Title :
The analysis of land use dynamic change and driving force in the Olympic village periphery area
Author :
Dan, He ; Jing, Zhou ; Jianming, Cai ; Zhuping, Qiao
Author_Institution :
Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing
Abstract :
Using two scenes SPOT5 data in 2004 as well as two scenes CBERS-02B data in 2008 covering the Olympic village periphery area, the aim of this project is to investigate the utilization of the surrounding areas of the Olympic village periphery area with remote sensing monitoring technology. Firstly, Land use change data both in 2004 and in 2008 year is gained. Based on this, land use dynamic change model and land use type gross change is analyzed. Change velocity is described with single land use dynamic degree and integrative land use dynamic degree. Road land and public infrastructure land are increasing constantly, and green land is decreasing rapidly and resident land is reduced slowly. Then ARCGIS statistic analysis is performed respectively to each land use type in the study area and land use conversion matrix is acquired which shows the transformation situation of land use types. Moreover, dynamic evolvement in land use composition based on entropy is analyzed. Entropy is the measure of system complexity and equilibrium degree, and it is used to describe the diversity of the land use. Furthermore, equilibrium degree and superiority degree show the area difference among land types along with the structure and pattern of various function types. From 2004 to 2008.. Entropy entropy is decreasing clearly which indicates that land use structure has a bigger change in the study area. Besides, equilibrium degree is decreasing trend and superiority degrees is increasing in evidence. In addition, the existing land use border and shape were formed under the joint efforts of many forces, such as socio-economic force, physical condition, and so on. This article also analyzed some influence driving factors such as land use policy guidance, social economy factors and so on.
Keywords :
land use planning; remote sensing; AD 2004; AD 2008; Beijing; CBERS-02B data; China; Olympic village periphery area; SPOT5 data; change velocity; driving force; entropy; green land; land use composition; land use conversion matrix; land use dynamic change analysis; land use dynamic change model; land use policy guidance; public infrastructure land; remote sensing monitoring technology; road land; social economy factors; Content addressable storage; Entropy; Environmental economics; Forestry; Helium; Industrial economics; Layout; Power generation economics; Remote monitoring; Remote sensing;
Conference_Titel :
Urban Remote Sensing Event, 2009 Joint
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3460-2
Electronic_ISBN :
978-1-4244-3461-9
DOI :
10.1109/URS.2009.5137479