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Research Article
 

Analysis of Landscape Pattern Based on the CA-Markov Model



Y.H. Zhao, S. Fang, X.F. Wang and X. Huang
 
ABSTRACT

Based on the remote sensing images of Landsat Thematic Mapper (TM), China-Brazil Earth Resources Satellite (CBERS) and Environment and Disaster Monitoring and Forecasting (SSMFDE), this study analyzed the landscape characteristics and spatial pattern of Xi’an City, predicted its future landscape changes and proposed data conversion methods for the landscape pattern prediction. These analyses were by the ENVI, ARCGIS and IDRISI software. The results showed that the study area had a composite landscape matrix consisted of woodland and farmland from 2000 to 2020. The areas of the farmland and grassland will continue to decrease and those of the woodland, construction land, waters and unused land will increase until 2020. The vegetation coverage in the study area would remain high in 2020, corresponding to an excellent ecological environment that would not restrict social and economic development. The difference causes between the simulated landscape pattern with CA-Markov model and the interpreted landscape pattern from remote sensing images were discussed. A major issue needed to be improved for the CA-Markov model was proposed. The data processing and simulating procedures used in this study may significantly streamline the workload and boost efficiency.

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  How to cite this article:

Y.H. Zhao, S. Fang, X.F. Wang and X. Huang, 2013. Analysis of Landscape Pattern Based on the CA-Markov Model. Journal of Applied Sciences, 13: 1889-1894.

DOI: 10.3923/jas.2013.1889.1894

URL: https://scialert.net/abstract/?doi=jas.2013.1889.1894

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