Landslides can cause severe problems to the social and economic well-being. In order to effectively mitigate landslide hazards, the development of detailed susceptibility maps is required, towards implementing targeted risk management plans. This study aims to create detailed landslide susceptibility (LS) and landslide risk (LR) maps of the Sperchios River basin by applying an expert semi-quantitative approach that integrates the Geographic Information Systems (GIS)-based multicriteria analysis and Earth Observation (EO) data. Adopting the analytic hierarchy process (AHP) for a weighted linear combination (WLC) approach, eleven evaluation parameters were selected. The results were validated using a historic landslide database, enriched with new landslide locations mapped by satellite and aerial imagery interpretation and field surveys. Moreover, the landslide risk map of the area was also developed, based on the LS delineation, considering additionally the anthropogenic exposure and overall vulnerability of the area. The results showed that the most susceptible areas are located at the west and south-west regions of the basin. The synergistic use of GIS-based analysis and EO data can provide a useful tool for the design of natural hazards prevention policy at highly susceptible to risk landslide risk areas.

中文翻译：

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基于地球观测和基于GIS的滑坡敏感性和风险评估分析

滑坡会给社会和经济福祉带来严重问题。为了有效减轻滑坡灾害，需要制定详细的磁化率图，以实施有针对性的风险管理计划。这项研究旨在通过应用专家半定量方法，将基于地理信息系统（GIS）的多标准分析与地球观测（EO）集成在一起，来创建Sperchios流域的详细滑坡敏感性（LS）和滑坡风险（LR）地图。数据。对于加权线性组合（WLC）方法，采用层次分析法（AHP），选择了11个评估参数。使用历史滑坡数据库对结果进行了验证，该数据库丰富了通过卫星和航空影像解释以及野外勘测绘制的新滑坡位置。此外，根据LS划定，还绘制了该地区的滑坡风险图，并另外考虑了该地区的人为暴露和总体脆弱性。结果表明，最易受影响的地区位于盆地的西部和西南地区。基于GIS的分析和EO数据的协同使用可以为设计高度易受风险滑坡风险地区影响的自然灾害预防政策提供有用的工具。