Suzhou Urban Land-Use Change and its Prediction Analysis

Abstract

Based on the 2000 ETM+ and 2009 TM images, the Suzhou urban district as the research object, supported by the remote sensing software, using the support vector machine (SVM) classification to extract the urban landscape types in 2000-2009, analyzing the land-use dynamic change and mutual transformation in Suzhou urbanization process from the land-use type transition matrix, dynamic degree, development degree and consumption reduction degree, and using the Markov model to forecast the Suzhou urban land-use dynamic change trend in 2009, 2018, 2027 and 2036, for the future Suzhou land-use dynamic monitoring, land-use planning and adjustment, ecological environment regulation and restoration, and land resource sustainable utilization to provide the theoretical basis. The results show that Suzhou urban land-use occurred to a large changes from 2000 to 2009, the construction land area increased significantly, the cultivated land area reduced sharply, the wood land and water body area slightly increased. According to the Markov model prediction results from 2009 to 2036, the cultivated land and wood land area will continue to reduce, the construction land and water body area will continue to increase, which makes the contradiction between the cultivated land protection and the urban expansion will become more prominent.