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A Sentinel-1 basedhot-spot analysis:landslide mapping innorth-western Italy Lorenzo SolariMatteo Del SoldatoRoberto Montalti2019 год

A Sentinel-1 based hot-spot analysis: landslide mapping in north-western Italy
статья из журнала

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Аннотация: The 6-days repeatability of Sentinel-1 constellation allows building up an interferometric stack with unprecedented velocity. Easily updatable hot-spot analyses, frequently repeated following the update of Sentinel-1 images, represent very useful tools for MTInSAR (Multi-Temporal Interferometric Synthetic Aperture Radar) data analysis. Mountain regions are a challenging environment for interferometric analyses because of their climatic, morphological and land cover characteristics. In this context, MTInSAR data can retrieve reliable information over wide areas, with high cost-benefits ratio and where the installation of ground-based devices is not feasible. Considering the well-known limitations of interferometric techniques (such as fast motions or temporal and spatial decorrelation), hot-spot analyses are a viable solution for semi-automatic ground movements extraction over mountain regions. In this work, we present an example of a hot-spot analysis applied to a large stack of MTInSAR products generated by means of SqueeSAR technique over an alpine region (Valle d’Aosta, north-western Italy). The obtained outputs allow detecting 277 moving areas connected to landslides and mass wasting processes in general. These products are intended to be implemented in the landslide risk management chain of the region, focusing on landslide state of activity definition and landslide mapping.
Год издания: 2019
Авторы: Lorenzo Solari, Matteo Del Soldato, Roberto Montalti, Silvia Bianchini, Federico Raspini, Patrick Thuegaz, Davide Bertolo, Veronica Tofani, Nicola Casagli
Издательство: Taylor & Francis
Источник: International Journal of Remote Sensing
Ключевые слова: Landslides and related hazards, Synthetic Aperture Radar (SAR) Applications and Techniques, Cryospheric studies and observations
Другие ссылки: International Journal of Remote Sensing (PDF)
International Journal of Remote Sensing (HTML)
Florence Research (University of Florence) (PDF)
Florence Research (University of Florence) (HTML)