基于1∶50000西部无图区土地覆盖分类应用研究

摘要

The land cover/land utilization（LC/LU） investigation has been given great attention as the crucially primary job to develop the prediction of dynamic changes of land utilization,the prevention of natural disasters and plan of land utilization,and the land management and environmental protection.With the development and exploration of remote sensing technologies and all kinds of models of geographic analysis,the classification and supervision of land cover by the descriptions of areas of LC/LU from remote sensing technologies have rapidly become the most reliable and effective measure.The thesis describes the classification supported by the model of intellect diagram of remote-sensing geography and the applied investigation studies of LC/LU by remote sensing technologies,taking 1∶ 50 000 non-chart Talimu eastern areas based on the west map-testing project as the trial object and making full use of multi-platform remote sensing data and the auxiliary geography information software.%土地覆盖/土地利用（LC/LU）调查已经成为开展土地利用动态变化预测、自然灾害防治及土地利用规划、土地管理和环境保护的一项关键的基础性工作,受到广泛关注和重视。随着遥感技术和各种地学分析模型的发展和成熟,利用遥感技术获得的影像数据对区域的LC/LU情况进行土地覆盖分类和监测,成为一种最为迅速可靠和理想有效的手段。本文综合论述了遥感地学智能图解模型支持下的LC/LU分类,并以西部测图工程1∶50 000无图区塔里木东部地区为试验对象,采用多平台遥感数据和辅助地理信息软件,进行了LC/LU遥感应用分类研究。