doi: 10.18178/ijesd.2023.14.6.1456
Desertification Susceptibility Assessment Using Expert-Based Approach in Al-Khidhir District, Southern Iraq
- 1Department of Civil Engineering, Faculty of Engineering, Universiti Putra Malaysia
- 2Department of Civil Engineering and Geospatial Information Science Research Centre
- 3Department of Forestry Science and Biodiversity, Faculty of Forestry Universiti Putra Malaysia, Puchong Selangor, Malaysia
- Manuscript receivedJune 28, 2023
- revisedJuly 31, 2023
- acceptedAugust 16, 2023
Abstract
Desertification is a serious threat to environment,agriculture, and public health all over the world. Iraq isconcerned about desertification, particularly in the southernregions. As a result, this project will use geospatialmethodologies to measure desertification susceptibility inAl-Khidhir, Al-Muthanna. The assessment was based onLandsat 5 TM data from 1998, Landsat 7 ETM+ data from 2008,and Landsat 8 OLI data from 2018. A MulticriteriaDecision-Making (MCDM) technique based on the AnalyticHierarchy Process (AHP) was developed to assess the spatialdistribution of desertification in the research area and thelikelihood that it will occur soon. An examination of thegeographical distribution of desertification in Al-Khidhir in1998 indicated that desertification was most prevalent in thesouthern region, accounting for 25.9% of the total.Desertification spread to neighboring areas and increased(50.8%) in the research region’s north in 2008. The findingssuggested that using satellite photos, such as Landsat, can beextremely effective for assessing desertification.
Keywords
- Desertification susceptibility
- convolutional neural network
- analytic hierarchy process
- Al-Khidhir district
How to Cite
Yasir Abdulameer Nayyef Aldabbagh, Helmi Zulhaidi Mohd Shafri, Shattri Mansor, and Mohd Hasmadi Ismail, "Desertification Susceptibility Assessment Using Expert-Based Approach in Al-Khidhir District, Southern Iraq," International Journal of Environmental Science and Development, vol. 14, no. 6, pp. 364-372, 2023. https://doi.org/10.18178/ijesd.2023.14.6.1456
Copyright & License
Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).