An image-based four-source surface energy balance model to estimate crop evapotranspiration from solar reflectance/thermal emission data (SEB-4S)

Agricultural and Forest Meteorology

Volumn 184, Issue , 2014, Pages 188-203

  Merlin, Olivier ^a   Chirouze, Jonas ^a   Olioso, Albert ^b   Jarlan, Lionel ^a   Chehbouni, Ghani ^a   Boulet, Gilles ^a  

^a CESBIO   (France)

^b UAPV   (France)

Author keywords

Albedo; Evapotranspiration; Partitioning; Reflectance; Temperature; Thermal

Indexed keywords

ALBEDO; ASTER; DATA SET; ENERGY BALANCE; EVAPOTRANSPIRATION; FORMOSAT-2; IMAGE ANALYSIS; IN SITU MEASUREMENT; METEOROLOGY; NUMERICAL MODEL; PARTITIONING; POLYGON; REFLECTANCE; REMOTE SENSING; SOIL MOISTURE; SURFACE TEMPERATURE; VEGETATION STRUCTURE;

EID: 84887335480     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agrformet.2013.10.002     Document Type: Article

References (67)

1. Allen, R.G., Pereira, L.S., Raes, D., Smith, M., 1998. Crop evapotranspiration - guidelines for computing crop water requirements. FAO Irrigation and drainage paper 56, FAO, Rome.
2. Anderson M.C., Allen R.G., Morse A., Kustas W.P. Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources. Remote Sens. Environ. 2012, 122:50-65. doi:10.1016/j.rse.2011.08.025.
3. Anderson M.C., Norman J.M., Mecikalski J.R., Otkin J.A., Kustas W.P. A climatological study of evapotranspiration and moisture stress across the continental united states based on thermal remote sensing: 1. Model formulation. J. Geophys. Res. 2007, 112(D10117). doi:10.1029/2006JD007506.
4. Bastiaanssen W.G.M., Menenti M., Feddes R.A., Holtslag A.A.M. A remote sensing surface energy balance algorithm for land (SEBAL) 1. Formul. J. Hydrol. 1998, 212-213:198-212.
5. Bouilloud L., Chancibault K., Vincendon B., Ducrocq V., Habets F., Saulnier G.-M., Anquetin S., Martin E., Noilhan J. Coupling the ISBA land surface model and the TOPMODEL hydrological model for Mediterranean flash-flood forecasting: description, calibration, and validation. J. Hydrometeorol. 2010, 11:315-333.
6. Boulet G., Chehbouni A., Gentine P., Duchemin B., Ezzahar J., Hadria R. Monitoring water stress using time series of observed to unstressed surface temperature difference. Agric. Forest Meteorol. 2007, 146:157-172.
7. Brutsaert W. On a derivable formula for long-wave radiation from clear skies. Water Resour. Res. 1975, 11(5):742-744.
8. Bsaibes A., Courault D., Baret F., Weiss M., Olioso A., Jacob F., Hagolle O., Marloie O., Bertrand N., Desfond V., Kzemipour F. Albedo and LAI estimates from FORMOSAT-2 data for crop monitoring. Remote Sens. Environ. 2009, 113:716-729. 10.1016/j.rse.2008.11.014.
9. Cammalleri C., Anderson M.C., Ciraolo G., D'Urso G., Kustas W.P., Loggia G.L., Minacapilli M. Applications of a remote sensing-based two-source energy balance algorithm for mapping surface fluxes without in situ air temperature observations. Remote Sens. Environ. 2012, 124:502-515. 10.1016/j.rse.2012.06.009.
10. Campbell G., Norman J. An Introduction to Environmental Biophysics 1998, Springer, New York, USA. 2nd ed.
11. Carlson T.N., Gillies R.R., Schmugge T.J. An interpretation of methodologies for indirect measurement of soil water content. Agric. Forest Meteorol. 1995, 77:191-205.
12. Chern J.-S., Ling J., Weng S.-L. Taiwan's second remote sensing satellite. Acta Astron. 2008, 63(11-12):1305-1311. 10.1016/j.actaastro.2008.05.022.
13. Chirouze J., Boulet G., Jarlan L., Fieuzal R., Rodriguez J.C., Ezzahar J., Er-raki S., Bigeard G., Merlin O., Garatuza-Payan J., Watts C., Chehbouni G. Inter-comparison of four remote sensing based surface energy balance methods to retrieve surface evapotranspiration and water stress of irrigated fields in semi-arid climate. Hydrol. Earth Syst. Sci. Discuss. 2013, 10:895-963. 10.5194/hessd-10-895-2013.
14. Choi M., Kustas W.P., Anderson M.C., Allen R.G., Li F., Kjaersgaard J.H. An intercomparison of three remote sensing-based surface energy balance algorithms over a corn and soybean production region (Iowa, U.S.) during SMACEX. Agric. Forest Meteorol. 2009, 149:2082-2097. 10.1016/j.agrformet.2009.07.002.
15. Cleugh H., Leuning R., Mu Q., Running S. Regional evaporation estimates from flux tower and MODIS satellite data. Remote Sens. Environ. 2007, 106:285-304.
16. Courault D., Seguin B., Olioso A. Review on estimation of evapotranspiration from remote sensing data: from empirical to numerical modeling approaches. Irrig. Drain. Syst. 2005, 19:223-249.
17. Fieuzal R., Duchemin B., Jarlan L., Zribi M., Baup F., Merlin O., Hagolle O., Garatuza-Payan J. Combined use of optical and radar satellite data for the monitoring of irrigation and soil moisture of wheat crops. Hydrol. Earth Syst. Sci. 2011, 15:1117-1129.
18. Findell K.L., Gentine P., Lintner B.R., Kerr C. Probability of afternoon precipitation in eastern United States and Mexico enhanced by high evaporation. Nat. Geosci. 2011, 4:434-439.
19. Galleguillos M., Jacob F., Prévot L., French A., Lagacherie P. Comparison of two temperature differencing methods to estimate daily evapotranspiration over a Mediterranean vineyard watershed from ASTER data. Remote Sens. Environ. 2011, 115:1326-1340.
20. Gillespie A., Rokugawa S., Matsunaga T., Cothern S., Hook S., Khale A. A temperature and emissivity separation algorithm for Advanced Spaceborne Thermal Emission and Reflection (ASTER) images. IEEE Trans. Geosci. Remote Sens. 1998, 36:1113-1126.
21. Gonzalez-Dugo M.P., Neale C.M.U., Mateos L., Kustas W.P., Prueger J.H., Anderson M.C., Li F. A comparison of operational remote sensing-based models for estimating crop evapotranspiration. Agric. Forest Meteorol. 2009, 149:1843-1853. 10.1016/j.agrformet.2009.06.012.
22. Gowda P.H., Chavez J.L., Colaizzi P.D., Evett S.R., Howell T.A., Tolk J.A. ET mapping for agricultural water management: present status and challenges. Irrig. Sci. 2008, 26:223-237. 10.1007/s00271-007-0088-6.
23. Gutman G., Ignatov A. The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models. Int. J. Remote Sens. 1998, 19:1533-1543.
24. Gutmann E.D., Small E.E. A comparison of land surface model soil hydraulic properties estimated by invese modeling and pedotransfer functions. Water Resour. Res. 2007, 43(W06520).
25. Hain C., Mecikalski J., Anderson M. Retrieval of an available water-based soil moisture proxy from thermal infrared remote sensing. Part I: methodology and validation. J. Hydrometeorol. 2009, 10:665-683.
26. Hansen, V.F., 1993. Albedos. Vol. ARL-TR-57. Army Research Laboratory, US.
27. Idso S.B., Jackson R.D., Pinter P.J., Reginato R.J., Hatfield J.L. Normalizing the stress-degree-day parameter for environmental variability. Agric. Meteorol. 1981, 24:45-55.
28. Idso S.B., Jackson R.D., Reginato R.J., Kimball B.A., Nakayama F.S. The dependence of soil albedo on soil water content. J. Appl. Meteor. 1975, 14:109-113.
29. Jackson R.D., Idso S.B., Reginato R.J., Pinter P.J. Canopy temperature as a crop water stress indicator. Water Resour. Res. 1981, 17(4):1133-1138.
30. Jiang L., Islam S. A methodology for estimation of surface evapotranspiration over large areas using remote sensing observations. Geophys. Res. Lett. 1999, 26:2773-2776.
31. Kalma J.D., McVicar T.R., McCabe M.F. Estimating land surface evaporation: a review of methods using remotely sensed surface temperature data. Surv. Geophys. 2008, 29(4-5):421-469. 10.1007/s10712-008-9037-z.
32. Kerr, Y.H., Waldteufel, P., Wigneron, J.-P., Delwart, S., Cabot, F., Boutin, J., Escorihuela, M.J., Font, J., Reul, N., Gruhier, C., Juglea, S.E., Drinkwater, M.R., Hahne, A., Martin-Neira, M., Mecklenburg, S., 2010. The SMOS mission: new tool for monitoring key elements of the global water cycle. In: IEEE, vol. 98, pp. 666-687, doi:10.1109/JPROC.2010.2043032.
33. Kondratyev K.Y., Korzov V.I., Mukhenberg V.V., Dyachenko L.N. The Shortwave Albedo and the Surface Emissivity 1982, Cambridge Univ. Press, UK. P.S. Eagleson (Ed.).
34. Krapez J.-C., Olioso A. A combination of temperature, vegetation indexes and albedo, as obtained by airborne hyperspectral remote sensing, for the evaluation of soil moisture. Quant. Infrared Thermogr. J. 2011, 8:187-200. 10.3166/qirt.8.187-200.
35. Kustas W.P., Anderson M.C. Advances in thermal infrared remote sensing for land surface modeling. Agric. Forest Meteorol. 2009, 149:2071-2081. 10.1016/j.agrformet.2009.05.016.
36. Kustas W.P., Daughtry C.S.T. Estimation of the soil heat flux/net radiation ratio from spectral data. Agric. Forest Meteorol. 1989, 49:205-223.
37. Long D., Singh V.P. A two-source trapezoid model for evapotranspiration (TTME) from satellite imagery. Remote Sens. Environ. 2012, 121:370-388.
38. Long D., Singh V.P., Li Z.-L. How sensitive is SEBAL to changes in input variables, domain sizes and satellite sensor?. J. Geophys. Res. 2011, 116(D21107).
39. Long D., Singh V.P., Scalon B.R. Deriving theoretical boundaries to address scale dependencies of triangle models for evapotranspiration estimation. J. Geophys. Res. 2012, 117(D05113).
40. Matthias A.D., Fimbres A., Sano E.E., Post D.F., Accioly L., Batchily A.K., Ferreira L.G. Surface roughness effects on soil albedo. Soil Sci. Am. J. 2000, 64:1035-1041.
41. Menenti M., Bastiaanssen W., van Eick D., Abd el Karim M.A. Linear relationships between surface reflectance and temperature and their application to map actual evaporation of groundwater. Adv. Space Res. 1989, 9(1):165-176.
42. Merlin O. An original interpretation of the wet edge of the surface temperature-albedo space to estimate crop evapotranspiration (SEB-1S), and its validation over an irrigated area in northwestern Mexico. Hydrol. Earth Syst. Sci. 2013, 17:3623-3637. 10.5194/hess-17-3623-2013.
43. Merlin O., Al Bitar A., Rivalland V., Béziat P., Ceschia E., Dedieu G. An analytical model of evaporation efficiency for unsaturated soil surfaces with an arbitrary thickness. J. Appl. Meteor. Clim. 2011, 50(2):457-471. 10.1175/2010JAMC2418.1.
44. Merlin O., Chehbouni G. Different approaches in estimating heat flux using dual angle observations of radiative surface temperature. Int. J. Remote Sens. 2004, 25(1):275-289.
45. Merlin O., Duchemin B., Hagolle O., Jacob F., Coudert B., Chehbouni G., Dedieu G., Garatuza J., Kerr Y. Disaggregation of MODIS surface temperature over an agricultural area using a time series of Formosat-2 images. Remote Sens. Environ. 2010, 114(11):2500-2512. 10.1016/j.rse.2010.05.025.
46. Merlin O., Escorihuela M.J., Mayoral M.A., Hagolle O., Al Bitar A., Kerr Y. Self-calibrated evaporation-based disaggregation of SMOS soil moisture: an evaluation study at 3km and 100m resolution in Catalunya, Spain. Remote Sens. Environ. 2013, 130:25-38. 10.1016/j.rse.2012.11.008.
47. Merlin O., Jacob F., Wigneron J.-P., Walker J., Chehbouni G. Multi-dimensional disaggregation of land surface temperature using high-resolution red, near-infrared, shortwave-infrared and microwave-L bands. IEEE Trans. Geosci. Remote Sens. 2012, 50(5):1864-1880. 10.1109/TGRS.2011.2169802.
48. Merlin O., Rüdiger C., Al Bitar A., Richaume P., Walker J., Kerr Y. Disaggregation of SMOS soil moisture in southeastern Australia. IEEE Trans. Geosci. Remote Sens. 2012, 50(5):1556-1571. 10.1109/TGRS.2011.2175000.
49. Monteith J.L. Principles of Environmental Physics 1973, Edward Arnold Press, London.
50. Moran M.S., Clarke T.R., Inoue Y., Vidal A. Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index. Remote Sens. Environ. 1994, 49:246-263.
51. Nagler P.L., Inoue Y., Glenn E.P., Russ A.L., Daughtry C.S.T. Cellulose absorption index (CAI) to quantify mixed soil-plant litter scenes. Remote Sens. Environ. 2003, 87:310-325.
52. Norman J.M., Kustas W.P., Humes K.S. A two-source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature. Agric. Forest Meteorol. 1995, 77:263-293.
53. Ogawa K., Schmugge T. Mapping surface broadband emissivity of the Sahara desert using ASTER and MODIS data. Earth Interact. 2004, 8(7):1-14.
54. Oki T., Kanae S. Global hydrological cycles and world water resources. Science 2006, 313:1068-1072.
55. Piggin I., Schwerdtfeger P. Variations in the albedo of wheat and barley crops. Arch. Met. Geoph. Biokl. Ser. B 1973, 21:365-391.
56. Prihodko L., Goward S.N. Estimation of air temperature from remotely sensed surface observations. Remote Sens. Environ. 1997, 60:335-346.
57. Roerink G.J., Su Z., Menenti M. S-SEBI: a simple remote sensing algorithm to estimate the surface energy balance. Phys. Chem. Earth 2000, 25(2):147-157.
58. Schmugge T.J., Hook S.J., Coll C. Recovering surface temperature and emissivity from thermal infrared multispectral data. Remote Sens. Environ. 1998, 65:121-131.
59. Seneviratne S.I., Luthi D., Litschi M., Schar C. Land-atmosphere coupling and climate change in Europe. Nature 2006, 443:205-209.
60. Sheffield J., Wood E.F. Projected changes in drought occurrence under future global warming from multi-model, multi-scenario, IPCC AR4 simulations. Clim. Dyn. 2008, 31:79-105.
61. Su Z. The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes. Hydrol. Earth Syst. Sci. 2002, 6(1):85-99.
62. Tang R., Li Z.-L., Tang B. An application of the Ts-VI method with enhanced edges determination for evapotranspiration estimation from MODIS data in arid and semi-arid regions: implementation and validation. Remote Sens. Environ. 2010, 114:540-551. doi:10.1016/j.rse.2009.10.012.
63. Tanguy M., Baille A., González-Real M.M., Lloyd C., Cappelaere B., Kergoat L., Cohard J.-M. A new parameterisation scheme of ground heat flux for land surface flux retrieval from remote sensing information. J. Hydrol. 2012, 454-455:113-122. 10.1016/j.jhydrol.2012.06.002.
64. Ten Berge, H., 1986. Heat and wave transfer at the bare soil surface. Aspects affecting thermal imagery. Ph.D. Thesis, Wagenigen Univ., The Netherlands.
65. Timmermans W.J., Kustas W.P., Anderson M.C., French A.N. An intercomparison of the Surface Energy Balance Algorithm for Land (SEBAL) and the Two-Source Energy Balance (TSEB) modeling schemes. Remote Sens. Environ. 2007, 108:369-384. 10.1016/j.rse.2006.11.028.
66. Wallace J.S. Increasing agricultural water use efficiency to meet future food production. Agric. Ecosyst. Environ. 2000, 82:105-119.
67. Weiss M., Baret F., Leroy M., Begué A., Hautecoeur O., Santer R. Hemispherical reflectance and albedo estimates from the accumulation of across track sun synchroneous satellite data. J. Geophys. Res. 1999, 104:221-232.