2017 Arturo Reyes-González et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. R. Allen, A. Irmak, R. Trezza, J. M. H. Hendrickx, W. Bastiaanssen, and J. Kjaersgaard, “Satellite-based ET estimation in agriculture using SEBAL and METRIC,” Hydrological Processes, vol. 25, no. 26, pp. 4011–4027, 2011. View at Publisher · View at Google Scholar · View at Scopus
  2. M. C. Anderson, R. G. Allen, A. Morse, and W. P. Kustas, “Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources,” Remote Sensing of Environment, vol. 122, pp. 50–65, 2012. View at Publisher · View at Google Scholar · View at Scopus
  3. M. E. Jensen and R. G. Allen, “Evaporation, evapotranspiration, and irrigation water requirements,” in ASCE Manuals and Reports on Engineering Practice, vol. 70, p. 744, 2nd edition, 2016. View at Google Scholar
  4. P. S. Thenkabail, M. A. Hanjra, V. Dheeravath, and M. Gumma, “A holistic view of global croplands and their water use for ensuring global food security in the 21st century through advanced remote sensing and non-remote sensing approaches,” Remote Sensing, vol. 2, no. 1, pp. 211–261, 2010. View at Publisher · View at Google Scholar · View at Scopus
  5. M. G. Bos, R. A. L. Kselik, R. G. Allen, and D. J. Molden, Water Requirements for Irrigation and the Environment, Springer Science and Business Media, Dordrecht, Netherlands, 2009. View at Publisher · View at Google Scholar · View at Scopus
  6. R. G. Allen, M. Tasumi, A. Morse et al., “Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)—applications,” Journal of Irrigation and Drainage Engineering, vol. 133, no. 4, pp. 395–406, 2007. View at Publisher · View at Google Scholar · View at Scopus
  7. P. H. Gowda, J. L. Chavez, P. D. Colaizzi, S. R. Evett, T. A. Howell, and J. A. Tolk, “ET mapping for agricultural water management: present status and challenges,” Irrigation Science, vol. 26, no. 3, pp. 223–237, 2008. View at Publisher · View at Google Scholar · View at Scopus
  8. R. G. Allen, L. S. Pereira, D. Raes, and M. Smith, “Crop evapotranspiration: guide-lines for computing crop requirements,” in Irrigation and Drainage Paper, vol. 56, FAO, Rome, Italy, 1998. View at Google Scholar
  9. B. A. George, B. R. S. Reddy, N. S. Raghuwanshi, and W. W. Wallender, “Decision support system for estimating reference evapotranspiration,” Journal of Irrigation and Drainage Engineering, vol. 128, no. 1, pp. 1–10, 2002. View at Publisher · View at Google Scholar · View at Scopus
  10. R. Allen, M. Tasumi, and R. Trezza, “Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)—model,” Journal of Irrigation and Drainage Engineering, vol. 133, no. 4, pp. 380–394, 2007. View at Publisher · View at Google Scholar · View at Scopus
  11. J. Kjaersgaard, R. Allen, and A. Irmak, “Improved methods for estimating monthly and growing season ET using METRIC applied to moderate resolution satellite imagery,” Hydrological Processes, vol. 25, no. 26, pp. 4028–4036, 2011. View at Publisher · View at Google Scholar · View at Scopus
  12. J. Kjaersgaard, R. G. Allen, C. Robinson et al., “Computation of evapotranspiration in parts of South Platte and North Platte River basin using Landsat Imagery,” in Proceedings of the Pecora 17-The Future of Land Imaging…Going Operational, Denver, Colo, USA, November 2008. View at Publisher · View at Google Scholar · View at Scopus
  13. J. L. Chávez, P. H. Gowda, S. R. Evett, P. D. Colaizzi, T. A. Howell, and T. Marek, “An application METRIC for ET mapping in the Texas high plains,” in Proceedings of the ASABE Annual International Meeting, Minneapolis, Minn, USA, June 2007.
  14. R. K. Singh and A. Irmak, “Treatment of anchor pixels in the METRIC model for improved estimation of sensible and latent heat fluxes,” Hydrological Sciences Journal, vol. 56, no. 5, pp. 895–906, 2011. View at Publisher · View at Google Scholar · View at Scopus
  15. N. C. Healey, A. Irmak, T. J. Arkebauer et al., “Remote sensing and in situ-based estimates of evapotranspiration for subirrigated meadow, dry valley, and upland dune ecosystems in the semi-arid sand hills of Nebraska, USA,” Irrigation and Drainage Systems, vol. 25, no. 3, pp. 151–178, 2011. View at Publisher · View at Google Scholar · View at Scopus
  16. B. Hankerson, J. Kjaersgaard, and C. Hay, “Estimation of evapotranspiration from fields with and without cover crops using remote sensing and in situ methods,” Remote Sensing, vol. 4, no. 12, pp. 3796–3812, 2012. View at Publisher · View at Google Scholar · View at Scopus
  17. M. Carrasco-Benavides, S. Ortega-Farías, L. O. Lagos, J. Kleissl, L. Morales-Salinas, and A. Kilic, “Parameterization of the satellite-based model (METRIC) for the estimation of instantaneous surface energy balance components over a drip-irrigated vineyard,” Remote Sensing, vol. 6, no. 11, pp. 11342–11371, 2014. View at Publisher · View at Google Scholar · View at Scopus
  18. M. T. Folhes, C. D. Rennó, and J. V. Soares, “Remote sensing for irrigation water management in the semi-arid Northeast of Brazil,” Agricultural Water Management, vol. 96, no. 10, pp. 1398–1408, 2009. View at Publisher · View at Google Scholar · View at Scopus
  19. V. M. Gordillo, H. M. Flores, L. Tijerina, and R. Arteaga, “Estimation of evapotranspiration using energy balance and satellite images,” Revista Mexicana de Ciencias Agrícolas, vol. 5, no. 1, pp. 143–155, 2014 (Spanish). View at Google Scholar
  20. H. Zhang, R. G. Anderson, and D. Wang, “Satellite-based crop coefficient and regional water use estimates for Hawaiian sugarcane,” Field Crops Research, vol. 180, pp. 143–154, 2015. View at Publisher · View at Google Scholar · View at Scopus
  21. R. Liebert, J. Huntington, C. Morton, S. Sueki, and K. Acharya, “Reduced evapotranspiration from leaf beetle induced tamarisk defoliation in the Lower Virgin River using satellite-based energy balance,” Ecohydrology, vol. 9, no. 1, pp. 179–193, 2016. View at Publisher · View at Google Scholar · View at Scopus
  22. M. Mkhwanazi, J. L. Chávez, and E. H. Rambikur, “Comparison of Large Aperture Scintillometer and satellite-based energy balance models in sensible heat flux and crop evapotranspiration determination,” International Journal of Remote Sensing Applications, vol. 2, no. 1, pp. 24–30, 2012. View at Google Scholar
  23. R. Trezza, R. G. Allen, and M. Tasumi, “Estimation of actual evapotranspiration along the Middle Rio Grande of New Mexico using MODIS and landsat imagery with the METRIC model,” Remote Sensing, vol. 5, no. 10, pp. 5397–5423, 2013. View at Publisher · View at Google Scholar · View at Scopus
  24. C. Santos, I. J. Lorite, M. Tasumi, R. G. Allen, and E. Fereres, “Integrating satellite-based evapotranspiration with simulation models for irrigation management at the scheme level,” Irrigation Science, vol. 26, no. 3, pp. 277–288, 2008. View at Publisher · View at Google Scholar · View at Scopus
  25. M. Choi, W. P. Kustas, M. C. Anderson, R. G. Allen, F. Li, and J. H. Kjaersgaard, “An intercomparison of three remote sensing-based surface energy balance algorithms over a corn and soybean production region (Iowa, U.S.) during SMACEX,” Agricultural and Forest Meteorology, vol. 149, no. 12, pp. 2082–2097, 2009. View at Publisher · View at Google Scholar · View at Scopus
  26. M. Choi, T. W. Kim, M. Park, and S. J. Kim, “Evapotranspiration estimation using the Landsat-5 Thematic Mapper image over the Gyungan watershed in Korea,” International Journal of Remote Sensing, vol. 32, no. 15, pp. 4327–4341, 2011. View at Publisher · View at Google Scholar · View at Scopus
  27. M. P. Gonzalez-Dugo, C. M. U. Neale, L. Mateos et al., “A comparison of operational remote sensing-based models for estimating crop evapotranspiration,” Agricultural and Forest Meteorology, vol. 149, no. 11, pp. 1843–1853, 2009. View at Publisher · View at Google Scholar · View at Scopus
  28. A. N. French, D. J. Hunsaker, and K. R. Thorp, “Remote sensing of evapotranspiration over cotton using the TSEB and METRIC energy balance models,” Remote Sensing of Environment, vol. 158, pp. 281–294, 2015. View at Publisher · View at Google Scholar · View at Scopus
  29. T. A. Paço, I. Pôças, M. Cunha et al., “Evapotranspiration and crop coefficients for a super intensive olive orchard. An application of SIMDualKc and METRIC models using ground and satellite observations,” Journal of Hydrology, vol. 519, pp. 2067–2080, 2014. View at Publisher · View at Google Scholar · View at Scopus
  30. N. Bhattarai, L. J. Quackenbush, M. Dougherty, and L. J. Marzen, “A simple Landsat–MODIS fusion approach for monitoring seasonal evapotranspiration at 30 m spatial resolution,” International Journal of Remote Sensing, vol. 36, no. 1, pp. 115–143, 2015. View at Publisher · View at Google Scholar · View at Scopus
  31. I. Broner and R. A. P. Law, “Evaluation of a modified atmometer for estimating reference ET,” Irrigation Science, vol. 12, no. 1, pp. 21–26, 1991. View at Publisher · View at Google Scholar · View at Scopus
  32. M. Alam and T. P. Trooien, “Estimating reference evapotranspiration with an atmometer,” Applied Engineering in Agriculture, vol. 17, no. 2, pp. 153–158, 2001. View at Google Scholar · View at Scopus
  33. V. Magliulo, R. D'Andria, and G. Rana, “Use of the modified atmometer to estimate reference evapotranspiration in Mediterranean environments,” Agricultural Water Management, vol. 63, no. 1, pp. 1–14, 2003. View at Publisher · View at Google Scholar · View at Scopus
  34. S. Irmak, M. D. Dukes, and J. M. Jacobs, “Using modified Bellani plate evapotranspiration gauges to estimate short canopy reference evapotranspiration,” Journal of Irrigation and Drainage Engineering, vol. 131, no. 2, pp. 164–175, 2005. View at Publisher · View at Google Scholar · View at Scopus
  35. J. C. Mendonça, E. F. Sousa, S. Bernardo, G. P. Dias, and S. Grippa, “Comparação entre métodos de estimativa da evapotranspiração de referência (ETo) na região Norte Fluminense, RJ,” Revista Brasileira de Engenharia Agrícola e Ambiental, vol. 7, no. 2, pp. 275–279, 2003 (Portuguese). View at Publisher · View at Google Scholar
  36. M. P. Casanova, I. Messing, A. Joel, and A. M. Cañete, “Methods to estimate lettuce evapotranspiration in greenhouse conditions in the central zone of Chile,” Chilean Journal of Agricultural Research, vol. 69, pp. 60–70, 2009. View at Google Scholar · View at Scopus
  37. W. L. Pelton, “Evaporation from atmometers and pans,” Canadian Journal of Plant Science, vol. 44, no. 5, pp. 397–404, 1964. View at Publisher · View at Google Scholar
  38. G. J. Kidron, “Measurements of evaporation with a novel mini atmometer in the Negev,” Weather, vol. 60, no. 9, pp. 268–272, 2005. View at Publisher · View at Google Scholar
  39. J. W. Knox, J. A. Rodriguez-Diaz, and T. M. Hess, “Estimating evapotranspiration by using atmometers for irrigation scheduling in a humid environment,” Journal of Irrigation and Drainage Engineering, vol. 137, no. 11, pp. 685–691, 2011. View at Publisher · View at Google Scholar · View at Scopus
  40. S. Taghvaeian, J. L. Chávez, W. C. Bausch, K. C. DeJonge, and T. J. Trout, “Minimizing instrumentation requirement for estimating crop water stress index and transpiration of maize,” Irrigation Science, vol. 32, no. 1, pp. 53–65, 2014. View at Publisher · View at Google Scholar · View at Scopus
  41. D. Lamine, B. Ansoumana, and D. Dior, “Use of atmometers to estimate reference evapotranspiration in Arkansas,” African Journal of Agricultural Research, vol. 10, no. 48, pp. 4376–4383, 2015. View at Publisher · View at Google Scholar
  42. K. W. Peterson, D. J. Bremer, and J. D. Fry, “Evaluation of atmometers within urban home lawn microclimates,” Crop Science, vol. 55, no. 5, pp. 2359–2367, 2015. View at Publisher · View at Google Scholar · View at Scopus
  43. A. Reyes-González, T. Trooien, C. Hay, and J. Kjaersgaard, “Comparison of reference evapotranspiration estimates by automated weather station and measured an atmometer,” in Proceedings of the 2016 Western South Dakota Hydrology Conference, Rapid City, SD, USA, April 2016.
  44. Soil Survey Staff, Natural Resources Conservation Service, Unite States Department of Agriculture. Web soil survey, October 2016, http://websoilsurvey.nrcs.usda.gov.
  45. B. D. Keim, “The lasting scientific impact of the thornthwaite water-balance model,” Geographical Review, vol. 100, no. 3, pp. 295–300, 2010. View at Publisher · View at Google Scholar · View at Scopus
  46. USGS-GLOVIS, “Global visual viewer,” 2011, http://glovis.usgs.gov.
  47. J. Kjaersgaard and R. G. Allen, “Remote sensing technology to produce consumptive water use maps for the Nebraska Panhandle,” Tech. Rep. 88, University of Nebraska, Lincoln, Neb, USA, 2010. View at Google Scholar
  48. USGS-Landsat, 2016, http://landsat.usgs.gov/gap-filling-landsat-7-slc-single-scenes-using-erdas-imagine-TM.
  49. W. G. M. Bastiaanssen, E. J. M. Noordman, H. Pelgrum, G. Davids, B. P. Thoreson, and R. G. Allen, “SEBAL model with remotely sensed data to improve water-resources management under actual field conditions,” Journal of Irrigation and Drainage Engineering, vol. 131, no. 1, pp. 85–93, 2005. View at Publisher · View at Google Scholar · View at Scopus
  50. M. Tasumi, R. G. Allen, R. Trezza, and J. L. Wright, “Satellite-based energy balance to assess within-population variance of crop coefficient curves,” Journal of Irrigation and Drainage Engineering, vol. 131, no. 1, pp. 94–109, 2005. View at Publisher · View at Google Scholar · View at Scopus
  51. M. Tasumi, Progress in operational estimation of regional evapotranspiration using satellite imagery [Ph.D. thesis], University of Idaho, Moscow, Idaho, USA, 2003.
  52. W. G. M. Bastiaanssen, M. Menenti, R. A. Feddes, and A. A. M. Holtslag, “A remote sensing surface energy balance algorithm for land (SEBAL): 1. Formulation,” Journal of Hydrology, vol. 212, no. 1–4, pp. 198–212, 1998. View at Publisher · View at Google Scholar · View at Scopus
  53. J. L. Wright, “New evapotranspiration crop coefficients,” Journal of the Irrigation & Drainage Division, vol. 108, pp. 57–74, 1982. View at Google Scholar · View at Scopus
  54. ASCE-EWRI, “The ASCE Standardized Reference Evapotranspiration Equation,” Report of the ASCE-EWRI Task Committee on Standardization of Reference Evapotranspiration, ASCE, Reston, Va, USA, 2005. View at Google Scholar
  55. P. Gavilán and F. Castillo-Llanque, “Estimating reference evapotranspiration with atmometers in a semiarid environment,” Agricultural Water Management, vol. 96, no. 3, pp. 465–472, 2009. View at Publisher · View at Google Scholar · View at Scopus
  56. S. Irmak, L. O. Odhiambo, J. E. Specht, and K. Djaman, “Hourly and daily single and basal evapotranspiration crop coefficients as a function of growing degree days, days after emergence, leaf area index, fractional green canopy cover, and plant phenology for soybean,” Transactions of the ASABE, vol. 56, no. 5, pp. 1785–1803, 2013. View at Publisher · View at Google Scholar · View at Scopus
  57. C. J. Willmott, “On the validation of models,” Physical Geography, vol. 2, no. 2, pp. 184–194, 1981. View at Publisher · View at Google Scholar · View at Scopus
  58. K. Djaman and S. Irmak, “Actual crop evapotranspiration and alfalfa- and grass-reference crop coefficients of maize under full and limited irrigation and rainfed conditions,” Journal of Irrigation and Drainage Engineering, vol. 139, no. 6, pp. 433–446, 2013. View at Publisher · View at Google Scholar · View at Scopus
  59. A. Reyes-González, T. Trooien, J. Kjaersgaard, C. Hay, and D. G. Reta-Sánchez, “Development of crop coefficients using remote sensing-based vegetation index and growing degree days,” in Proceedings of the ASABE Annual International Meeting, Orlando, Fla, USA, July 2016. View at Publisher · View at Google Scholar · View at Scopus
  60. A. Irmak and S. Irmak, “Reference and crop evapotranspiration in South Central Nebraska. II: Measurement and estimation of actual evapotranspiration for corn,” Journal of Irrigation and Drainage Engineering, vol. 134, no. 6, pp. 700–715, 2008. View at Publisher · View at Google Scholar · View at Scopus
  61. R. K. Singh and A. Irmak, “Estimation of crop coefficients using satellite remote sensing,” Journal of Irrigation and Drainage Engineering, vol. 135, no. 5, pp. 597–608, 2009. View at Publisher · View at Google Scholar · View at Scopus
  62. P. Droogers, W. W. Immerzeel, and I. J. Lorite, “Estimating actual irrigation application by remotely sensed evapotranspiration observations,” Agricultural Water Management, vol. 97, no. 9, pp. 1351–1359, 2010. View at Publisher · View at Google Scholar · View at Scopus
  63. G. Carrillo-Rojas, B. Silva, M. Córdova, R. Célleri, and J. Bendix, “Dynamic mapping of evapotranspiration using an energy balance-based model over an andean páramo catchment of southern ecuador,” Remote Sensing, vol. 8, no. 2, article 160, 2016. View at Publisher · View at Google Scholar · View at Scopus
  64. C. G. Morton, J. L. Huntington, G. M. Pohll, R. G. Allen, K. C. Mcgwire, and S. D. Bassett, “Assessing calibration uncertainty and automation for estimating evapotranspiration from agricultural areas using METRIC,” JAWRA Journal of the American Water Resources Association, vol. 49, no. 3, pp. 549–562, 2013. View at Publisher · View at Google Scholar · View at Scopus
  65. D. J. Gleason, A. A. Andales, T. A. Bauder, and J. L. Chávez, “Performance of atmometers in estimating reference evapotranspiration in a semi-arid environment,” Agricultural Water Management, vol. 130, pp. 27–35, 2013. View at Publisher · View at Google Scholar · View at Scopus
  66. F. Chen and P. J. Robinson, “Estimating reference crop evapotranspiration with ETgages,” Journal of Irrigation and Drainage Engineering, vol. 135, no. 3, pp. 335–342, 2009. View at Publisher · View at Google Scholar · View at Scopus
  67. R. G. Anderson, D. Wang, R. Tirado-Corbalá, H. Zhang, and J. E. Ayars, “Divergence of actual and reference evapotranspiration observations for irrigated sugarcane with windy tropical conditions,” Hydrology and Earth System Sciences, vol. 19, no. 1, pp. 583–599, 2015. View at Publisher · View at Google Scholar · View at Scopus
  68. R. S. Westerhoff, “Using uncertainty of Penman and Penman-Monteith methods in combined satellite and ground-based evapotranspiration estimates,” Remote Sensing of Environment, vol. 169, pp. 102–112, 2015. View at Publisher · View at Google Scholar · View at Scopus
  69. M. H. Mokhtari, B. Ahmad, H. Hoveidi, and I. Busu, “Sensitivity analysis of METRIC-based evapotranspiration algorithm,” International Journal of Environmental Research, vol. 7, no. 2, pp. 407–422, 2013. View at Google Scholar · View at Scopus