Articles | Volume 16, issue 7
https://doi.org/10.5194/essd-16-3283-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-3283-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
17 Jul 2024
Data description article |
| 17 Jul 2024
| 17 Jul 2024
Multitemporal characterization of a proglacial system: a multidisciplinary approach
Elisabetta Corte
CORRESPONDING AUTHOR
Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, 10129 Turin, Italy
Andrea Ajmar
Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino, 10125 Turin, Italy
Carlo Camporeale
Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, 10129 Turin, Italy
Alberto Cina
Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, 10129 Turin, Italy
Velio Coviello
Research Institute for Geo-Hydrological Protection, Italian National Research Council (CNR), 35127 Padua, Italy
deceased
Fabio Giulio Tonolo
Department of Architecture and Design, Politecnico di Torino, 10125 Turin, Italy
Alberto Godio
Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, 10129 Turin, Italy
Myrta Maria Macelloni
Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, 10129 Turin, Italy
Stefania Tamea
Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, 10129 Turin, Italy
Andrea Vergnano
Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, 10129 Turin, Italy
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIX-B5-2026, 3–8, https://doi.org/10.5194/isprs-archives-XLIX-B5-2026-3-2026, https://doi.org/10.5194/isprs-archives-XLIX-B5-2026-3-2026, 2026
Andrea Demartis, Fabio Giulio Tonolo, and Andrea Ajmar
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIX-B3-2026, 1263–1270, https://doi.org/10.5194/isprs-archives-XLIX-B3-2026-1263-2026, https://doi.org/10.5194/isprs-archives-XLIX-B3-2026-1263-2026, 2026
Francesco Ioli, Luca Cerina, Alberto Cina, and Livio Pinto
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIX-B2-2026, 429–436, https://doi.org/10.5194/isprs-archives-XLIX-B2-2026-429-2026, https://doi.org/10.5194/isprs-archives-XLIX-B2-2026-429-2026, 2026
Lorenzo Teppati Losè, Filiberto Chiabrando, and Fabio Giulio Tonolo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIX-B2-2026, 901–908, https://doi.org/10.5194/isprs-archives-XLIX-B2-2026-901-2026, https://doi.org/10.5194/isprs-archives-XLIX-B2-2026-901-2026, 2026
Myrta Maria Macelloni, Nives Grasso, and Alberto Cina
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIX-B2-2026, 1067–1073, https://doi.org/10.5194/isprs-archives-XLIX-B2-2026-1067-2026, https://doi.org/10.5194/isprs-archives-XLIX-B2-2026-1067-2026, 2026
Cesare Comina, Andrea Vergnano, Alessandro Arato, Emanuele Duò, Mario Naldi, Dario Chieppa, and Valentina Socco
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2026-32, https://doi.org/10.5194/essd-2026-32, 2026
Preprint under review for ESSD
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We present a dataset of a 4 km geophysical survey, executed with a moving system approach, along a river embankment. Data acquisition strategies are discussed and preliminary data analyses are presented. The survey demonstrated the potentiality of the proposed acquisition approach in investigating river embankments. The dataset will be an ideal playground to benchmark alternative interpretation approaches and enable an advancement in the state-of-the-art of these characterization methodologies.
Andrea Vergnano, Diego Franco, and Alberto Godio
The Cryosphere, 19, 6965–6988, https://doi.org/10.5194/tc-19-6965-2025, https://doi.org/10.5194/tc-19-6965-2025, 2025
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We used radar to measure ice thickness in mountain glaciers, but signal scattering makes it challenging when the ice is temperate or warm. Radar surveys of Rutor Glacier were inaccurate, so we used computer models to estimate its thickness better. Comparing estimates from computer models with radar measurements gave us a more accurate map, revealing more ice than previously thought. This combined method can improve future ice surveys and planning.
Emanuele Mombrini, Stefania Tamea, Alberto Viglione, and Roberto Revelli
Hydrol. Earth Syst. Sci., 29, 2255–2273, https://doi.org/10.5194/hess-29-2255-2025, https://doi.org/10.5194/hess-29-2255-2025, 2025
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In northwestern Italy, overall drought conditions appear to have worsened over the last 60 years due to both precipitation deficits and increased evapotranspiration caused by temperature increases. In addition to changes in drought conditions, changes in the characteristics of drought periods, both at a local and at a region-wide level, are found. Links between all the aforementioned changes and terrain characteristics are highlighted, finding generally worse conditions in lower-lying areas.
Francesca Pace, Andrea Vergnano, Alberto Godio, Gerardo Romano, Luigi Capozzoli, Ilaria Baneschi, Marco Doveri, and Alessandro Santilano
Earth Syst. Sci. Data, 16, 3171–3192, https://doi.org/10.5194/essd-16-3171-2024, https://doi.org/10.5194/essd-16-3171-2024, 2024
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We present the geophysical data set acquired close to Ny-Ålesund (Svalbard islands) for the characterization of glacial and hydrological processes and features. The data have been organized in a repository that includes both raw and processed (filtered) data and some representative results of 2D models of the subsurface. This data set can foster multidisciplinary scientific collaborations among many disciplines: hydrology, glaciology, climatology, geology, geomorphology, etc.
A. B. Marra, M. L. B. T. Galo, F. Giulio Tonolo, E. E. Sano, and V. S. W. Orlando
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1459–1465, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1459-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1459-2023, 2023
G. Patrucco, P. Bambridge, F. Giulio Tonolo, J. Markey, and A. Spanò
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-2-2023, 1173–1180, https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-1173-2023, https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-1173-2023, 2023
M. M. Macelloni, A. Cina, N. Grasso, and U. Morra di Cella
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W3-2023, 165–171, https://doi.org/10.5194/isprs-archives-XLVIII-2-W3-2023-165-2023, https://doi.org/10.5194/isprs-archives-XLVIII-2-W3-2023-165-2023, 2023
F. Ioli, E. Bruno, D. Calzolari, M. Galbiati, A. Mannocchi, P. Manzoni, M. Martini, A. Bianchi, A. Cina, C. De Michele, and L. Pinto
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-1-2023, 137–144, https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-137-2023, https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-137-2023, 2023
Andreas Schimmel, Velio Coviello, and Francesco Comiti
Nat. Hazards Earth Syst. Sci., 22, 1955–1968, https://doi.org/10.5194/nhess-22-1955-2022, https://doi.org/10.5194/nhess-22-1955-2022, 2022
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The estimation of debris flow velocity and volume is a fundamental task for the development of early warning systems and other mitigation measures. This work provides a first approach for estimating the velocity and the total volume of debris flows based on the seismic signal detected with simple, low-cost geophones installed along the debris flow channel. The developed method was applied to seismic data collected at three test sites in the Alps: Gadria and Cancia (IT) and Lattenbach (AT).
G. Patrucco, F. Giulio Tonolo, G. Sammartano, and A. Spanò
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 399–406, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-399-2022, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-399-2022, 2022
L. Teppati Losè, F. Matrone, F. Chiabrando, F. Giulio Tonolo, A. Lingua, and P. Maschio
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 415–422, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-415-2022, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-415-2022, 2022
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Short summary
The study presents a set of multitemporal geospatial surveys and the continuous monitoring of water flows in a large proglacial area (4 km2) of the northwestern Alps. Activities were developed using a multidisciplinary approach and merge geomatic, hydraulic, and geophysical methods. The goal is to allow researchers to characterize, monitor, and model a number of physical processes and interconnected phenomena, with a broader perspective and deeper understanding than a single-discipline approach.
The study presents a set of multitemporal geospatial surveys and the continuous monitoring of...
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