| Περίληψη: | Landslides constitute one of the most widespread natural disasters with severe and devastating consequences for both human beings and the environment worldwide. In the upcoming years more, and more landslides are expected and thus researchers are trying to develop methodologies, practices and plans towards ensuring safety and reducing risk. The enormous progress and diversity of remote sensing technologies has significantly enhanced scientific capabilities for landslide mapping and monitoring. The specific thesis aims to provide knowledge regarding landslide mapping and monitoring using low cost remote sensing data, Global Navigation Satellite System (GNSS) measurements and GIS methods. In that context, a variety of different remote sensing data, including Synthetic Aperture Radar (SAR) imagery, multispectral imagery, Unmanned Aerial Vehicles (UAV) imagery, Terrestrial Laser Scanning (TLS) point clouds were obtained and processed appropriately. Remote sensing data were supported by the execution of GNSS measurements, while multiple GIS methods were implemented. Four areas of instability with diverse characteristics (area, topography, lithology, mechanism of failure etc.) were selected as case studies. A different combination of remote sensing data was selected for each case study in order to identify the most appropriate type for landslide mapping and monitoring. The assessment of the results revealed that a multidisciplinary use of various remote sensing data and techniques could contribute to a more comprehensive landslide investigation. Moreover, an attempt for the establishment of a guide on the proper selection of remote sensing data in accordance to the characteristics of the landslide (size, volume, topography etc.) was carried out.
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