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Land transformation assessment using the integration of remote sensing and GIS techniques: a case study of Al-Anbar Province, Iraq


Citation

Jasim, Mohammed A. and Mohd Shafri, Helmi Zulhaidi and Hamedianfar, Alireza and Sameen, Maher Ibrahim (2016) Land transformation assessment using the integration of remote sensing and GIS techniques: a case study of Al-Anbar Province, Iraq. Arabian Journal of Geosciences, 9 (667). pp. 1-16. ISSN 1866-7511; ESSN: 1866-7538

Abstract

Human activities and climate changes significantly affect our environment, altering hydrologic cycles. Several environmental, social, political, and economical factors contribute to land transformation as well as environmental changes. This study first identified the most critical factors that affect the environment in Al-Anbar city including population growth, urbanization expansion, bare land expansion, and reduction in vegetation cover. The combination of remote sensing data and fuzzy analytic hierarch process (Fuzzy AHP) enabled exploration of land transformations and environmental changes in the study area during 2001 to 2013 in terms of long and short-term changes. Results of land transformation showed that the major changes in water bodies increased radically (94 %) from the long-term change in 2001 to 2013 because of water policies. In addition, the urban class expanded in two short-term periods (2001–2007 and 2007–2013), representing net changes of 46 and 60 %, respectively. Finally, barren land showed 25 % reduction in the first period because of the huge expansion of water in the lake; a small percentage of growth gain was observed in the second period. Based on the land transformation results, the environmental degradation assessment showed that the study area generally had high level of environmental degradation. The degradation was mostly in the center and the north part of the study area. This study suggested for further studies to include other factors that also responsible for environmental degradation such as water quality and desertification threatening.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1007/s12517-016-2697-y
Publisher: Springer Verlag
Keywords: GIS modeling; Fuzzy AHP; Land transformation; Environmental degradation; EDI
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 19 Apr 2018 03:20
Last Modified: 19 Apr 2018 03:20
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/s12517-016-2697-y
URI: http://psasir.upm.edu.my/id/eprint/54688
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