Zainab Fakhri Merzah¹, Sokina Fakhry² and Hussein Sabah Jaber³*

¹Institute of Laser for Postgraduate Studies, University of Baghdad, Baghdad, Iraq
²Al Furat Intermediate School for Girls, Ministry of Education, Babylon, Iraq
³Assistant Professor, Department of Surveying Engineering, University of Baghdad, Iraq

*Corresponding Author: Hussein Sabah Jaber, Assistant Professor, Department of Surveying Engineering, University of Baghdad, Iraq.

Received: April 11, 2022; Published: June 20, 2022

Abstract

Irrigation has the largest share of water exploitation. Therefore, it is vital to access the irrigation performance in any region of the world. Furthermore, estimation of the evapotranspiration and evaluation of the Irrigation performance by using the traditional methods represented by the field measurements is very difficult. The integrated monitoring, diagnosing and assessment of the irrigation systems required the use of effective tools that enable the decision makers to study large area and analyses large number of the variables that concerns the processes of monitoring and assessment.

The remote sensing and GIS techniques are considered as an efficient technique that can be used for achieving such works. This paper reviews main topics directly related to diagnose irrigation water resources in Iraq using remote sensing and GIS techniques. It reviews and discusses the previous studies on diagnosing water resources using remote sensing and GIS. Also, it presents and synthesizes the methods and approaches used for estimation of evapotranspiration (ET) from remote sensing data and identifies the advantages and disadvantages of the previous studies on the evaluation of performance of irrigation systems. More ever, it reviews the important studies on rainfall-runoff modelling using GIS technique.

Keywords:Remote Sensing; GIS; Irrigation Performance; SEBAL; Evapotranspiration

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Citation

Citation: Hussein Sabah Jaber., et al. “Utilization of Remote Sensing and GIS Techniques for Diagnosing Irrigation Water Resources: A Review". Acta Scientific Agriculture 6.7 (2022): 44-55.

Copyright

Copyright: © 2022 Hussein Sabah Jaber., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.