Due to human activities and surface movement make a great change of land cover, it is necessary to carry out environmental monitoring of landscape dynamic and accurate mapping. A kind of landscape dynamic monitoring system based on geographic information system (GIS) is proposed. The multi-temporal decision tree classifier and morphological image processing technology are used for the system. It monitors the land use/cover change (LUCC) dynamically according to the spectrum and surface model data of remote sensing image. Experiment is conducted in local image in the Landsat 5 TM database. The results show that, this method can achieve 90.77% recognition accuracy, has lower computation time and can detect vegetation distribution (plant/Vegetation Restoration), city (city/demolition) and physical morphology (fluvial geomorphic change/slope instability).%由于人类活动和地表运动使土地覆盖变化产生很大变化,所以需要对景观动态准确绘图来进行环境监测.为此提出一种基于地理信息系统(GIS)的景观动态远程监测系统,根据遥感图像的多时相遥感光谱和表面模型数据,利用多时相决策树分类器和形态学图像处理技术,实现对土地利用/覆盖变化(LUCC)的动态监测.在Landsat 5 TM数据库中的本地图像上进行实验,结果表明,该方法能够达到90.77%的识别准确度,且具有较低的计算时间,能够很好的检测出植被分布(植物/植被恢复)、城区(城市化/拆迁)和地理形态特征(河流地貌变化/边坡失稳).
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