DocumentCode :
3004946
Title :
Spatial Analysis of Main Urban Land-Use Patterns in Guangzhou
Author :
Ying Li ; Chi Haishan
Author_Institution :
Sch. of Geogr. Sci., Guangzhou Univ., Guangzhou, China
fYear :
2010
fDate :
29-31 Oct. 2010
Firstpage :
1
Lastpage :
4
Abstract :
Based on the information of land-uses which was achieved by the satellite remote sensing TM image in 1990 and 2006, this paper took the main urban area of Guangzhou as a study area to analyze its structure and dynamics of land-use changes, as well as the spatial variation of the land-use by dynamic degree of land-use, land-use composite index, and the compactedness coefficient and relative entropy in line with the land-use structure features. The results showed that land-use composite indexes of the main urban area in Guangzhou were in an increased trend, particularly in construction land-use. A large number of farmland, woodland, gardens and waters turned into construction land-uses, so construction land-use areas made a significant growth; trends of regional construction land-use and urban development were scattered; old area´s development and utilization was the most compact form, followed by Huadu, and Panyu and Nansha area were minimum, where is the least relatively compact; entropies of the three regions were higher, which showed that land use and development were in a more scattering and average situation, among the three, entropies of Panyu and Nansha area growing fastest; it also showed that land development and utilization of this area would have a dispersive trend.
Keywords :
geomorphology; terrain mapping; AD 1990; AD 2006; China; Guangzhou; Huadu area; Landsar TM image; Nansha area; Panyu area; compactedness coefficient; construction land use; farmland; gardens; land use composite index; land use composite indices; land use dynamic degree; land use spatial variation; land use structure features; main urban land use pattern spatial analysis; relative entropy; satellite remote sensing; water body; woodland; Cities and towns; Economics; Entropy; Indexes; Remote sensing; Rivers; Urban areas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Technology (ICMT), 2010 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4244-7871-2
Type :
conf
DOI :
10.1109/ICMULT.2010.5631147
Filename :
5631147
Link To Document :
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