Title :
Dynamic Change in Landscape Pattern of Shen-Fu Connection Area Based on Markov Model
Author :
Wang, Wei ; Zhu, Jinghai ; Liu, Weiling ; Liu, Miao
Author_Institution :
Inst. of Appl. Ecology, Chinese Acad. of Sci., Shenyang, China
Abstract :
Based on dynamic changes of land use types from remote sensing data at 2000-2005 periods, dynamics of landscape pattern in Shen-Fu connection area are quantitatively analyzed during those two periods. The transition probability matrices at two primary states (2000 and 2005) are established. Then, the development and the future tendency of landscape patterns are simulated and forecasted with Markov process. And the result shows that total area of grassland and built-up is increasing and the other land type area is decreasing, which shows urban sprawl process has great impact on landscape pattern.
Keywords :
Markov processes; matrix algebra; probability; remote sensing; Markov model; Shen-Fu connection area; dynamic change; grassland; land use types; landscape pattern; remote sensing; transition probability matrices; urban sprawl process; Automation; Cities and towns; Economic forecasting; Environmental economics; Environmental factors; Matrix converters; Pattern analysis; Predictive models; Remote sensing; Sustainable development; Markov model; Shen-Fu Connection Area; change of landscape pattern; simulation and forecast;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.243