国外基于遥感的滑坡灾害研究方法进展

Foreign research progress of landslide hazard analysis methods based on remote sensing

滑坡是世界上最严重的自然灾害之一,遥感技术可用于滑坡的识别、填图、监测和评价。与实地调查方法相比,遥感可以快速获取大区域数据,减少野外工作量和成本。因此,它能更经济地了解较大范围的滑坡分布,评估滑坡灾情。目前,国外在滑坡调查中使用遥感技术的新进展主要有:利用合成孔径雷达、高空间分辨率的便携式无人机、多时相遥感数据、面向对象的图像处理方法等。通过对这些新方法及其实例介绍,分析这些滑坡调查新方法的进展以及未来发展方向。

Landslide is a kind of slope failure events with a greater impact on environment,and the remote sensing technology can be used for landslide identification,mapping,monitoring and evaluation.Compared with the direct field survey methods,remote sensing can obtain large-scale data quickly,and reduce filed efforts and cost.Therefore,it is more economical to use remote sensing to assess a large-scale landslide-affected area without good weather.Nowadays,there is much new progress of various remote sensing techniques and analysis methods for the foreign slope stability survey,such as synthetic aperture radar,portable UAV with high spatial resolution,multi-temporal remote sensing data,and object-oriented image processing method.This paper introduces these new methods of landslide studies and illustrates some instances,and further summarizes the progress and future direction.