2009Anhui nongye kexueRequires access

Analysis on Spatial and Temporal Variation of the Urban Heat Island Effect Based on Remote Sensing in Nanjing City

Zhao Xiao-yan

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Abstract

Land surface temperature(LST) was retrieved in Nanjing city by using the inversion algorithm based on image,the spatial and temporal variation of the urban heat island effect was analyzed.The results showed that: ①there was obvious heat island effect in Nanjing city,heat island intensity was 1~3 level higher in urban as compared to suburbs;② the area of urban heat island increased obviously in Nanjing since 1988,and emerged trend of expansion to the south;③ on spaces,there was uneven distribution of heat island intensity,new urban became new center of the strong heat island.

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What this paper is about

Land surface temperature(LST) was retrieved in Nanjing city by using the inversion algorithm based on image,the spatial and temporal variation of the urban heat island effect was analyzed.The results showed that: ①there was obvious heat island effect in Nanjing city,heat island intensity was 1~3 level higher in urban as compared to suburbs;② the area of urban heat island increased obviously in Nanjing since 1988,and emerged trend of expansion to the south;③ on spaces,there was uneven distribution of heat island intensity,new urban became new center of the strong heat island.

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Available abstract

Land surface temperature(LST) was retrieved in Nanjing city by using the inversion algorithm based on image,the spatial and temporal variation of the urban heat island effect was analyzed.The results showed that: ①there was obvious heat island effect in Nanjing city,heat island intensity was 1~3 level higher in urban as compared to suburbs;② the area of urban heat island increased obviously in Nanjing since 1988,and emerged trend of expansion to the south;③ on spaces,there was uneven distribution of heat island intensity,new urban became new center of the strong heat island.

Key concepts: Urban heat island, Intensity (physics), Inversion (geology), Geography, Spatial distribution, Physical geography, Environmental science, Remote sensing

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