Evaluating SEBES Model to Estimate Actual Evapotranspiration using ‎MODIS Sensor Data in Regional Scale (Case Study: Sistan Plain)‎

Document Type : Research Article


1 MS.c Student of Department of Water Engineering, Faculty of Water & soil Eng., University of Zabol, Iran

2 Assistant Professor of Water Engineering, Department of Water Engineering, faculty of Soil & Water, University of Zabol

3 MSc in Water Resources Engineering, former student of Department of Water Engineering, Faculty of Water & soil Eng., University of Zabol, Iran


Obviously, in any planning for qualitative and quantitative management of water resources, ‎estimating the water balance and values of the input and output components that will play an ‎important role. Several studies in the field of evapotranspiration most complex component of ‎the water balance in the world and many models offered and developed‏.‏‎ Remote Sensing due to ‎the superiority of meteorological methods based on measuring point and water balance is more ‎in the works. In this study, performance of Surface Energy Balance (SEBS) model to estimate ‎actual evapotranspiration in Sistan plain is studied. For this purpose data from Zehak ‎meteorological stations and the technology of remote sensing and MODIS sensor images used. ‎Surface flux of energy balance is calculated for each image pixel and actual evapotranspiration ‎were estimated by the remaining amount of the energy balance at the level. The results were ‎compared with results of two point ground-based data consist of the hay grown on the sidelines ‎of Zahak synoptic station and water level of reservoir of Chahnime1. Model showed good ‎performance for both land and water based on correlation coefficient value with 0.78 and 0.89 ‎respectively.‎


Main Subjects

1-      Brutsaert W. Hydrology: an introduction: Cambridge University Press.2005.
2-      Sun Z, Wei B, Su W, Shen W, Wang C, You D, Liu Z. Evapotranspiration estimation based on the SEBAL model in the Nansi Lake Wetland of China. Mathematical and Computer Modelling.2011. 54(3): 1086-1092.
3-      Liu S, Sun R, Sun Z, Li X, Liu C. Evaluation of three complementary relationship approaches for evapotranspiration over the Yellow River basin. Hydrological processes, 2006.20(11): 2347-2361.
4-      McCabe M.F, Wood E.F. Scale influences on the remote estimation of evapotranspiration using multiple satellite sensors. Remote Sensing of Environment, 2006. 105(4): 271-285.
5-      Brunsell N.A. 2011. Characterizing the multi–scale spatial structure of remotely sensed evapotranspiration with information theory.
6-      Batra N, Islam S, Venturini V, Bisht, G Jiang, L. Estimation and comparison of evapotranspiration from MODIS and AVHRR sensors for clear sky days over the Southern Great Plains. Remote Sensing of Environment. 2006. 103(1): 1-15.
7-      Kustas WP, Choudhury BJ, Moran MS, Reginato RJ, Jackson RD, Gay LW, Weaver, H.L. Determination of sensible heat flux over sparse canopy using thermal infrared data. Agricultural and Forest Meteorology. 1989. 44(3): 197-216.
8-      Su ZB. 2002. A Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes from point to continental scale. Paper presented at the Spectra Workshop.
9-        Bastiaanssen W, Pelgrum H, Wang J, Ma Y, Moreno J, Roerink G,Van der Wal T. A remote sensing surface energy balance algorithm for land (SEBAL).: Part 2: Validation. Journal of hydrology. 1998. 212: 213-229.
10-    Allen RG, Tasumi M, Trezza R. Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)—Model. Journal of irrigation and drainage engineering, 2007.133(4): 380-394.
11-  Tasumi M, Allen RG. Satellite-based ET mapping to assess variation in ET with timing of crop development. Agricultural Water Management. 2007.88(1): 54-62.
12-  Van der Kwast J, Timmermans W, Gieske A, Su Z, Olioso A, Jia L, Elbers J, Karssenberg D, De Jong S, de Jong S. Evaluation of the Surface Energy Balance System (SEBS) applied to ASTER imagery with flux-measurements at the SPARC 2004 site (Barrax, Spain). Hydrology and Earth System Sciences Discussions.2009. 6(1): 1165-1196.
13-  Evans R, Hulbert S, Murrihy E, Bastiaanssen, W Molloy R. Using satellite imagery to measure evaporation from storages–solving the great unknown in water accounting. Paper presented at the Irrigation and Drainage Conference 2009.
14-  Jin X, Wan L, Su Z. Research on evaporation of Taiyuan basin area by using remote sensing. Hydrology and Earth System Sciences Discussions. 2005. 2(1): 209-227.
15-  Jia L, Xi G, Liu S, Huang C, Yan Y, Liu G. Regional estimation of daily to annual regional evapotranspiration with MODIS data in the Yellow River Delta wetland. Hydrology and earth system sciences. 2009. 13(10): 1775-1787.
16-  Muthuwatta LP, Bos M, Rientjes T. Assessment of water availability and consumption in the Karkheh River Basin, Iran—using remote sensing and geo-statistics. Water Resources Management. 2010. 24(3): 459-484.
17-  Elhag M, Psilovikos A, Manakos I, Perakis K. Application of the SEBS water balance model in estimating daily evapotranspiration and evaporative fraction from remote sensing data over the Nile Delta. Water Resources Management. 2011. 25(11): 2731-2742.
18-  Akbarzadeh H, Haghighatgo P, Bagheri M.H. Estimates of Evaporation from Surface Water Bodies with SEBAL Algorithm using Remote Sensing Techniques (Case Study: Chahnimeh’s Fresh Water Reservoirs of Sistan). Iranian Journal of Irrigation and Drainage. 2015. 3( 9): 511-522.
19-  Noroozi AA, Jalali N, Miri M, Abbasi M. Estimating rice leaf area index at North Iran. Journal of water and Soil Resources Conservation. 2012. 3(2): 29-40.
20-  Monteith JL. Principles of environmental physics. Edward Arnold Press. Fourth Edition, 2014. 403 pp.
21-  Timmermans WJ, Kustas WP, Anderson, MC, French AN. An intercomparison of the surface energy balance algorithm for land (SEBAL) and the two-source energy balance (TSEB) modeling schemes. Remote Sensing of Environment. 2007. 108(4): 369-384.