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Title: Investigating the Use of Remote Sensing and GIS Techniques to Detect Land Use and Land Cover Change: A Review
Contributor(s): Alqurashi, Abdullah (author); Kumar, Lalit  (author)orcid 
Publication Date: 2013
Open Access: Yes
DOI: 10.4236/ars.2013.22022
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Abstract: The accuracy of change detection on the earth's surface is important for understanding the relationships and interactions between human and natural phenomena. Remote Sensing and Geographic Information Systems (GIS) have the potential to provide accurate information regarding land use and land cover changes. In this paper, we investigate the major techniques that are utilized to detect land use and land cover changes. Eleven change detection techniques are reviewed. An analysis of the related literature shows that the most used techniques are post-classification comparison and principle component analysis. Post-classification comparison can minimize the impacts of atmospheric and sensor differences between two dates. Image differencing and image ratioing are easy to implement, but at times they do not provide accurate results. Hybrid change detection is a useful technique that makes full use of the benefits of many techniques, but it is complex and depends on the characteristics of the other techniques such as supervised and unsupervised classifications. Change vector analysis is complicated to implement, but it is useful for providing the direction and magnitude of change. Recently, artificial neural networks, chi-square, decision tree and image fusion have been frequently used in change detection. Research on integrating remote sensing data and GIS into change detection has also increased.
Publication Type: Journal Article
Source of Publication: Advances in Remote Sensing, v.2, p. 193-204
Publisher: Scientific Research Publishing
Place of Publication: United States of America
ISSN: 2169-2688
Field of Research (FOR): 090905 Photogrammetry and Remote Sensing
Socio-Economic Outcome Codes: 960510 Ecosystem Assessment and Management of Sparseland, Permanent Grassland and Arid Zone Environments
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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