Modelling bulk surface resistance by MODIS data and assessment of MOD16A2 evapotranspiration product in an irrigation district of Southern Italy

Agricultural Water Management

Volumn 167, Issue , 2016, Pages 86-94

  Autovino, Dario ^a   Minacapilli, Mario ^a   Provenzano, Giuseppe ^a  

^a UNIVERSITY OF PALERMO   (Italy)

Author keywords

Bulk surface resistance; Evapotranspiration; MODIS; Olive grove

Indexed keywords

ATMOSPHERIC TEMPERATURE; CROPS; EVAPOTRANSPIRATION; IRRIGATION; RADIOMETERS;

ACTUAL EVAPOTRANSPIRATION; DAILY ACTUAL EVAPOTRANSPIRATIONS; EDDY COVARIANCE MEASUREMENTS; ENVIRONMENTAL CONDITIONS; LAND SURFACE TEMPERATURE; MODIS; OLIVE GROVE; SPATIAL AND TEMPORAL PATTERNS;

SURFACE RESISTANCE;

CALIBRATION; CROP PLANT; DICOTYLEDON; EDDY COVARIANCE; EVAPOTRANSPIRATION; HOMOGENEITY; IRRIGATION SYSTEM; LAND SURFACE; MODEL VALIDATION; MODIS; PENMAN-MONTEITH EQUATION; PHYSICAL PROPERTY; REMOTE SENSING; SURFACE TEMPERATURE; TIME SERIES ANALYSIS;

ITALY; SICILY;

EID: 84955279718     PISSN: 03783774     EISSN: 18732283     Source Type: Journal    
DOI: 10.1016/j.agwat.2016.01.006     Document Type: Article

References (41)

1. Allen R.G., Pereira L.S., Raes D., Smith M. Crop evapotranspiration: guidelines for computing crop water requirements. Irrigation and Drainage Paper 56 1998, 300. United Nations FAO, Rome. http://www.fao.org/docrep/X0490E/X0490E00.htm.
2. Alves I., Pereira L.S. Modelling surface resistance from climatic variables?. Agric. Water Manage. 2000, 42:371-385.
3. Bastiaanssen W.G.M., Menenti M., Feddes R.A., Holtslag A.A.M. A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation. J. Hydrol. 1998, 212/213:198-212. 10.1016/S0022-1694(98)00253-4.
4. Bastiaanssen W.G.M., Pelgrum H., Wang J., Ma Y., Moreno J.F., Roerink G.J. A remote sensing surface energy balance algorithm for land (SEBAL) 2 Validation. J. Hydrol. 1998, 212/213:213-229. 10.1016/S0022-1694(98)00254-6.
5. Bastiaanssen W.G.M., Allen R.G., Droogers P., D'Urso G., Steduto P. Twenty-five years modeling irrigated and drained soils: state of the art. Agric. Water Manage. 2007, 92:111-125.
6. Cammalleri C., Agnese C., Ciraolo G., Minacapilli M., Provenzano G. Combined use of eddy covariance and sap flow techniques for partition of ET fluxes and water stress assessment in an irrigated olive orchard. Agric. Water Manage. 2013, 120:89-97. 10.1016/j.agwat.2012.10.003.
7. Chehbouni A., Nichols W.D., Njoku E.G., Qi J., Kerr Y., Cabot F. A three component model to estimate sensible heat flux over sparse shrubs in Nevada. Remote Sens. Rev. 1997, 15:99-112.
8. Choudhury B.J., Ahmed N.U., Idso S.B., Reginato R.J., Daughtry C.S.T. Relations between evaporation coefficients and vegetation indices studied by model simulations. Remote Sens. Rev. 1994, 50:1-17.
9. Cleugh H.A., Leuning R., Mu Q., Running S.W. Regional evaporation estimates from flux tower and MODIS satellite data. Remote Sens. Environ. 2007, 106:285-304. 10.1016/j.rse.2006.07.007.
10. D'Urso G., Menenti M., Santini A. Regional application of one-dimensional water flow models for irrigation management. Agricultural Water Management 1999, 40:291-302.
11. Gupta H.V., Sorooshian S., Yapo P.O. Status of automatic calibration for hydrologic models: comparison with multilevel expert calibration. J. Hydrol. Eng. 1999, 4(2):135-143.
12. Jackson R.D., Idso S.B., Reginato R.J., Pinter J.P.J. Canopy temperature as a drought stress indicator. Water Resour. Res. 1981, 17:1133-1138.
13. Hu G.C., Jia L., Menenti M. Comparison of MOD16 and LSA-SAF MSG evapotranspiration products over Europe for 2011. Remote Sens. Environ. 2015, 156:510-526.
14. 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, 29:421-469. 10.1007/s10712-008-9037-z.
15. Katerji N., Rana G. Modelling evapotranspiration of six irrigated crops under Mediterranean climate conditions. Agric. For. Meteorol. 2006, 138:142-155.
16. Kennedy J.B., Neville A.M. Basic Statistical Methods for Engineers and Scientists 1986, Harper & Row, New York. 3rd ed.
17. Kim H.W., Hwang K., Mu Q., Lee S.O., Choi M. Validation of MODIS 16 global terrestrial evapotranspiration products in various climates and land cover types in Asia. KSCE J. Civil Eng. 2012, 16(2):229-238.
18. Martano P. Evapotranspiration estimates over non-homogeneous Mediterranean Land cover by a calibrated critical resistance approach. Atmosphere 2015, 6:255-272.
19. Monteith J.L. Evaporation and the environment. The State and Movement of Water in Living Organisms, XIXth Symposium 1965, 205-234. Cambridge University Press Swansea,Wales, Cambridge, U.K.
20. Moriasi D.N., Arnold J.G., Van Liew M.W., Bingner R.L., Harmel R.D., Veith T.L. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans. ASABE 2007, 50(3):885-900.
21. Mu Q., Heinsch F., Zhao M., Running S. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sens. Environ. 2007, 111(4):519-536.
22. Mu Q., Zhao M., Running S.W. Improvements to a MODIS global terrestrial evapotranspiration algorithm. Remote Sens. Environ. 2011, 115(8):1781-1800.
23. Nash J.E., Sutcliffe J.V. River flow forecasting through conceptual models: Part 1. A discussion of principles. J. Hydrol. 1970, 10(3):282-290.
24. Norman J.M., Kustas W.P., Humes K.S. Source approach for estimating soil and vegetation energy fluxes from observations of directional radiometric surface temperature. Agric. For. Meteorol. 1995, 77:263-293. 10.1016/0168-1923(95)02265-Y.
25. Novák V. Evapotranspiration in the Soil-Plant-Atmosphere System 2012, Springer, Dordrecht/New York.
26. Orgaz F., Villalobos F.J., Testi L., Fereres E. A model of daily mean canopy conductance for calculating transpiration of olive canopies. Funct. Plant Biol. 2007, 34:178-188.
27. Provenzano G., Tarquis A.M., Rodriguez-Sinobas L. Soil and irrigation sustainability practices. Agric. Water Manage. 2013, 120:1-4.
28. Prueger J.H., Hatfield J.L., Kustas W.P., Hipps L.E., MacPherson J.I., Parkin T.B. Tower and aircraft eddy covariance measurements of water vapor: energy and carbon dioxide fluxes during SMACEX. J. Hydrometeorol. 2005, 6:954-960.
29. Rallo G., Agnese C., Minacapilli M., Provenzano G. Comparison of SWAP and FAO agro-hydrological models to schedule irrigation of wine grape. J. Irrig. Drain. 2012, 138(7):581-591. 10.1061/(ASCE) IR.1943-4774.0000435.
30. Ramoelo A., Majozi N., Mathieu R., Jovanovic N., Nickless A., Dzikiti S. Validation of global evapotranspiration product (MOD16) using flux tower data in the African savanna, South Africa. Remote Sens. 2014, 6(8):7406-7423.
31. Rana G., Katerji N., Mastrorilli M., El Moujabber M.A. Model for predicting actual evapotranspiration under water stress conditions in a Mediterranean region. Theor. Appl. Climatol. 1997, 56:45-55.
32. Ruhoff A.L., Paz A.R., Aragao L.E.O.C., Mu Q., Malhi Y., Collischonn W., Rocha H.R., Running S.W. Assessment of the MODIS global evapotranspiration algorithm using eddy covariance measurements and hydrological modelling in the Rio Grande basin. Hydrol. Sci. J. 2013, 58:1-19. 10.1080/02626667.2013.837578.
33. Schmugge T.J., Kustas W.P., Ritchie J.C., Jackson T.J., Rango A. Remote sensing in hydrology. Adv. Water Resour. 2002, 25:1367-1385.
34. Schultz G.A., Engman E.T. Remote Sensing in Hydrology and Water Management 2000, Springer-Verlag Inc., New York, USA.
35. Strahler, A.H., Muller, J.P., & Modis Sciences Team Members, 1999. MODIS BRDF albedo product. Algorithm theoretical basis document version 5.0, 53. NASA Document. http://modis.gsfc.nasa.gov/data/atbd/atbd_mod09.pdf.
36. Su Z. The surface energy balance system (SEBS) for estimation of turbulent heat fluxes. Hydrol. Earth Syst. Sci. 2002, 6(1):85-99. 10.5194/hess-6-85-2002.
37. Testi L., Orgaz F., Villalobos F. Variations in bulk canopy conductance of an irrigated olive (Olea europaeaOlea europaea L:) orchard. Environ. Exp. Bot. 2006, 55:15-28.
38. Todorovic M. Single-layer evapotranspiration model with variable canopy resistance. J. Irrig. Drain. Eng. 1999, 125(5):235-245. 10.1061/(ASCE)0733-9437.
39. Twine T.E., Kustas W.P., Norman J.M., Cook D.R., Houser P.R., Meyers T.P., Prueger J.H., Starks P.J., Wesely M.L. Correcting eddy-covariance flux underestimates over a grassland. Agric. For. Meteorol. 2000, 103(3):279-300.
40. Van Dam J.C., Huygen J., Wesseling J.G., Feddes R.A., Kabat P., van Walsum P.E.V., Groenendijk P., van Diepen C.A. Theory of SWAP version 2.0. Simulation of water flow, solute transport and plant growth in the Soil-Water-Atmosphere-Plant environment 1997, Wageningen University and Alterra, Technical Document, 45.
41. Wan, Z., 1999. MODIS Land-surface temperature algorithm theoretical basis document (LSTATBD) Version 3.3, April 1999 NASA document. http://modis.gsfc.nasa.gov/data/atbd/atbd_mod11.pdf.