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Article

Precision, Detection Limits, and Uncertainty in Multi-Temporal Geomatic Glacier Monitoring: The Rutor Glacier Case Study

by
Myrta Maria Macelloni
1,*,
Fabio Giulio Tonolo
2,
Vincenzo Di Pietra
1,
Umberto Morra di Cella
3 and
Alberto Cina
1
1
Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, 10129 Turin, Italy
2
Department of Architecture and Design, Politecnico di Torino, 10125 Turin, Italy
3
Climate Change Unit, Environmental Protection Agency of Valle d’Aosta, Loc. Grande Charrière, 48, 11020 Saint-Christophe, Italy
*
Author to whom correspondence should be addressed.
Remote Sens. 2026, 18(10), 1550; https://doi.org/10.3390/rs18101550
Submission received: 12 March 2026 / Revised: 7 May 2026 / Accepted: 10 May 2026 / Published: 13 May 2026
(This article belongs to the Section Remote Sensing in Geology, Geomorphology and Hydrology)

Abstract

Alpine glaciers are a vital resource for mountain regions. They provide water reserves, support energy production and tourism, and promote biodiversity. However, they are highly susceptible to climate change. In fact, they are recognised as being among the areas most affected by, and increasingly exposed to, natural hazards. The Rutor glacier in Aosta Valley, Italy, which has been the subject of repeated measurements since the 19th century and currently covers an area of around 8 km2, is undergoing significant and continuous retreat. It thus serves as an exemplary case study of the impact of climate change on the Italian Alps. This ongoing research has made it possible to conduct multi-temporal analysis of the glacier. Within this framework, Politecnico di Torino, in collaboration with ARPA Valle d’Aosta, has developed a multidisciplinary research approach focused on the characterisation of alpine environments. This study illustrates the geomatic workflows and derived geospatial products that can be used to carry out a 4D monitoring of the extent and volume of the Rutor Glacier and estimate its mass balance over the past six years. A specific focus of the study is the propagation of errors in multi-temporal analyses used to quantify glacier melt, with particular attention to the precision of input 3D geospatial data and to the Limit of Detection of elevation differences, ultimately enabling the estimation of the uncertainty associated with the derived quantities and their temporal trends. Finally, advantages and limitations in the multi-temporal and multi-sensor monitoring of glaciers are presented and discussed.
Keywords: glacier retreat; drone/UAV; multi-temporal glacier monitoring; Limit of Detection; mass balance; DSM; photogrammetry glacier retreat; drone/UAV; multi-temporal glacier monitoring; Limit of Detection; mass balance; DSM; photogrammetry

Share and Cite

MDPI and ACS Style

Macelloni, M.M.; Giulio Tonolo, F.; Di Pietra, V.; Morra di Cella, U.; Cina, A. Precision, Detection Limits, and Uncertainty in Multi-Temporal Geomatic Glacier Monitoring: The Rutor Glacier Case Study. Remote Sens. 2026, 18, 1550. https://doi.org/10.3390/rs18101550

AMA Style

Macelloni MM, Giulio Tonolo F, Di Pietra V, Morra di Cella U, Cina A. Precision, Detection Limits, and Uncertainty in Multi-Temporal Geomatic Glacier Monitoring: The Rutor Glacier Case Study. Remote Sensing. 2026; 18(10):1550. https://doi.org/10.3390/rs18101550

Chicago/Turabian Style

Macelloni, Myrta Maria, Fabio Giulio Tonolo, Vincenzo Di Pietra, Umberto Morra di Cella, and Alberto Cina. 2026. "Precision, Detection Limits, and Uncertainty in Multi-Temporal Geomatic Glacier Monitoring: The Rutor Glacier Case Study" Remote Sensing 18, no. 10: 1550. https://doi.org/10.3390/rs18101550

APA Style

Macelloni, M. M., Giulio Tonolo, F., Di Pietra, V., Morra di Cella, U., & Cina, A. (2026). Precision, Detection Limits, and Uncertainty in Multi-Temporal Geomatic Glacier Monitoring: The Rutor Glacier Case Study. Remote Sensing, 18(10), 1550. https://doi.org/10.3390/rs18101550

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