Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/17052
Title: Land Use and Land Cover Change Detection in the Saudi Arabian Desert Cities of Makkah and Al-Taif Using Satellite Data
Contributor(s): Alqurashi, Abdullah (author); Kumar, Lalit  (author)orcid 
Publication Date: 2014
Open Access: Yes
DOI: 10.4236/ars.2014.33009Open Access Link
Handle Link: https://hdl.handle.net/1959.11/17052
Abstract: Land use/land cover (LULC) changes have become a central issue in current global change and sustainability research. Saudi Arabia has undergone significant change in land use and land cover since the government embarked on a course of intense national development 30 years ago, as a result of huge national oil revenues. This study evaluates LULC change in Makkah and Al-Taif, Saudi Arabia from 1986 to 2013 using Landsat images. Maximum likelihood and object-oriented classification were used to develop LULC maps. The change detection was executed using post-classification comparison and GIS. The results indicated that urban areas have increased over the period by approximately 174% in Makkah and 113% in Al-Taif. Analysis of vegetation cover over the study area showed a variable distribution from year to year due to changing average precipitation in this environment. Object-based classification provided slightly greater accuracy than maximum likelihood classification. Information provided by satellite remote sensing can play an important role in quantifying and understanding the relationship between population growth and LULC changes, which can assist future planning and potential environmental impacts of expanding urban areas.
Publication Type: Journal Article
Source of Publication: Advances in Remote Sensing, 3(3), p. 106-119
Publisher: Scientific Research Publishing, Inc
Place of Publication: United States of America
ISSN: 2169-2688
2169-267X
Fields of Research (FoR) 2008: 090903 Geospatial Information Systems
090905 Photogrammetry and Remote Sensing
050206 Environmental Monitoring
Fields of Research (FoR) 2020: 401302 Geospatial information systems and geospatial data modelling
401304 Photogrammetry and remote sensing
410599 Pollution and contamination not elsewhere classified
Socio-Economic Objective (SEO) 2008: 960511 Ecosystem Assessment and Management of Urban and Industrial Environments
960610 Urban Land Evaluation
960604 Environmental Management Systems
Socio-Economic Objective (SEO) 2020: 180601 Assessment and management of terrestrial ecosystems
180603 Evaluation, allocation, and impacts of land use
189999 Other environmental management not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Environmental and Rural Science

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