CAJ | 학술논문

以济宁市任城区为研究对象，获取研究区域2001年、2006年和2011年三期Landsat ETM与TM影像，通过ENVI遥感影像处理软件分析了研究区影像的光谱特征以及植被归一化指数( NDVI )、建筑归一化指数( NDBI)以及水体归一化指数( NDWI)，利用决策树算法确定各地类的综合阈值，建立决策树模型，得到了土地利用覆盖分类结果并取得了良好的分类精度。同时通过对研究区2001至2011年的土地利用动态度及土地利用转移矩阵的分析得出研究区在研究期内的土地利用覆盖变化特征，最终得出结论：(1)利用决策树分类能够获得较高的分类精度；(2)任城区城镇化发展迅速，城镇化在区域土地利用覆盖变化过程中起到了主导性的作用。
이제저시임성구위연구대상，획취연구구역2001년、2006년화2011년삼기Landsat ETM여TM영상，통과ENVI요감영상처리연건분석료연구구영상적광보특정이급식피귀일화지수( NDVI )、건축귀일화지수( NDBI)이급수체귀일화지수( NDWI)，이용결책수산법학정각지류적종합역치，건립결책수모형，득도료토지이용복개분류결과병취득료량호적분류정도。동시통과대연구구2001지2011년적토지이용동태도급토지이용전이구진적분석득출연구구재연구기내적토지이용복개변화특정，최종득출결론：(1)이용결책수분류능구획득교고적분류정도；(2)임성구성진화발전신속，성진화재구역토지이용복개변화과정중기도료주도성적작용。
Taking Rencheng District of Jining as a study case, this paper analyzed the spectral characteristics of the images and their value of NDVI, NDBI and NDWI with the support of ENVI software, based on the Landsat ETM and TM Images of study area in 2001 , 2006 and 2011 . Decision Tree Algorithm was used to calculate the threshold value for different lands and built Decision Trees. Then the classification results were obtained with high accuracy results. Meanwhile, land Use Dynamics and land Use Transition Matrix of the study area from 2001 to 2011 were analyzed, and the characteristics of land Use Cover Change in the study area during the study period were obtained. The Conclusions were as follows:1) a higher classification accuracy through using decision tree can be achieved;2 ) The urbanization development of Rencheng was obvious which had played a leading role in the process of land use cover change in the study case.