DocumentCode :
2706585
Title :
Remote sensing of impervious surface dynamics of Xiamen City, southeastern China
Author :
Xu, Hanqiu ; Lin, Dongfeng ; Tang, Fei ; Wei, Chengxi
Author_Institution :
Coll. of Environ. & Resources, Fuzhou Univ., Fuzhou, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
1
Lastpage :
6
Abstract :
The worldwide urban sprawl has led to the substitution of natural vegetation- and water-dominated lands by impervious materials such as building roofs and paved roads. This has brought about significant impacts on ecosystems on a local, regional and global scale. Taking Xiamen City of Fujian province, China, as a case, this study investigated the impervious surface dynamics of the city during the last 20 years. The normalized difference impervious surface index (NDISI) was used to extract impervious surfaces of the city from Landsat TM imagery. The results show that the impervious surface area of the city has increased by about eight times at a ~10 % average annual growth rate during the 20 study years. Further investigation of the relationships among impervious surface, land surface temperature (LST), vegetation and water has revealed a strong positive exponential relationship between impervious surface area and LST, while vegetation and water are inversely related to LST.
Keywords :
environmental factors; land surface temperature; terrain mapping; vegetation; Fujian province; Landsat TM imagery; NDISI; Xiamen city; building roofs; ecosystems; impervious materials; impervious surface dynamics; land surface temperature; natural vegetation dominated lands; normalized difference impervious surface index; paved roads; remote sensing; southeastern China; water dominated lands; worldwide urban sprawl; Biological system modeling; Cities and towns; Indexes; Land surface; Land surface temperature; Surface waves; Vegetation mapping; NDISI; Xiamen; environment; impervious surface; remote sensing;
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.2011.5980729
Filename :
5980729
Link To Document :
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