DocumentCode
2851032
Title
The Pattern Analysis of Construction Land Based on Remote Sensing Data and Landscape Metrics
Author
Lv, Zhi-qiang ; Wu, Zhi-feng ; Cheng, Jiong ; Liu, Xiao-nan ; Zheng, Hai-feng ; Zheng, Yan-min
Author_Institution
Dept. Geogr., Guangdong Inst. of Eco-Environ. & Soil Sci., Guangzhou, China
fYear
2009
fDate
19-20 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
Shenzhen located in South China has experienced a rapid construction land expansion over the past three decades. This paper focuses on the pattern change integrating remote sensing, geographic information systems (GIS) and landscape metrics. Using Landsat images for 1979,1990, 2000 and 2005 also land use map for 1985 and 1995, we analyzed the spatial and temporal patterns of the construction land for its three counties in Shenzhen. The construction land patterns of each study year were also described spatially and temporally by the landscape metrics. The Result showed that the construction land in the study area had increased dramatically from 19.55km2 in 1979 to 894.31km2 in 2005. The construction land centroids of the 6 study years transferred from southwest to northeast from 1979 to 2005. The patterns of the construction land among the study counties were quite different in different study periods. This study indicated the dynamics of the construction land pattern. The study method can be utilized by the land planners and the urban planners.
Keywords
construction; geographic information systems; pattern recognition; remote sensing; town and country planning; Landsat images; geographic information systems; land planners; landscape metrics; pattern analysis; rapid construction land expansion; remote sensing data; urban planners; Cities and towns; Geographic Information Systems; Geography; Image analysis; Land use planning; Pattern analysis; Remote sensing; Resource management; Satellites; Soil;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4994-1
Type
conf
DOI
10.1109/ICIECS.2009.5365388
Filename
5365388
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