DocumentCode :
2856432
Title :
Modelling the Impacts of Different Policy Scenarios on Urban Growth in Lanzhou with Remote Sensing and Cellular Automata
Author :
Xu Xibao ; Feng, Zhang ; Jianming, Zhang
Author_Institution :
aKey Lab. of Western China´´s Environ. Syst.(MOE), Lanzhou Univ., Lanzhou
fYear :
2006
fDate :
July 31 2006-Aug. 4 2006
Firstpage :
1435
Lastpage :
1438
Abstract :
Integration of remote sensing and CA has been the frontier edge of the urban research. This paper presents an application of remote sensing and cellular automata in modelling the impacts of different policy scenarios on urban growth in Lanzhou, China. SLEUTH urban growth model, was introduced and coupled with remote sensing loosely. SLEUTH was an extended cellular automata model, developed with predefined growth rules applied spatially to grid maps of cities, and designed to be both scaleable and universally applicable. SLEUTH is an acronym for the input layers that the model uses in gridded map form: Slope, Land Use, Exclusion, Urban Extent, Transportation and Hillshade. In this paper, the main built-up area of Lanzhou is chose as the study area, which is a typical valley-basin city. Historical data sets derive from aerial photos of 1980 (1:10000) and 2001(1:4000), and Landsat TM images collected in 1986 and 1993.And three different policy scenarios were designed to explore its different impacts on urban growth, respective to calibration and prediction of the model. The first scenario was without any consideration given to urban planning or policy; the second scenario considered urban planning and policies, but only 50% implementation of the overall plan or policies; the third scenario considered full implementation of the urban plan and polices. The calibrations of the three scenarios all reflect the restrictive land use for development in Lanzhou, and the intentions to control the sprawl strictly. The progressive urban developments are projected into the future 20 years under three different scenarios. Compared with statistic and spatial distribution under different scenarios, it can be concluded the impacts of policies on urban growth in Lanzhou are profound, and the government plays a very important role in urban growth. And the second scenario is more close to the reality, the implementation of urban planning and policies in the reality is not very good and th- - ere are still many problems about urban planning and decision-making in urban growth of Lanzhou, such as arbitrary and scientific.
Keywords :
cellular automata; remote sensing; town and country planning; AD 1986 to 1993; China; Exclusion; Hillshade; Landsat TM images; Lanzhou; SLEUTH urban growth model; Slope; Transportation; Urban Extent; decision-making; extended cellular automata model; grid maps; land use; remote sensing; urban planning; urban polices; Calibration; Cities and towns; Decision making; Government; Predictive models; Remote sensing; Satellites; Statistical distributions; Transportation; Urban planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-9510-7
Type :
conf
DOI :
10.1109/IGARSS.2006.370
Filename :
4241517
Link To Document :
بازگشت