Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/19713
Title: Spatiotemporal patterns of urban change and associated environmental impacts in five Saudi Arabian cities: A case study using remote sensing data
Contributor(s): Alqurashi, Abdullah (author); Kumar, Lalit  (author)orcid 
Publication Date: 2016
DOI: 10.1016/j.habitatint.2016.10.001
Handle Link: https://hdl.handle.net/1959.11/19713
Abstract: Urban growth is a serious threat and challenge worldwide due to its role in altering ecosystem processes and contributing to negative environmental impacts. The natural environment of Saudi Arabia has been affected by the increased pace of urban and economic development, which has been supported by large oil revenues in recent years. Measuring the spatiotemporal patterns of urban growth is important to better understand the qualitative and quantitative impacts of urban spatial distribution over periods of time. Optical remote sensing can be a reliable data source that provides valuable information regarding the spatial and temporal distributions of urban growth. This research used two sets of Landsat images from 1985 and 2014 to map and monitor the spatial distribution of the urban extent among five Saudi Arabian cities: Riyadh, Jeddah, Makkah, Al-Taif and Eastern Area. A decision tree classifier was applied using object-based image analysis (OBIA) to analyze urban land cover in the five cities. The accuracy assessment of the urban change detection maps indicated a high overall accuracy and Kappa coefficient. The results of this research show a high rate of urbanization and complex dynamics across the five cites. The significant changes were the result of a rapid increase in land development, exhibiting complex patterns in the urbanization process across the five cities. The government's policy and increased oil revenues significantly contributed to increasing the urban cover in the five selected cities.
Publication Type: Journal Article
Source of Publication: Habitat International, v.58, p. 75-88
Publisher: Pergamon Press
Place of Publication: Oxford, United Kingdom
ISSN: 1873-5428
0197-3975
Field of Research (FOR): 120504 Land Use and Environmental Planning
090905 Photogrammetry and Remote Sensing
090903 Geospatial Information Systems
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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Appears in Collections:Journal Article
School of Environmental and Rural Science

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