DocumentCode :
2441578
Title :
Use of Landsat TM/ETM+ data to analyze urban heat island and its relationship with land use/cover change
Author :
Lee, Long ; Chen, Longqian ; Wang, Xinxin ; Zhao, Jianlin
Author_Institution :
Jiangsu Key Lab. of Resources & Environ., Inf. Eng., China Univ. of Min. & Technol., Xuzhou, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
922
Lastpage :
927
Abstract :
Rapid urbanization has significant impacts on weather and climate change, and urban heat island (UHI) is one of the most important impacts, causing central urban areas to be obviously warmer than their nearby rural areas. Remote sensing provides immense amounts of data for the study on urban heat island. Xuzhou is a famous industrial city in China experiencing fast urbanization since 1978. In this paper, Landsat TM/ETM+ images over Xuzhou from 1994 to 2007 were utilized to classify land use/cover types by decision tree classifier and retrieve brightness temperatures. Results indicated that the intensity of urban heat island was strengthened with the sprawl of urban areas. To explore and quantitatively analyze the relationship between urban heat island and land use/cover change, mathematical models were built using four indices, Normalized Difference Vegetation Index, Normalized Difference Water Index (NDWI), Normalized Difference Built-up Index (NDBI), and Normalized Difference Bareness Index (NDBaI).
Keywords :
atmospheric temperature; environmental science computing; geophysical signal processing; pattern classification; terrain mapping; thermal pollution; vegetation mapping; AD 1994 to 2007; China; Landsat ETM+ data; Landsat TM data; NDBI; NDBaI; NDVI; NDWI; UHI; Xuzhou city; brightness temperature; decision tree classifier; land cover change; land cover type classification; land use change; land use type classification; normalized difference bareness index; normalized difference built-up index; normalized difference vegetation index; normalized difference water index; remote sensing; urban area sprawl; urban heat island; Brightness temperature; Earth; Land surface; Land surface temperature; Remote sensing; Satellites; Vegetation mapping; Land use/cover change (LUCC); Landsat TM/ETM+; NDVI, NDWI, NDBI and NDBaI; Urban heat island (UHI); Xuzhou;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
Type :
conf
DOI :
10.1109/RSETE.2011.5964429
Filename :
5964429
Link To Document :
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