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
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