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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) | 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: | Elsevier Ltd | Place of Publication: | United Kingdom | ISSN: | 1873-5428 0197-3975 |
Fields of Research (FoR) 2008: | 120504 Land Use and Environmental Planning 090905 Photogrammetry and Remote Sensing 090903 Geospatial Information Systems |
Fields of Research (FoR) 2020: | 330404 Land use and environmental planning 401304 Photogrammetry and remote sensing 401302 Geospatial information systems and geospatial data modelling |
Socio-Economic Objective (SEO) 2008: | 960610 Urban Land Evaluation 870105 Urban Planning 960511 Ecosystem Assessment and Management of Urban and Industrial Environments |
Socio-Economic Objective (SEO) 2020: | 180603 Evaluation, allocation, and impacts of land use 120406 Urban planning 180601 Assessment and management of terrestrial ecosystems |
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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