基于遥感影像的肥东县土地利用变化及其驱动力分析-土地资源管理专业论文.docx

II II abstract The analysis of land use change and its driving force has become the research frontier and hot issue of international scholars, remote sensing and GIS technology provides fast, accurate access to land use change with a strong technical support. Fully understanding of land use change situation and analyzes its driving force research is the key.of revealing land use change rule and predicting the tendency of the future land use change This paper classified 3 TM images of Feidong county in 2000, 2006 and 2 011 by the maximum likelihood of supervised classification and the “data mini ng (WEKA) + ENVI decision tree classification + ground validation semi-auto matic classification method , after precision of classification reprocessing and v erification, Based on the results of classification of the “data mining (WEKA) + ENVI decision tree classification + ground validation semi-automatic classifi cation method, constructed the land use conversion matrix of Feidong county fr om 2000 to 2006 and 2006-2011 using spatial overlay analysis function of Arc GIS and analyzed the land use change of quantity、structural and degree of Fei dong county from 2000 to 2011. Based on the land use change analysis, this paper analyzed the driving forces of land use change of Feidong county by the method of combining qualitative and quantitative. Driving force of natural fact or and policy factor has analyzed on the qualitative analysis at first, and then analyzed the driving force of social and economic factors by the method of qu antitative analysis, especially for selecting the 10 factors driving for constructio n land, analyzed the construction land change driving force of Feidong county using principal component analysis with SPSS. The results showed: the accuracy of the “data mining (WEKA) + ENVI decision tree classification + ground validation