The study area was in Tumen River across national border region, including China, North Korea and Russia. Four periods of remote sensing images ( MSS, TM, ETM, etc) were used including 1976, 1991, 2000 and 2010, and Classification and Regression Tree (CART) method was used in analyzing land use/cover classification. And then, the result classification images of four periods were used to analyze dynamic change of land use/ cover using a variety of methods such as single land use dynamic degree, comprehensive land use dynamic degree, the relative change rate of land use and the relative change degree of land use. The results show that forestland and grassland are the main land cover types in the study area, and the following is cultivated land. Among them, the mixed forest occupies a large proportion in the forest, while the dry land occupies the larger proportion in cultivated land. During the years from 1976 to 2010, the area of various types of land use/cover in Tumen River Area has a great change. The largest increased area is dry land, the following is construction land, while the area of coniferous forest is the reduced one. The single land use dynamic degree analysis indicates that the area of coniferous forest has been reducing, while the area of construction land has been increasing. There are great differences of land use among China, North Korea and Russia, the land use change degree in North Korea is bigger than that in China and Russia, and the land use change degree in Russia is the smallest of all.%以图们江跨国界地区为研究范围,采用1976年、1991年、2000年和2010年4期遥感影像,应用分类决策树法(Classification and Regression Tree,CART)进行土地利用/覆盖分类,进而利用单一土地利用动态度、综合土地利用动态度、土地利用相对变化率、土地利用相对变化度等方法对4期土地覆盖分类结果图进行了动态变化分析.结果表明,研究区内林地和草地为主要的土地覆盖类型,其次为耕地.其中,混交林在林地中占有相当大的比重,旱地在耕地中占有较大比重.1976-2010年,图们江地区土地利用/覆盖各类型面积变化幅度巨大,其中面积增加最多的是旱地,其次为建设用地,针叶林减少面积最多.单一土地利用动态度表明,针叶林面积在逐渐减少,建设用地一直在增加.中朝俄3国土地利用差异很大,且朝鲜一侧的土地利用变化剧烈程度大于中国和俄罗斯,俄罗斯一侧的土地利用变化程度最小.
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