Landslide Susceptibility Mapping of Central and Western Greece, Combining NGI and WoE Methods, with Remote Sensing and Ground Truth Data

The exploitation of remote sensing techniques has substantially improved pre- and post- disaster landslide management over the last decade. A variety susceptibility methods exists, with capabilities limitations related to scale spatial accuracy issues, as well data availability. Interferometric Synthetic Aperture Radar (InSAR) have significantly contributed detection, monitoring, mapping phenomena. present study aims point out contribution InSAR in detection evaluate two different models by comparing a heuristic statistical method for rainfall-induced hazard assessment. Aiming include areas both high low occurrence frequencies, area covers large part Aetolia–Acarnania Evritania prefectures, Central Western Greece. product provided from weights evidence (WoE) proved more accurate, benefitting expert opinion inventory. On other hand, Norwegian Geological Institute (NGI) methodology edge on its immediate implementation, minimum requirements. Finally, it was that using sequential SAR image acquisitions gives benefit an updated inventory, resulting generation of, request, maps.