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Civil-Comp Conferences
ISSN 2753-3239
CCC: 6
PROCEEDINGS OF THE SEVENTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING
Edited by: P. Ivanyi, J. Kruis and B.H.V. Topping
Paper 15.3

The Use and Application of GIS and Remote Sensing Techniques for Monitoring Urban Growth in Koya City, Iraq-Kurdistan Region

Z.F. Ali1, Y. Abduljaleel2, G. Pirisi3, A. Salem1,4, M. Amiri5 and A. Awad6

1Doctoral School of Earth Sciences, University of Pécs, Hungary
2Department of Civil and Environmental Engineering, Washington State University, USA
3Institute of Geography and Earth Sciences, University of Pécs, Hungary
4Civil Engineering Department, Faculty of Engineering and Information Technology, University of Pécs, Hungary
5Geomatics and Soil Management Laboratory, Faculty of Arts and Humanities, Université Mohammed Premier Oujda, Morocco
5Ministry of Water Resources and Irrigation, Giza, Egypt

Full Bibliographic Reference for this paper
Z.F. Ali, Y. Abduljaleel, G. Pirisi, A. Salem, M. Amiri, A. Awad, "The Use and Application of GIS and Remote Sensing Techniques for Monitoring Urban Growth in Koya City, Iraq-Kurdistan Region", in P. Ivanyi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Seventeenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 6, Paper 15.3, 2023, doi:10.4203/ccc.6.15.3
Keywords: urbanization, remote sensing, geographic information system, land-use changes, land-cover changes, Iraqi Kurdistan region.

Abstract
Nowadays, rapid urban growth and urbanization is continuing to be one of the most important problems of global change, especially in developing countries. This process is most visible and powerful and has a key role in urban land-use and land-cover changes and landscape pattern changes around the world. Remote sensing and geographic information system are a reliable source to understand and quantify urban expansion. This study uses Landsat 5 TM imagery associated with GIS techniques to monitor urban growth in Koya city in the North Iraqi Kurdistan region between 1990, 2000, and 2010. The ERDAS 9.2 imagine software was applied to measure and display land use classes changing utilizing supervised classification of maximum likelihood. The outcomes demonstrate that the land-cover classes faced great changes between 1990 and 2010. For instance, the built-up area increased dramatically from 279.9 hectares in 1990 to 992.79 hectares in 2010; whereas the rate of vegetation cover decreased dramatically from 2,199.87 hectares to 576.09 hectares in 2010. This was due to environmental change and socio-economic and political factors. Total accuracy assessments of all images show that the image classification process was very accurate, with overall accuracy greater than 95%.

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