| Land-using change play an important role in global environment change and sustainable development.Remote sensing technology and with the advantages such as dynamic, unity and quick has become an important means in monitoring land-using change.The purpose of this paper is to witdrawn the information of land-using change (2000,2004,2007)in north of Urmuqi then analysis these land-using change information.With the help of area transfer matrix of land-using change, using land-using dynamic degree model , extent of land-using and the diversity of land-using to anslysis dimensional change of this area.Using Markov's Model and GM(1,1) Model to predict the land-using change ,and found the Markov's Model of predictive value of land-using change are basically correspondence with actual value.At last, to analysis the driving forces of land -using change from aspect of qualltative .Based on analysis and predict the north of Urumqi land-using change, an ultimate conclusion is obtained:(1) Farm-land and unused-land are reducing in the north of Urumqi.(2) The trend of development in north of Urumqi is improving.(3) By comparing the Markov's model with the GM(1,1)Model,found that the Markov's Model of predictive value of land-using change are basically correspondence with actual value and using the Markov's Model to predict is feasible. |