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Urban land use systems are complex systems with components, factors and agents from natural, environmental, social and economic systems. In this paper, we developed a remote sensing and GIS-based integrated approach to modeling and predicting spatially-explicit urban land use changes. The model was built using temporal remote sensing data land use analysis coupled with a Markov model and a spatial...
Two periods of TM remote sensing images in 1994 and in 2005 are used to analyze the dynamic variation of wetland's types at first, and then, using the cellular automata (CA) model and Markov model to predict the change tendency of wetland types in Khanka lake nature reserve. The result is as following: (1) from 1994 to 2005, the area of herbaceous swamp & swamp meadow and shrub swamp have a rapid...
Based on multi-temporal remote sensing images of Jinjiang City in China acquired in 1988 and 2001, we identified the characteristics and the classification systems of its ecological environment. By interpreting the thematic map of ecological environment in this area and analyzing the existing land use situation, two maps were obtained for these two different periods of time. A spatio-temporal analysis...
This paper takes three main wetland distributing counties in Yancheng: Dongtai, Dafeng and Sheyang as study areas. With the processing of four-period (every six years from 1988 to 2006) remote sensing (RS) images, a dynamic change analysis of the Yancheng wetland types was illuminated at first. Then, according to the results of the RS images interpretation, the change prediction of the wetland types...
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