Deep-seated Gravitational Slope Deformations (DsGSDs) are huge slow-moving phenomena highly widespread in Alpine regions. Although very slow, the long-lasting evolution by progressive failure of these phenomena can represent a significant geo-hazard affecting human settlements and large anthropic infrastructures. DsGSDs behavior may also feature distinct deformation sectors, showing spatial and temporal heterogeneity, evidenced by distinct morpho-structural lineaments, differential rock mass strength degradation, and the presence of secondary landslides. An in-depth characterization of these phenomena is required to evaluate their impact on the main anthropic elements in land use planning and risk assessment perspectives. Notoriously, A-DInSAR techniques have proven to be highly suitable to spatially and temporally characterize ground deformation displacement of these very-slow phenomena. In this study, a local-scale characterization of two DsGSDs located in the alpine region Aosta Valley, i.e. the Croix de Fana and the Valtournenche cases, is provided by exploiting the morpho-structural domains application. Combining several datasets, i.e. COSMO-SkyMed and Sentinel-1 processed through a two-step strategy exploiting the Small Baseline and the Differential Tomographic approaches, a methodology aimed to recognize the most active sectors of DsGSDs and their evolution over time is implemented. The morpho-structural domains delineation allows identifying the different kinematic domains within each DsGSD, also considering associated secondary landslides and other local shallow movements. Utilizing open source GIS software and plug-in, the VLOS, Vslope, and East-West and Vertical values are interpolated, testing several interpolation parameters and constrained by specific barriers. Such boundaries were previously identified on account of geomorphological and morpho-structural settings analysis. The proposed methodology allows to aggregate multi-temporal A-DInSAR ground deformation data by specific boundary, based on geomorphological and structural constrains, by obtaining spatial and temporal deformation maps. This methodology provides an effective tool for a rapid and remotely definition of DsGSDs behavior, useful for a more suitable land use planning and impact assessment along the main anthropic elements. This research was carried out in the ASI contract n. 2021-10-U.0 CUP F65F21000630005 MEFISTO, within which COSMO-SkyMed and SAOCOM data have been provided by ASI under license to use agreements.
Enhanced Deep-seated Gravitational Slope Deformation investigation through spatial and temporal characterization of morpho-structural domains: the Croix de Fana and Valtournenche cases, Aosta Valley, Italy
Cignetti M;Cardone D;Notti D;Godone D;Verde S;Reale D;Fornaro G;Giordan D
2022
Abstract
Deep-seated Gravitational Slope Deformations (DsGSDs) are huge slow-moving phenomena highly widespread in Alpine regions. Although very slow, the long-lasting evolution by progressive failure of these phenomena can represent a significant geo-hazard affecting human settlements and large anthropic infrastructures. DsGSDs behavior may also feature distinct deformation sectors, showing spatial and temporal heterogeneity, evidenced by distinct morpho-structural lineaments, differential rock mass strength degradation, and the presence of secondary landslides. An in-depth characterization of these phenomena is required to evaluate their impact on the main anthropic elements in land use planning and risk assessment perspectives. Notoriously, A-DInSAR techniques have proven to be highly suitable to spatially and temporally characterize ground deformation displacement of these very-slow phenomena. In this study, a local-scale characterization of two DsGSDs located in the alpine region Aosta Valley, i.e. the Croix de Fana and the Valtournenche cases, is provided by exploiting the morpho-structural domains application. Combining several datasets, i.e. COSMO-SkyMed and Sentinel-1 processed through a two-step strategy exploiting the Small Baseline and the Differential Tomographic approaches, a methodology aimed to recognize the most active sectors of DsGSDs and their evolution over time is implemented. The morpho-structural domains delineation allows identifying the different kinematic domains within each DsGSD, also considering associated secondary landslides and other local shallow movements. Utilizing open source GIS software and plug-in, the VLOS, Vslope, and East-West and Vertical values are interpolated, testing several interpolation parameters and constrained by specific barriers. Such boundaries were previously identified on account of geomorphological and morpho-structural settings analysis. The proposed methodology allows to aggregate multi-temporal A-DInSAR ground deformation data by specific boundary, based on geomorphological and structural constrains, by obtaining spatial and temporal deformation maps. This methodology provides an effective tool for a rapid and remotely definition of DsGSDs behavior, useful for a more suitable land use planning and impact assessment along the main anthropic elements. This research was carried out in the ASI contract n. 2021-10-U.0 CUP F65F21000630005 MEFISTO, within which COSMO-SkyMed and SAOCOM data have been provided by ASI under license to use agreements.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
