Multi-platform remote sensing using space-, airborne and ground-based sensors has become essential tools for landslide assessment and disaster-risk prevention. Over the last 30 years, the multiplicity of Earth Observation satellites mission ensures uninterrupted optical and radar imagery archives. With the popularization of Unmanned Aerial Vehicles, free optical and radar imagery with high revisiting time, ground and aerial possibilities to perform high-resolution 3D point clouds and derived digital elevation models, it can make it difficult to choose the appropriate method for risk assessment. The aim of this paper is to review the mainstream remote-sensing methods commonly employed for landslide assessment, as well as processing. The purpose is to understand how remote-sensing techniques can be useful for landslide hazard detection and monitoring taking into consideration several constraints such as field location or costs of surveys. First we focus on the suitability of terrestrial, aerial and spaceborne systems that have been widely used for landslide assessment to underline their benefits and drawbacks for data acquisition, processing and interpretation. Several examples of application are presented such as Interferometry Synthetic Aperture Radar (InSAR), lasergrammetry, Terrestrial Optical Photogrammetry. Some of these techniques are unsuitable for slow moving landslides, others limited to large areas and others to local investigations. It can be complicated to select the most appropriate system. Today, the key for understanding landslides is the complementarity of methods and the automation of the data processing. All the mentioned approaches can be coupled (from field monitoring to satellite images analysis) to improve risk management, and the real challenge is to improve automatic solution for landslide recognition and monitoring for the implementation of near real-time emergency systems.

中文翻译：

---

评估滑坡和相关灾害的遥感

使用空间、机载和地面传感器的多平台遥感已成为滑坡评估和灾害风险预防的重要工具。在过去的 30 年里，地球观测卫星任务的多样性确保了不间断的光学和雷达图像档案。随着无人机、具有高重访时间的免费光学和雷达图像、地面和空中执行高分辨率 3D 点云和衍生数字高程模型的可能性的普及，使得选择合适的风险评估方法变得困难。本文的目的是回顾通常用于滑坡评估和处理的主流遥感方法。目的是了解遥感技术如何在考虑到一些限制因素（例如现场位置或调查成本）的情况下用于滑坡灾害检测和监测。首先，我们关注已广泛用于滑坡评估的地面、空中和星载系统的适用性，以强调它们在数据采集、处理和解释方面的优缺点。介绍了一些应用示例，例如干涉测量合成孔径雷达 (InSAR)、激光测量、地面光学摄影测量。其中一些技术不适用于缓慢移动的滑坡，其他技术仅限于大面积区域，而其他技术则适用于局部调查。选择最合适的系统可能很复杂。今天，理解滑坡的关键是方法的互补性和数据处理的自动化。所有提到的方法都可以耦合（从现场监测到卫星图像分析）以改进风险管理，真正的挑战是改进滑坡识别和监测的自动解决方案，以实施近实时应急系统。