Abstract. The study presents a detailed photogrammetric analysis of the evolution of the Belvedere Glacier over the periods 2009–2017 and 2017–2023, with particular focus on the impact of the debris flow triggered by the flood event of August 27, 2023. High-resolution Pléiades and Pléiades Neo satellite imagery was used to generate point clouds and Digital Elevation Models, enabling the quantification of altimetric and volumetric changes and a detailed assessment of the morphological modifications caused by the debris flow. The results show a recent significant glacier retreat, with an average annual volume loss of 2.3 × 10⁶ m³/year between 2009 and 2017, increasing to 2.7 × 10⁶ m³/year between 2017 and 2023. The 2023 debris flow produced marked morphological changes, including the formation of two accumulation zones on the western tongue and the development of two erosional channels approximately 4–5 meters deep. These channels resulted from the new course of the Castelfranco Stream, which incised directly into the glacier surface. Overall, the findings confirm trends reported in previous studies on the Belvedere Glacier and other Alpine glaciers, highlighting the importance and advantages of satellite-based monitoring for assessing the impacts of climate change and extreme events on glacier dynamics.
F. Ioli, Luca Cerina, Alberto Cina et al.· The International Archives o...· 0 citations
Abstract. Aging bridge infrastructure requires efficient, network-scale monitoring, especially in remote areas where traditional in-situ sensors are costly and logistically challenging. This paper presents a remote sensing framework for structural health monitoring based on spaceborne Synthetic Aperture Radar (SAR). The approach combines Persistent Scatterer Interferometry (PSI) and Least Squares Collocation (LSC), implemented through the PHASE open-source MATLAB software, to derive a millimeter-level spatio-temporal displacement model. The methodology is applied to a reinforced-concrete viaduct in the Alpine foothills of Lombardy, Italy, using five years of Copernicus Sentinel-1 data. A custom elevation-based spatial filtering strategy enables the isolation of structural displacements from the surrounding topography. The resulting spatio-temporal displacement model captures the expected seasonal thermal behavior of the structure and highlights localized deviations from the dominant cyclic response. Finally, the SAR-derived model is integrated with UAV photogrammetry and official inspection reports within the P.O.N.T.I. 3D viewer. This multi-source, Digital Twin-like environment facilitates the joint interpretation of remote sensing observations and in-situ evidence, providing a scalable framework to support infrastructure monitoring and management.
Roberto Monti, F. Gaspari, Rohollah Naeijian et al.· The International Archives o...· 0 citations
