An Integrated CA-Markov Model for Dynamic Simulation of Land Use Change in the Qinghai Lake Basin

Account of the remote sensing images advantage of land cover and climate change in quantitative description, making Qinghai lake basin as an example, TM remote sensing image data of Three years in 2001, 2006, 2011 are selected, The method of support vector machine (SVM) classifying for remote sensing image are taken, as a result, every classification land cover map are carried out, through the establishment of the CA - MARKOV prediction model, model validation and application in Qinghai lake watershed, The predictions of land use type annual variation in 2016 is made, the characteristics and spatial distribution of information is got. The research results show that the predicted results is very close to the actual interpretation results, it shows that CA MARKOV prediction model is feasible in predicting land cover change, and can reveal the land cover change trend effectively, it is of great significance on planning decision-making, analysis of land desertification in the region, the ecological environment change rule and its formation.