Work

Estimation of evapotranspiration based on METRIC and SEBAL model using remote sensing, near Al-Jouf, Saudi Arabia

Year: 2023

Type: article

Abstract: The current study focuses on estimating evapotranspiration in arid and semi-arid environments in the Northern part of Saudi Arabia near Al-Jouf. The objective of the research is to study, analyze and estimate evapotranspiration (ET) using the surface energy balance algorithm for land (SEBAL) and mapping evapotranspiration at high resolution with internalized calibration (METRIC) model and compare the two models with vegetation index and land surface temperature. The image was processed in ArcGIS and MATLAB software with the toolbox LandMOD ET mapper. The area average evapotranspiration is about 2.21 mm/d for the METRIC model, 2.6 mm/d for SEBAL and the average land surface temperature is 324.3 K. ET and land surface temperature are highly inverse correlated, with an R 2 = 0.8. The value of ET ranges from 0.05 to 8 mm for both SEBAL and METRIC models during 2019/07/07. Both highly elevated and agricultural area shows a high value of ET ranging from 5 to 8 mm/d. In addition, the normalized differential vegetation index, leaf area index, and emissivity were also calculated from the surface energy balance equation. The estimation of ET from the SEBAL model is better than the METRIC model based on R 2 of different vegetation indices. The importance of the work is to estimate ET and explain the impact on environmental effects for better planning in water resource development.

Source: Desalination and Water Treatment

DOI: 10.5004/dwt.2023.29478

Authors: Esubalew Adem, Silvena Boteva, Lifu Zhang, Mohamed Elhag