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The InSAR technique has been proved to be a powerful tool in order to detect, monitoring and analyse movements related to geological phenomena. Its application ranges from regional/national scale to a very detailed scale, up to a single building analysis. Moreover, since 2014, the free and constant availability of Sentinel-1 data has been helping the tendency of using more and more this technique in the institutional risk management activities. Many European and national projects have been financed in order to investigate and improve the processing performances and broaden the operational use and application of the results. In this work, we present the first results developed in the framework of the project Riskcoast (SOE3/P4/E0868) over an area of around 4 km 2 in Andalucía (Spain), including the city and the coast of Granada. Riskcoast has been funded by the Interreg Sudoe Programme through the European Regional Development Fund (ERDF). The presented work is as an example of multi scale (medium to large) application of InSAR for geohazard applications. The velocity map including the estimation of the displacement time series have been produced over the whole area by processing 139 radar images of the Sentinel-1 (A and B). Starting from those results a rapid and semi-automatic extraction of the most significant active displacement areas (ADA) has been performed. Then, after a classification of the detected areas, a more detailed analysis has been done over some selected costal landslides. Over those landslides a damage mapping has been generated based on field surveys, and then analysed together with the spatial gradient of displacement derived by the InSAR results. The Riskcoast project will be introduced and the first results presented. Powered by TCPDF (

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Due to the active improvement of the technology for receiving and processing remote sensing data, the areas of practical application of remote methods have significantly expanded for studying and monitoring natural disasters caused by exogenous geological processes. Among these processes landslides are widespread and lead to loss of life and significant damage. The paper provides an overview and comparative assessment of the latest foreign and Russian landslide studies conducted using various remote sensing data (multispectral, thermal, radar, lidar, obtained from satellite, manned and unmanned aerial vehicle) and their advanced processing techniques for the detection, inventory, mapping of landslides, developing of landslide susceptibility maps, landslide hazard analysis, as well as landslide monitoring at a range of scales. The factors that cause landslides are analyzed. It is noted that the analysis of remote sensing data should be carried out on the basis of GIS in combination with landscape, topographic, geological, geophysical and field data, as well as on the basis of mathematical models created using statistical methods, including machine learning methods. The state of the art and prospects of remote sensing methods in landslide studies are characterized. © 2021 Space Research Institute of the Russian Academy of Sciences. All rights reserved.
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