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Landslide mapping is one of the most important steps which take place in the early stages of a landslide survey, contributing to the immediate assessment of slide’s effects. Nowadays in this direction, different remote sensing techniques have been developed providing effective results. This work deals with the exploitation of optical data as well as radar data aiming at the mapping of a landslide area located in Western Macedonia, Greece. The landslide occurred in June 2017 at the lignite open pit mine of Aminteo. In that context Sentinel-1, Sentinel-2 and Landsat-8 data were acquired in order to be processed appropriately for the imprinting of disturbed areas. In particular, Sentinel-1 images before and after the landslide were processed interferometrically, yielding to the estimation of vertical displacements. Concerning optical data, the images were submitted to diverse digital processing techniques the results were visualized in GIS environment. The derived results were compared and evaluated for their accuracy and identification. It is worth mentioning that the specific methodology may also be applied to more extensive landslides or landslides triggered by different factors. Additionally, it could be assumed that the methodology can be applied to mass movements as a result of earthquakes.

Landslides are recognized as one of the most damaging natural hazards in Western Greece due to the complex geological structure, the intense precipitation and the high seismicity. In that context, the development of low-cost, semiautomatic, monitoring methodologies based on satellite data is a necessity in order to prevent and mitigate the landslide risk and decrease the damages in a future reactivation. The current study focuses on the application of three different processing methodologies on Sentinel-1 data: (a) interferogram generation, (b) comparison of interferometric Digital Surface Model (DSM) before and after the landslide event and (c) another processing technique called “offset tracking”. The selection of Sentinel-1 data was based on the fact that the specific mission provides timely, freely accessible data, with satisfactory spatial resolution for repeated earth observation. The study area is located almost 20 km south of the city of Patras near to the Village Moira. The landslide with a total length of 300 m and a head width of 330 m is being investigating by repeated field campaigns and Global Navigation Satellite System measurements, and thus, the derived results from the Synthetic Aperture Radar (SAR) data processing were evaluated with the in situ measurements.

This study presents the synergy of multidisciplinary surveys for the monitoring of an active landslide in Western Greece. The aim of this paper is to highlight and validate a methodology based on multiple sensors data integration which can successfully be used to manage natural disasters or to improve the knowledge of a specific phenomenon in order to prevent and mitigate the risk. Photogrammetric and interferometric processing has been applied to a complex set of remote sensing data such as high resolution satellite images, digital airphotos, aerial photos acquired from an Unmanned Aerial Vehicle and radar data. Global Navigation Satellite System measurements and continuous inclinometer measurements are being performed. The multifunctional technology of Geographic Information Systems is used in order to collect, storage, manage, process, analyze and cartographically represent the previously described complex geoscientific information.