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

Document Type : Research Article

Authors

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

Abstract

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.‎

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References

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Iranian journal of Ecohydrology
Volume 4, Issue 4
January 2018
Pages 1141-1150

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History

  • Receive Date: 12 April 2017
  • Revise Date: 30 May 2017
  • Accept Date: 20 June 2017
  • First Publish Date: 22 December 2017
  • Publish Date: 22 December 2017

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