Assessment of a Remote Sensing Energy Balance Methodology (SEBAL) Using Different Interpolation Methods to Determine Evapotranspiration in a Citrus Orchard

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 8, Issue 4, 2015, Pages 1465-1477

  Jimenez Bello, Miguel Angel ^a   Castel, Juan R ^b   Testi, Luca ^c   Intrigliolo, Diego S ^d  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^b INSTITUTO VALENCIANO DE INVESTIGACIONES AGRARIAS IVIA   (Spain)

^c INSTITUTO DE AGRICULTURA SOSTENIBLE   (Spain)

^d RESEARCH GROUP ON QUALITY   (Spain)

Author keywords

Citrus; evapotranspiration; remote sensing; SEBAL

Indexed keywords

ALGORITHMS; CROPS; ENERGY BALANCE; ESTIMATION; EVAPOTRANSPIRATION; FARMS; HEAT FLUX; MEAN SQUARE ERROR; ORCHARDS;

CITRUS; CROP COEFFICIENT CURVES; DAILY GLOBAL SOLAR RADIATION; INSTANTANEOUS FLUX; INTERPOLATION METHOD; ROOT MEAN SQUARE ERRORS; SEBAL; SURFACE ENERGY BALANCE ALGORITHM FOR LANDS;

REMOTE SENSING;

ALGORITHM; ENERGY BALANCE; EVAPOTRANSPIRATION; INTERPOLATION; LATENT HEAT FLUX; LIDAR; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY;

CITRUS;

EID: 85027957080     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2015.2418817     Document Type: Article

References (58)

1. R. G. Allen, L. S. Pereira, D. Raes, and M. Smith, [[amp ]]quot;Crop evapotranspiration. Guidelines for computing crop water requirements," FAO Irrigation and Drainage Paper No. 56, Rome, Italy: FAO, 1998.
2. R. G. Allen and L. S. Pereira, "Estimating crop coefficients from fraction of ground cover and height," Irrig. Sci., vol. 28, pp. 17-34, 2009.
3. R. G. Allen et al., "Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC) - Applications," J. Irrig. Drain. Eng. ASCE, vol. 133, no. 4, pp. 395-406, 2007.
4. R. G. Allen, M. Tasumi, and R. Trezza, "Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC) - Model," J. Irrig. Drain. Eng. ASCE, vol. 133, no. 4, pp. 380-394, 2007.
5. R. G. Allen et al., "Satellite-based ET estimation in agriculture using SEBAL and METRIC," J. Hydrol. Process., vol. 25, pp. 4011-4027, 2011.
6. J. G. Annandale and C. O. Stockle, "Fluctuation of crop evapotranspiration coefficients with weather. A sensitivity analysis," Irrig. Sci., vol. 15, pp. 1-7, 1994.
7. ASPRS, LAS Specification. Version 1.3 - R10. Bethesda, MD, USA: Amer. Soc. Photogramm. Remote Sens., 2009.
8. C. Ballester, J. Castel, L. Testi, D. S. Intrigliolo, and J. R. Castel, "Can heat-pulse sap flow measurements be used as continuous water stress indicators of citrus trees?," Irrig. Sci., vol. 31, pp. 1053-1063, 2013, doi:10.1007/s00271-012-0386-5.
9. W. G. M. Bastiaanssen, "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, 1995, 273 pp.
10. W. G. M. Bastiaanssen, M. Menenti, R. A. Feddes, and A. A. M. Holstlag, "A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation," J. Hydrol., vol. 212-213, pp. 198-212, 1998.
11. W. G. M. Bastiaanssen et al., "The surface energy balance algorithm for land (SEBAL): Part 2. Validation," J. Hydrol., vol. 212-213, pp. 213-229, 1998.
12. W. G. M. Bastiaanssen, "SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin Turkey," J. Hydrol., vol. 229, pp. 87-100, 2000.
13. J. A. J. Berni, P. J. Zarco-Tejada, G. Sepulcre-Cantó, E. Fereres, and F. Villalobos, "Mapping canopy conductance and CWSI in olive orchards using high resolution thermal remote sensing imagery," Remote Sens. Environ., vol. 113, pp. 2380-2388, 2009.
14. W. H. Brutsaert, Evaporation into the Atmosphere. Amsterdam, The Netherlands: Reidel, 1982, 199 pp.
15. I. Campos, C. M. U. Neale, A. Calera, C. Balbontín, and J. González-Piqueras, "Assessing satellite-based basal crop coefficients for irrigated grapes (Vitis vinifera L.)," Agric. Water Manage., vol. 98, pp. 45-54, 2010.
16. G. S. Campbell and J. M. Norman, An Introduction to Environmental Biophysics, 2nd ed. New York, NY, USA: Springer, 1998.
17. C. Cammalleri, M. C. Anderson, and W. P. Kustas, "Upscaling of evapotranspiration fluxes from instantaneous to daytime scales for thermal remote sensing applications," Hydrol. Earth Syst. Sci. Discuss., vol. 10, pp. 7325-7350, 2013.
18. J. R. Castel, "Water use of developing citrus canopies in Valencia, Spain," in Proc. Int. Soc. Citriculture IX Congr., 2000, pp. 223-226.
19. E. Chuvieco and S. Hantson, "Plan Nacional de Teledetección de Media Resolución. Procesamiento estándar de imágenes Landsat," Documento técnico de algoritmos a aplicar, Ministerio de fomento, Gobierno de España, 2010.
20. S. Consoli, G. D'urso, and A. Toscano, "Remote sensing to estimate ET-fluxes and the performance of an irrigation district in southern Italy," Agric. Water Manage., vol. 81, pp. 295-314, 2006.
21. S. Consoli, A. Russo, and R. Snyder, "Estimating evapotranspiration of orange orchards using surface renewal and remote sensing techniques," in Proc. AIP Conf. Earth Observ. Veg. Monit. Water Manage., Naples, Italy, 2006, pp. 185-192.
22. R. D. Crago, "Conservation and variability of the evaporative fraction during the daytime," J. Hydrol., vol. 180, pp. 173-194, 1996.
23. R. D. Crago and W. Brutsaert, "A daytime evaporation and the self-preserve of the evaporative fraction and the Bowen ratio," J. Hydrol., vol. 178, pp. 241-255, 1996.
24. J. Cristóbal, J. C. Jiménez-Muñoz, J. A. Sobrino, M. Ninyerola, and X. Pons, "Improvements in land surface temperature retrieval from the Landsat series thermal band using water vapor and air temperature," J. Geophys. Res., vol. 114, p. D08103, 2009.
25. FAOSTAT. (2011). FAO statistical yearbooks - World food and agriculture [Online]. Available: http://faostat.fao.org/default.aspx
26. M. P. González-Dugo and L. Mateos, "Spectral vegetation indices for benchmarking water productivity of irrigated cotton and sugarbeet crops," Agric. Water Manage., vol. 95, pp. 48-58, 2008.
27. M. P. Gonzalez-Dugo et al., "A comparison of operational remote sensing-based models for estimating crop evapotranspiration," Agric. For. Meteorol., vol. 149, pp. 1843-1853, 2009.
28. W. Ha, P. H. Gowda, and T. A. Howell, "A review of downscaling methods for remote sensing-based irrigation management: Part I," Irrig. Sci., vol. 31, pp. 831-850, 2013, doi: 10.1007/s00271-012-0340-6.
29. J. D. Kalma, T. R. MacVicar, and M. F. McCabe, "Estimating land surface evaporation: A review of methods using remotely sensed surface temperature data," Surv. Geophys., vol. 29, pp. 421-469, 2008, doi: 10.1007/s10712-008-9037-z.
30. B. A. Kimball and R. D. Jackson, "Soil-heat flux determination: A nullalignment method," Agric. Meteorol., vol. 15, pp. 1-9, 1975.
31. P. E. Kriedemann, "Tree water relations," Acta Horticulturae, no. 175, pp. 343-350, 1986.
32. W. P. Kustas and J. M. Norman, "Use of remote sensing for evapotranspiration monitoring over land surfaces," Hydrol. Sci., vol. 41, pp. 495-516, 1996.
33. W. P. Kustas et al., "Effects of remote sensing pixel resolution on modeled energy flux variability of croplands in Iowa," Remote Sens. Environ., vol. 92, pp. 535-547, 2004.
34. S. Liang, K. Wang, X. Zhang, and M. Wild, "Review on estimation of land surface radiation and energy budgets from ground measurement, remote sensing and model simulations," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 3, no. 3, pp. 225-240, Sep. 2010.
35. P. G. Jarvis, "Coupling of transpiration to the atmosphere in horticultural crops: The omega factor," Acta Hortic., vol. 171, pp. 187-205, 1985.
36. H. Jayanthi, C. M. U. Neale, and J. L. Wright, "Development and validation of canopy reflectance-based crop coefficient for potato," Agric. Water Manage., vol. 88, pp. 235-246, 2007.
37. MAGRAMA. (2013). Anuario de estadística agrariadel Ministerio de agricultura y medio rural [Online]. Available: http://www.magrama.gob.es/estadistica/pags/anuario/2010/ae-2010-avance.pdf
38. L. Mateos, M. P. González-Dugo, L. Testi, and F. J. Villalobos, "Monitoring evapotranspiration of irrigated crops using crop coefficients derived from time series of satellite images. I. Method validation," Agric. Water Manage., vol. 125, pp. 81-91, 2013, doi: 10.1016/j.agwat.2012.11.005.
39. M. Minacapilli et al., "Estimation of actual evapotranspiration of Mediterranean perennial crops by means of remote-sensing based surface energy balance models," Hydrol. Earth Syst. Sci., vol.13, pp. 1061-1074, 2009.
40. T. Murray and A. Verhoef, "Moving towards a more mechanistic approach in the determination of soil heat flux from remote measurements. I. A universal approach to calculate thermal inertia," Agric. Forest Meteorol., vol. 147, pp. 80-87, 2007.
41. T. Murray and A. Verhoef, "Moving towards a more mechanistic approach in the determination of soil heat flux from remote measurements. II. Diurnal shape of soil heat flux," Agric. For. Meteorol., vol. 147, pp. 88-97, 2007.
42. A. Perrier, "Land surface processes: Vegetation," in Land Surface Processes in Atmospheric General Circulation Models, P. Eagelson, Ed. Cambridge, U.K.: Cambridge Univ. Press, 1982, pp. 395-448.
43. G. Rana and N. Katerji, "Measurement and estimation of actual evapotranspiration in the field under Mediterranean climate: A review," Eur. J. Agron., vol. 13, no. 2/3, pp. 125-153, 2000.
44. M. R. Raupach, "Simplified expressions for vegetation roughness length and zero-plane displacement as a function of canopy height and area index," Boundary Layer Meteorol., vol. 71, no. 1/2, pp. 211-216, 1994.
45. Y. Ryu, D. D. Baldocchi, T. A. Black, and E. J. Moors, "On the temporal upscaling of evapotranspiration from instantaneous remote sensing measurements to 8-day mean daily-sums," Agric. For. Meteorol., vol. 152, pp. 212-222, 2012.
46. Z. Samani et al., "Using remote sensing to evaluate the spatial variability of evapotranspiration and crop coefficient in the lower Rio Grande Valley, New Mexico," Irrig. Sci., vol. 28, pp. 93-100, 2009.
47. C. Santos, I. Lorite, R. Allen, and M. Tasumi, "Aerodynamic parameterization of the satellite-based energy balance (METRIC) model for ET estimation in rainfed olive orchards of Andalusia, Spain," Water Resour. Manage., vol. 26, no. 11, pp. 3267-3283, 2012.
48. C. Stanghellini, A. H. Bosma, P. C. J. Gabriels, and C. Werkhoven, "The water consumption of agricultural crops: How crop coefficients are affected by crop geometry and microclimate," Acta Hortic., vol. 278, pp. 509-515, 1990.
49. X. Tian et al., "Estimating zero-plane displacement height and aerodynamic roughness length using synthesis of LiDAR and SPOT-5 data," Remote Sens. Environ., vol. 115, no. 9, pp. 2330-2341, 2011.
50. T. E. Twine et al., "Correcting eddy-covariance flux underestimates over a grassland," Agric. For. Meteorol., vol. 103, pp. 229-317, 2000.
51. A. Verhoef, K. G. McNaughton, and A. F. G. Jacobs, "A parameterization of momentum roughness length and displacement height for a wide range of canopy densities," Hydrol. Earth Syst. Sci., vol. 1, pp. 81-91, 1997.
52. F. J. Villalobos, F. Orgaz, L. Testi, and E. Fereres, "Measurement and modelling of evapotranspiration of olive (Olea europaea L.) orchards," Eur. J Agron., vol. 13, pp. 155-163, 2000.
53. F. J. Villalobos, L. Testi, and M. F. Moreno-Pérez, "Evaporation and canopy conductance of citrus orchards," Agric. Water Manage., vol. 96, pp. 565-573, 2009.
54. T. G. Van Niel et al., "Upscaling latent heat flux for thermal remote sensing studies: Comparison of alternative approaches and correction of bias," J. Hydrol., vol. 468-469, pp. 35-46, 2012.
55. E. K. Webb, G. I. Pearman, and R. Leuning, "Corrections of flux measurements for density effects due to heat and water vapour transfer," Q. J. R. Meteorol. Soc., vol. 106, pp. 85-100, 1980.
56. C. R. Ferguson, J. Sheffield, E. F. Wood, and H. Gao, "Quantifying uncertainty in a remote sensing-based estimate of evapotranspiration over continental USA," Int. J. Remote Sens., vol. 31, no. 14, pp. 3821-3865, 2010.
57. J. M. Norman, W. P. Kustas, and K. S. Humes, "A two-source approach for estimating soil and vegetation energy fluxes from observations of directional radiometric surface temperature," Agric. For. Meteorol., vol. 77, pp. 263-293, 1995.
58. C. J. Norman, "Frequency response corrections for eddy correlation systems," Bound.-Layer Meteorol., vol. 37, pp. 17-35, 1986.