Articles | Volume 19, issue 9
https://doi.org/10.5194/tc-19-3493-2025
https://doi.org/10.5194/tc-19-3493-2025
Research article
 | 
04 Sep 2025
Research article |  | 04 Sep 2025

Optimizing rock glacier activity classification in South Tyrol (northeastern Italy): integrating multisource data with statistical modelling

Chiara Crippa, Stefan Steger, Giovanni Cuozzo, Francesca Bearzot, Volkmar Mair, and Claudia Notarnicola

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Rapid regional assessment of rock glacier activity based on DInSAR wrapped phase signal
Federico Agliardi, Chiara Crippa, Daniele Codara, and Federico Franzosi
EGUsphere, https://doi.org/10.5194/egusphere-2024-1589,https://doi.org/10.5194/egusphere-2024-1589, 2024
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Cited articles

Agliardi, F., Crippa, C., Codara, D., and Franzosi, F.: Rapid regional assessment of rock glacier activity based on DInSAR wrapped phase signal, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-1589, 2024. 
Akaike, H.: A new look at the statistical model identification, IEEE T. Automat. Contr., 19, 716–723, https://doi.org/10.1109/TAC.1974.1100705, 1974. 
Apaloo, J., Brenning, A., and Bodin, X.: Interactions between seasonal snow cover, ground surface temperature and topography (Andes of Santiago, Chile, 33.5° S), Permafrost Periglac., 23, 277–291, https://doi.org/10.1002/ppp.1753, 2012. 
Apley, D. W. and Zhu, J.: Visualizing the effects of predictor variables in black box supervised learning models, J. R. Stat. Soc. B, 82, 1059–1086, https://doi.org/10.1111/rssb.12377, 2020. 
Arenson, L. U. and Jakob, M.: Permafrost-related geohazards and infrastructure construction in mountainous environments, Oxf. Res. Encycl. Nat. Hazard Sci., 30, https://doi.org/10.1093/acrefore/9780199389407.013.292, 2017. 
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Short summary
Our study, focused on South Tyrol (NE Italy), develops an updated and comprehensive activity classification system for all rock glaciers in the current regional inventory. Using multisource products, we integrate climatic, morphological, and  differential interferometric synthetic aperture radar (DInSAR) data in replicable routines and multivariate statistical methods, producing a comprehensive classification based on the updated Rock Glacier Inventories and Kinematic (RGIK) 2023 guidelines. Results leave only 3.5 % of the features non-classified, as opposed to 13–18.5 % in previous studies.
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