A comparison of actual evapotranspiration estimates based on Remote Sensing approaches with a classical climate data driven method

  • Soghra Tofigh University of Isfahan, Faculty of Geographical and planning, Iran
  • Dariush Rahimi University of Isfahan, Faculty of Geographical and planning, Iran
  • Reza Zakerinejad University of Isfahan, Faculty of Geographical and planning, Iran
Keywords: actual evapotranspiration; SEBAL algorithm; Landsat; MODIS; Penman-Montith; Wheat; lysimete

Abstract

The knowledge of actual evapotranspiration at farm level is a prerequisite for irrigation planning, farm management, to increase production and reduce water consumption. To accomplish this, comprehensive and accurate assessment methods should be applied. In order to evaluate accurately evapotranspiration processes we compared lysimeter evapotranspiration data with MODIS (Aqua and Terra satellites) and LANDSAT (SEBAL algorithm) satellite images as well as with the FAO Penman-Montith method. The findings indicate the low error rate, high correlation (1) and appropriateness of SEBAL in estimating actual evapotranspiration. The error values MAD, MSE and RMSE between lysimeter and the SEBAL algorithm were 0.59, 0.36 and 0.60 respectively. The second best performance was established for the FAO Penman-Montith method. The obtained error values MAD, MSE and RMSE between the lysimeter and FAO-Penman-Montith method are 0.91, 1.29 and 1.13, respectively.

Published
2020-09-18
How to Cite
Tofigh, S., Rahimi, D., & Zakerinejad, R. (2020). A comparison of actual evapotranspiration estimates based on Remote Sensing approaches with a classical climate data driven method. AUC Geographica. https://doi.org/10.14712/23361980.2020.12
Section
Original Articles