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Monitoring of land use change is the focus of global change research direction and coreareas. In this paper, the main city of Xi’an in Shaanxi Province for the object, based on2000,2011, Landsat TM image data, after the preferred TM image analysis of each band, land usestatus information automatic classification of remote sensing image recognition and extraction,analysis of land use temporal and spatial variation and predict the next30years in Xi’anevolution trends of land use structure, the main draw the following conclusions:(1) From2000to2011land use type analysis, farmland, woodland and residents in thestudy area plays a dominant role. In2000, farmland, woodland and residential land accounted for56.84%,27.01%and15.59%. Area was2031.54km~2,965.57km~2and557.20km~2,2011cultivatedland, forest land and residential land accounted for41.97%,28.38%and28.65%, respectively,for the area of1500.06km~2,1014.26km~2and1023.92km~2.(2) Changes in the change from a variety of land and conversion type quantitative terms,changes in the number of farmland and residential land is particularly evident.2000-2011, arableland area decreased by531.47km~2, while land area residents increased466.73km~2. From thetransfer matrix can be found, mainly farmland and residential land conversion between the mainland converted to residential land. Integrated land use dynamic degree was2.47%, and theresidential area of the land use change trends and status index was9.39%, the highest in eachland type. The above data shows that in this period, the most obvious change in residential areas,other land are converted to residential areas trend.(3) The fractal dimension from the point of view of land, cultivated land in2000-2011tendsto become unstable, in which the number of residents to the fractal dimension changes from1.18to1.24; arable land tends to be unstable, from1.19to1.20. From the point of view of informationentropy increase mutual conversion of land use types are more active, from0.99in2000to1.12in2011, indicating the type of land use trends are becoming evident confusion. (4) Using the Markov model to predict, to2044the main city of Xi’an, the main types ofland use in residential areas mainly between types of land conversion speed gradually slowingdown. In2044, residents of the area of land cultivated and remained essentially unchanged, itreaches the maximum utilization of the land.(5) From the driving force of speaking, the human factor is to promote the fundamentaltypes of land conversion factors, and this transformation will cause the contradiction betweensupply and demand of land. Finally, the paper a few rationalization proposals, the most importantis to protect arable land, land use structure and optimize urban land management and otherfunctional areas.
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