Share Email Print
cover

Proceedings Paper

Modeling the dynamics of urban sprawl and spatial landscape pattern in Beijing metropolitan area
Author(s): Jie Zhang; Xiaoling Pan; Zhiqiang Gao; Qingdong Shi; Guanghui Lv; Wei Gao
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Urban sprawl has sparked a new debate over land-use policy in Beijing metropolitan area in China during past three decades. Increasing populations and economics intensify the urban growth and cropland encroachment. The metropolitan area has gone through a rapid urban growth and transformation from rural to developed land over a short period of time and provided an excellent study area for this study. Using historical land use maps and a spatially explicit dynamic cellular automata urban sprawl model we present applications of a spatially explicit model of land use change. The use of the results for environmental assessments is illustrated by calculating spatial indices to assess the impact of land use change on forest fragmentation. It is concluded that spatially explicit modeling of land use change yields important information for environmental management and land use planning. We quantify the urban sprawl and model the spatial landscape pattern change in Beijing metropolitan area, China. These results constitute a foundation for spatial and ecosystem models to predict long-term environmental impacts of land use change in China.

Paper Details

Date Published: 1 September 2005
PDF: 13 pages
Proc. SPIE 5884, Remote Sensing and Modeling of Ecosystems for Sustainability II, 58840Y (1 September 2005); doi: 10.1117/12.613219
Show Author Affiliations
Jie Zhang, Nanjing Univ. (China)
Xinjiang Univ. (China)
Xiaoling Pan, Xinjiang Univ. (China)
International Ctr. for Desert Affairs, Xinjian Univ. (China)
Zhiqiang Gao, International Ctr. for Desert Affairs, Xinjian Univ. (China)
Institute of Geographic Sciences and Natural Resources Research, CAS (China)
Qingdong Shi, Xinjiang Univ. (China)
International Ctr. for Desert Affairs, Xinjian Univ. (China)
Guanghui Lv, Xinjiang Univ. (China)
International Ctr. for Desert Affairs, Xinjian Univ. (China)
Wei Gao, International Ctr. for Desert Affairs, Xinjian Univ. (China)
Colorado State Univ. (United States)


Published in SPIE Proceedings Vol. 5884:
Remote Sensing and Modeling of Ecosystems for Sustainability II
Wei Gao; David R. Shaw, Editor(s)

© SPIE. Terms of Use
Back to Top