土地利用变化检测在土地资源管理、国土资源监测中发挥着重要的基础作用。针对2013年到2017年江西省南昌市GF-1号多光谱遥感影像,利用基于支持向量机的图像分类方法对遥感影像进行分类,生成了该地区在这5年的土地利用变化图,并分析其土地利用变化特征。结果表明,研究区的土地类型主要以林地、草地、水体及建筑用地为主,在这5年,植被面积变化最大,减少了54.74 km 2,其次是水体面积,增加了22.12 km 2,建筑用地的面积增加了19.45 km 2,裸地的面积增加了5.17 km 2。

Land use change detection is crucial in land resource management and monitoring. Herein, GF-1 multi-spectral remote sensing images, which were captured in Nanchang city of Jiangxi province in 2013—2017, are classified using the image classification method based on support vector machine. Moreover, land use change maps of the study area in those five years are generated, and land use change characteristics are analyzed. Results show that the types of land in the study area are mainly forest land, grassland, water, and building land. In the five years, the vegetation changed the most with a decrease of 54.74 km ², followed by the water area with an increase of 22.12 km ², then land building area with an increase of 19.45 km ², and bare land area with an increase of 5.17 km ².