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<Article>
<Journal>
				<PublisherName>University of Isfahan</PublisherName>
				<JournalTitle>Geography and Environmental Planning</JournalTitle>
				<Issn>2008-5362</Issn>
				<Volume>30</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2019</Year>
					<Month>11</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Monitoring Coastline Changes using Remote Sensing
(Case Study: Kish Coastline)</ArticleTitle>
<VernacularTitle>Monitoring Coastline Changes using Remote Sensing
(Case Study: Kish Coastline)</VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>16</LastPage>
			<ELocationID EIdType="pii">24101</ELocationID>
			
<ELocationID EIdType="doi">10.22108/gep.2019.118211.1177</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Ali Asghar</FirstName>
					<LastName>Abdollahi</LastName>
<Affiliation>Assistant Professor of Geography and Urban Planning Faculty, Shahid Bahonar University of Kerman, Kerman, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mohsen</FirstName>
					<LastName>Pourkhosravani</LastName>
<Affiliation>Assistant Professor of Geography and Urban Planning Faculty, Shahid Bahonar University of Kerman, Kerman, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Fatemeh</FirstName>
					<LastName>Afsari</LastName>
<Affiliation>Assistant Professor of Geography and Urban Planning Faculty, Shahid Bahonar University of Kerman, Kerman, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Fatemeh</FirstName>
					<LastName>Madadizadeh</LastName>
<Affiliation>M.A., Geography and Urban Planning Student, Shahid Bahonar University of Kerman, Kerman, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>07</Month>
					<Day>22</Day>
				</PubDate>
			</History>
		<Abstract>Forecasting land use changes is an important step in the proper planning and optimal management of human settlements, especially in land use management. Therefore, there are various methods for modeling and forecasting land use changes that, with the knowledge of them, we can predict future changes and implement appropriate planning. Kish Island has undergone many changes in recent decades including population growth, major physical changes and expansion of communication network which have had consequences such as damage and destruction of natural resources and the elimination of these cases has significant costs for the region. Therefore, the management and forecasting of changes in this area seems necessary. The present study aimed to forecast land use changes using satellite imagery over the period of 1992-2018 for the next ten years. ENVI 5.3 and Terrset software, and CA MARKOV model were used to analyze land use and forecast changes. The results of the forecast maps of the year 2028 showed that 2851 hectares would be for the area of the built-up classes, 6164 hectares for wastelands, 1259 hectares for vegetation areas, and 8403 hectares for water bodies. Comparison of these values with the calculated area in the base year 2018 showed that the areas of vegetation and water bodies decreased by 18 and 57 hectares, respectively. And the areas of built-up classes and wastelands increased by 7 and 69 hectares, respectively.</Abstract>
			<OtherAbstract Language="FA">Forecasting land use changes is an important step in the proper planning and optimal management of human settlements, especially in land use management. Therefore, there are various methods for modeling and forecasting land use changes that, with the knowledge of them, we can predict future changes and implement appropriate planning. Kish Island has undergone many changes in recent decades including population growth, major physical changes and expansion of communication network which have had consequences such as damage and destruction of natural resources and the elimination of these cases has significant costs for the region. Therefore, the management and forecasting of changes in this area seems necessary. The present study aimed to forecast land use changes using satellite imagery over the period of 1992-2018 for the next ten years. ENVI 5.3 and Terrset software, and CA MARKOV model were used to analyze land use and forecast changes. The results of the forecast maps of the year 2028 showed that 2851 hectares would be for the area of the built-up classes, 6164 hectares for wastelands, 1259 hectares for vegetation areas, and 8403 hectares for water bodies. Comparison of these values with the calculated area in the base year 2018 showed that the areas of vegetation and water bodies decreased by 18 and 57 hectares, respectively. And the areas of built-up classes and wastelands increased by 7 and 69 hectares, respectively.</OtherAbstract>
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			<Param Name="value">Land Use</Param>
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			<Object Type="keyword">
			<Param Name="value">Predicting Changes</Param>
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			<Object Type="keyword">
			<Param Name="value">Markov chain</Param>
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			<Object Type="keyword">
			<Param Name="value">kish coastline</Param>
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<ArchiveCopySource DocType="pdf">https://gep.ui.ac.ir/article_24101_5551f5996c1561afc68e9e20764063d3.pdf</ArchiveCopySource>
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