DocumentCode :
3055649
Title :
Urban heat island monitoring and analysis based on remotely sensed data
Author :
Ya Ma ; Aimin Liu ; Tianxing Wang ; Gaodi Xie ; Mingyang Zhao
Author_Institution :
Inst. of Geographic Sci. & Natural Resources Res., Beijing, China
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
1493
Lastpage :
1496
Abstract :
Urban heat island (UHI) is one of the main factors influencing the weather, climate, and environment in urban and its surrounding areas. In this study, MODIS´s MOD11A2 product over the year of 2000-2012 is used to investigate and monitoring the UHI of Dongguan, China. The result indicates that the higher UHI intensity at day-time is frequently occurred in the summer and fall, while the lower UHI intensity is often observed in spring, while no seasonal variation pattern could detect for night-time UHI. During the 13years, the region with higher LSTs is frequently distributed in areas covered by built, roads and bare soils etc., while regions with lower LSTs are mainly occurred in places dominated by waters, forests and parks etc.
Keywords :
atmospheric temperature; remote sensing; thermal pollution; AD 2000 to 2012; China; Dongguan; MODIS MOD11A2 product; UHI intensity; night-time UHI; remotely sensed data; seasonal variation pattern; urban heat island analysis; urban heat island monitoring; Land surface; Land surface temperature; MODIS; Remote sensing; Satellites; Temperature sensors; Thermal pollution; Land surface temperature (LST); MODIS; Urban heat island; heat island intensity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723069
Filename :
6723069
Link To Document :
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