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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Natural Environment</JournalTitle>
				<Issn>2008-7764</Issn>
				<Volume>75</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>06</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Satellite monitoring of temporal-spatial changes in land surface temperature In south Khorasan province</ArticleTitle>
<VernacularTitle>Satellite monitoring of temporal-spatial changes in land surface temperature In south Khorasan province</VernacularTitle>
			<FirstPage>348</FirstPage>
			<LastPage>361</LastPage>
			<ELocationID EIdType="pii">87507</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jne.2022.332415.2314</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Sayyed Mohammad</FirstName>
					<LastName>Hosseini</LastName>
<Affiliation>Department of Climatology, Faculty of Literature and Humanities, Sayyed Jamaleddin Asadabadi University, Asadabad, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Alireza</FirstName>
					<LastName>Khandanro</LastName>
<Affiliation>South Khorasan Province Meteorological Organization, Birjand, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad Reza</FirstName>
					<LastName>Tahan</LastName>
<Affiliation>South Khorasan Province Meteorological Organization, Birjand, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2021</Year>
					<Month>10</Month>
					<Day>16</Day>
				</PubDate>
			</History>
		<Abstract>Land surface temperature is a function of net energy at the surface, which depends on the amount of energy reached to the surface, emissions, humidity, atmospheric airflow, topography and climatic conditions of the region. Calculate high accuracy over a wide range. Today, using satellite - remote sensing, can monitor the land surface temperature of the earth, which is one of the important parameters in determining the energy balance of the earth in biological, climatic, hydrological and biological researches. In this paper, to achieve this goal, the daily data of Terra satellite MODIS sensor used to analyze the long-term mean of the monthly period and land surface temperature trend in South Khorasan. The period of these data is daily and includes from 2002 to 2019 equal to 6449 solar days. The spatial separation of the pixel is 1 * 1 km in the sinusoidal networking system, for which 174015 spatial pixel have been extracted in the South Khorasan. Spatial zonation of land surface temperature showed that the surface temperature in this area tends to cluster and implant. During the year, gravity and increasing temperature in the southern, southwestern and western parts of the province, has a high adaptation to low-lying areas in the neighborhood of Dasht-e Kavir and Dasht-e Lut. In addition, the analysis of the surface temperature trend in this province shows that, 1.5% of the province is located in the territory of increasing temperature trend and in the northern and northwestern parts of the province in the strip with Semnan, Isfahan and in the neighborhood of the Dasht-e Kavir and Dasht-e Lut. Less than one percent of the area of ​​the province has a decreasing trend in temperature that observed in most parts of the province, especially in high and mountainous areas. It seems that summer and winter are getting warmer in this province, which should not be overlooked the dynamic role of topography of the region, proximity to large deserts and deserts of Iran, reduced vegetation in the province and maximum absorption of solar radiation temperature in surface temperature changes.</Abstract>
			<OtherAbstract Language="FA">Land surface temperature is a function of net energy at the surface, which depends on the amount of energy reached to the surface, emissions, humidity, atmospheric airflow, topography and climatic conditions of the region. Calculate high accuracy over a wide range. Today, using satellite - remote sensing, can monitor the land surface temperature of the earth, which is one of the important parameters in determining the energy balance of the earth in biological, climatic, hydrological and biological researches. In this paper, to achieve this goal, the daily data of Terra satellite MODIS sensor used to analyze the long-term mean of the monthly period and land surface temperature trend in South Khorasan. The period of these data is daily and includes from 2002 to 2019 equal to 6449 solar days. The spatial separation of the pixel is 1 * 1 km in the sinusoidal networking system, for which 174015 spatial pixel have been extracted in the South Khorasan. Spatial zonation of land surface temperature showed that the surface temperature in this area tends to cluster and implant. During the year, gravity and increasing temperature in the southern, southwestern and western parts of the province, has a high adaptation to low-lying areas in the neighborhood of Dasht-e Kavir and Dasht-e Lut. In addition, the analysis of the surface temperature trend in this province shows that, 1.5% of the province is located in the territory of increasing temperature trend and in the northern and northwestern parts of the province in the strip with Semnan, Isfahan and in the neighborhood of the Dasht-e Kavir and Dasht-e Lut. Less than one percent of the area of ​​the province has a decreasing trend in temperature that observed in most parts of the province, especially in high and mountainous areas. It seems that summer and winter are getting warmer in this province, which should not be overlooked the dynamic role of topography of the region, proximity to large deserts and deserts of Iran, reduced vegetation in the province and maximum absorption of solar radiation temperature in surface temperature changes.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Land surface temperature</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Modis Terra Satellite</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Temporal-Spatial Changes</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Trend Analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">South Khorasan</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jne.ut.ac.ir/article_87507_59b4f31e0051610fa304e02dd5c6e5e2.pdf</ArchiveCopySource>
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