UPM Institutional Repository

Evaluation of SEBAL moldel for Evapotranspiration mapping in Iraq using remote sensing and GlS


Citation

Jaber, Hussein Sabah and Mansor, Shattri and Pradhan, Biswajeet and Ahmad, Noordin (2016) Evaluation of SEBAL moldel for Evapotranspiration mapping in Iraq using remote sensing and GlS. International Journal of Applied Engineering Research, 11 (6). pp. 3950-3955. ISSN 0973-4562; ESSN: 1087-1090

Abstract

Evapotranspiration is one of the major parameter in the hydrologic cycle. Standard measurements of this parameter is quite complex due to various factors such as variation of precipitation amount, spatial variation by latitude and longitude and changes in environment and specific site conditions. Although of this complexity, various methods were developed to estimate actual and potential Evapotranspiration such as Surface Energy Balance Algorithm for Land (SEBAL) method. SEBAL model calculates heat latent flux mostly from remotely sensed data. This paper aims to evaluate the SEBAL model for actual Evapotranspirationestimation in Al-babil city in Iraq usinga SEBAL toolbox developed for ArcGIS software. The toolbox was evaluated with two reference actual Evapotranspiration datasets from Al-babil metrological stations. Overall accuracy of (푅2=0.86 ) for the first dataset on March and (푅2=0.85) for the second dataset on September were achieved. The result of this research indicates that the SEBAL model is effective for estimating actual Evapotranspiration in the studied area.


Download File

[img]
Preview
Text
Evaluation of SEBAL moldel for Evapotranspiration mapping in Iraq using remote sensing and GlS.pdf

Download (13kB) | Preview

Additional Metadata

Item Type: Article
Subject: Actual Evapotranspiration; GIS; Remote sensing; SEBAL
Divisions: Faculty of Engineering
Publisher: Research India Publications
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 08 Mar 2018 00:48
Last Modified: 08 Mar 2018 00:48
URI: http://psasir.upm.edu.my/id/eprint/54217
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item