Abstract
Slope deformation is one of the typical geohazards that causes an extensive economic damage in mountainous regions. As such, they are usually intensively monitored by means of modern expertise commonly by national geological or emergency services. Resulting landslide susceptibility maps, or landslide inventories, offer an overview of areas affected by previously activated landslides as well as slopes known to be unstable currently. Current slope instabilities easily transform into a landslide after various triggering factors, such as an intensive rainfall or a melting snow cover. In these inventories, the majority of the existing landslide-affected slopes are marked as either stable or active, after a continuous investigative work of the experts in geology. In this paper we demonstrate the applicability of Sentinel-1A satellite SAR interferometry (InSAR) to assist by identifying slope movement activity and use the information to update national landslide inventories. This can be done reliably in cases of semi-arid regions or low vegetated slopes. We perform several analyses based on multitemporal InSAR techniques of Sentinel-1A data over selected areas prone to landslides.
Highlights
1.1 Current practices in landslide inventory mapsLandslides are present in all continents, and play an important role in the evolution of landscapes
Preparing landslide maps is important to document the extent of landslide phenomena in a region, to investigate the distribution, types, pattern, recurrence and statistics of slope failures, to determine landslide susceptibility, hazard, vulnerability and risk, and to study the evolution of landscapes dominated by mass-wasting processes
Since the deformation phenomena is persistent over recent days and the area is under vital monitoring efforts, this underlines the operational capability of S-1A observations for routine updates of active landslide maps
Summary
Landslides are present in all continents, and play an important role in the evolution of landscapes. Landslide inventory maps are produced using conventional methods like geomorphological field mapping and the visual interpretation of stereoscopic aerial photographs, and new moderm techniques. These new and recent methods include the use of very-high resolution digital elevation models (DEMs) as the obtained from LIDAR technology, and the interpretation and analysis of images from passive and active remote sensing techniques. Landslides were detected and analyzed using various SAR data and techniques and supplemented with optical data, demonstrating the potential to use remote sensing data to detect, monitor and analyze mass movement activity
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