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<Article>
<Journal>
				<PublisherName>National Geographical Organization</PublisherName>
				<JournalTitle>Scientific- Research Quarterly of Geographical Data (SEPEHR)</JournalTitle>
				<Issn>2588-3860</Issn>
				<Volume>18</Volume>
				<Issue>72</Issue>
				<PubDate PubStatus="epublish">
					<Year>2010</Year>
					<Month>01</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Remote Sensing and the Environmental Quality of City</ArticleTitle>
<VernacularTitle>Remote Sensing and the Environmental Quality of City</VernacularTitle>
			<FirstPage>2</FirstPage>
			<LastPage>10</LastPage>
			<ELocationID EIdType="pii">26907</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Mahdi</FirstName>
					<LastName>Modiri</LastName>
<Affiliation>Associate Professor of Urban planning, Malek-Ashtar University of Technolog</Affiliation>
<Identifier Source="ORCID">0000-0003-2739-9421</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2009</Year>
					<Month>08</Month>
					<Day>19</Day>
				</PubDate>
			</History>
		<Abstract>The environmental data of remote sensing is the basis of the preparation of maps and information with appropriate quality for the assessment of the change and evolution of the urban dynamic environment, which provides awareness of changes of details in relation to the characteristics of the studied area and effective parameters. The methods of combining the multiple parameters with other factors into one index have been studied, but due to the lack of criteria for precise evaluation, only general conclusions can be made. However, the large and significant correlation obtained from Combined GIS Method and Principal Component Analysis (PCA) indicate the compatibility between these two methods.</Abstract>
			<OtherAbstract Language="FA">The environmental data of remote sensing is the basis of the preparation of maps and information with appropriate quality for the assessment of the change and evolution of the urban dynamic environment, which provides awareness of changes of details in relation to the characteristics of the studied area and effective parameters. The methods of combining the multiple parameters with other factors into one index have been studied, but due to the lack of criteria for precise evaluation, only general conclusions can be made. However, the large and significant correlation obtained from Combined GIS Method and Principal Component Analysis (PCA) indicate the compatibility between these two methods.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">database</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Data Integration</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">method of analyzing the main components and the GIS combination method</Param>
			</Object>
		</ObjectList>
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