DocumentCode
2712052
Title
Spatial and temporal analysis of urban heat Island effects in Chengdu City by remote sensing
Author
Xu, Huixi ; Chen, Yunhao ; Dan, Shangming ; Qiu, Wenxia
Author_Institution
State Key Lab. of Earth Surface Processes & Resource Ecology, Beijing Normal Univ., Beijing, China
fYear
2011
fDate
24-26 June 2011
Firstpage
1
Lastpage
5
Abstract
This paper studied temporal and spatial changes of Urban Heat Island Effects (UHI) in Chengdu City, Sichuan Province of China, using LandSat ETM+/TM data. Urban Black-body Temperature (TBB) was obtained. The findings are showed as follow: (1) UHI is extremely remarkable within the Third Ring Road of Chengdu City. (2) In terms of spatial changes, in 1988, the high temperature zone mainly occurred in the downtown within the First Ring Road. In 1999, UHI gradually extended from the city center to the Second Ring Road, and urban center was no longer the center of heat island. In 2006, UHI mainly occurred in the east, southwest and northwest of the city outside the Third Ring Road. (3) In terms of quantity changes, the heat island area in 1988 was 7146.54 hm2, which accounted for 36.95% of study area; that in 1999 was 6490.26 hm2, which accounted for 33.56%; that in 2006 was 5259.42 hm2, which accounted for 27.19%. From 1988 to 2006, the heat island distribution area gradually reduced and UHI showed decreasing trends.
Keywords
atmospheric boundary layer; atmospheric temperature; thermal pollution; AD 1988 to 2006; Chengdu City; China; First Ring Road; LandSat ETM+/TM data; Sichuan Province; Third Ring Road; remote sensing; spatial analysis; temporal analysis; urban black-body temperature; urban heat island; Cities and towns; Earth; Remote sensing; Roads; Satellites; Temperature distribution; Thermal pollution; black-body temperature; spatial and temporal evolution; thermal infrared remote sensing; urban expansion; urban heat Island effects;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2011 19th International Conference on
Conference_Location
Shanghai
ISSN
2161-024X
Print_ISBN
978-1-61284-849-5
Type
conf
DOI
10.1109/GeoInformatics.2011.5981043
Filename
5981043
Link To Document