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<Article>
<Journal>
				<PublisherName>Gorgan University of Agricultural Sciences and Natural Resources</PublisherName>
				<JournalTitle>Environmental Resources Research</JournalTitle>
				<Issn>2783-4832</Issn>
				<Volume>7</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2019</Year>
					<Month>07</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A study of the effect of changes in the area of Maharlu lake on climatic parameters of Shiraz and on land surface temperature of its surrounding areas</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>67</FirstPage>
			<LastPage>78</LastPage>
			<ELocationID EIdType="pii">4645</ELocationID>
			
<ELocationID EIdType="doi">10.22069/ijerr.2019.15120.1240</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mehran</FirstName>
					<LastName>Fatemi</LastName>
<Affiliation>meybod univesity</Affiliation>

</Author>
<Author>
					<FirstName>Mahdi</FirstName>
					<LastName>Narangifard</LastName>
<Affiliation>yazduniversity</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2018</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</History>
		<Abstract>Remote sensing is increasingly used in studies of periodic changes of land use and land&lt;br /&gt;surface temperature (LST) calculations. In this paper, the effect of change in the area of&lt;br /&gt;Maharlu Lake on climatic elements, land surface temperature and vegetation cover in the&lt;br /&gt;areas surrounding the lake were studied. To this end, the ETM + &amp; TM sensor data of&lt;br /&gt;LANDSAT satellite on May 22, 1987, May 17, 2000, March 20, 1999 and March 18, 2009&lt;br /&gt;were used. The findings suggested that the average percentage of vegetation index in the&lt;br /&gt;10-km buffer of the lake in 1987 (wet year) compared to 2000 (dry year) had dropped by&lt;br /&gt;15% in the same month. In March 1999 and 2009, however, only a 3 percent decline was&lt;br /&gt;recorded. The minimum, average and maximum LST in the periphery of the lake registered&lt;br /&gt;an increase on the same dates during the wet period, but the temperature pattern was&lt;br /&gt;identical in both periods. Most climatic elements increased in dry years compared to that of&lt;br /&gt;the wet years. Also, comparing the statistical features of climatic elements in synoptic&lt;br /&gt;stations of Shiraz at the time of capturing images and for the long-term average (1956-&lt;br /&gt;2012) suggested a relatively lower increase in temperature during wet years compared to&lt;br /&gt;the average long-term period. In most of the years when the precipitation was below&lt;br /&gt;average (300 mm), the lake dried in May. In contrast, in years when the precipitation was&lt;br /&gt;more than 400 mm, the lake received abundant rainfall in all months. The heavy&lt;br /&gt;dependence of the lake on rainfall, the small size of the catchment and the seasonality of&lt;br /&gt;rivers flowing into the lake make conditions extremely sensitive, critical and rainfalldependent</Abstract>
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			<Object Type="keyword">
			<Param Name="value">Remote sensing</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Satellite data</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">LST</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">NDVI</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Maharlu Lake Shiraz</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijerr.gau.ac.ir/article_4645_baf70470e207198cafa679e93ba1b08d.pdf</ArchiveCopySource>
</Article>
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