The research and realization of the land-use change forecasting model in development zones based on RS and GIS

This paper presents a land-use change forecasting model in development zones based on RS and GIS. We argue that, in order to explore a feasible method for forecasting land-use change in development zones, GIS (geography information system) and RS (remote sensing) are used to analyze the different kinds of land-use change process and situation dynamically and quantitatively. Land-use change is represented by transition probability that is calculated from QuickBird, IKNOS and SPOT imagery. And based on that a Markov transition matrix of different land-use categories is built up to forecast the land-use change trend. According to this method, a utility system is developed using C# and ArcEngine as tools. The study shows this system is credible and practical, and improves the efficiency of land management in the development zones as a useful land-use monitoring tool.