Glacier surfaces are highly heterogeneous mixtures of ice, snow, light-absorbing impurities and debris material. The spatial and temporal variability of these components affects ice surface characteristics and strongly influences glacier energy and mass balance. Remote sensing offers a unique opportunity to characterize glacier optical and thermal properties, enabling a better understanding of different processes occurring at the glacial surface. In this study, we evaluate the potential of optical and thermal data collected from field and drone platforms to map the abundances of predominant glacier surfaces (i.e., snow, clean ice, melting ice, dark ice, cryoconite, dusty snow and debris cover) on the Zebrù glacier in the Italian Alps. The drone surveys were conducted on the ablation zone of the glacier on 29 and 30 July 2020, corresponding to the middle of the ablation season. We identified very high heterogeneity of surface types dominated by melting ice (30% of the investigated area), dark ice (24%), clean ice (19%) and debris cover (17%). The surface temperature of debris cover was inversely related to debris-cover thickness. This relation is influenced by the petrology of debris cover, suggesting the importance of lithology when considering the role of debris over glaciers. Multispectral and thermal drone surveys can thus provide accurate high-resolution maps of different snow and ice types and their temperature, which are critical elements to better understand the glacier’s energy budget and melt rates.

Rossini, M., Garzonio, R., Panigada, C., Tagliabue, G., Bramati, G., Vezzoli, G., et al. (2023). Mapping Surface Features of an Alpine Glacier through Multispectral and Thermal Drone Surveys. REMOTE SENSING, 15(13), 1-23 [10.3390/rs15133429].

Mapping Surface Features of an Alpine Glacier through Multispectral and Thermal Drone Surveys

Rossini M.
Primo
;
Garzonio R.;Panigada C.;Bramati G.;Vezzoli G.;Cogliati S.;Colombo R.;Di Mauro B.
2023

Abstract

Glacier surfaces are highly heterogeneous mixtures of ice, snow, light-absorbing impurities and debris material. The spatial and temporal variability of these components affects ice surface characteristics and strongly influences glacier energy and mass balance. Remote sensing offers a unique opportunity to characterize glacier optical and thermal properties, enabling a better understanding of different processes occurring at the glacial surface. In this study, we evaluate the potential of optical and thermal data collected from field and drone platforms to map the abundances of predominant glacier surfaces (i.e., snow, clean ice, melting ice, dark ice, cryoconite, dusty snow and debris cover) on the Zebrù glacier in the Italian Alps. The drone surveys were conducted on the ablation zone of the glacier on 29 and 30 July 2020, corresponding to the middle of the ablation season. We identified very high heterogeneity of surface types dominated by melting ice (30% of the investigated area), dark ice (24%), clean ice (19%) and debris cover (17%). The surface temperature of debris cover was inversely related to debris-cover thickness. This relation is influenced by the petrology of debris cover, suggesting the importance of lithology when considering the role of debris over glaciers. Multispectral and thermal drone surveys can thus provide accurate high-resolution maps of different snow and ice types and their temperature, which are critical elements to better understand the glacier’s energy budget and melt rates.
Articolo in rivista - Articolo scientifico
albedo; classification; debris thickness; drone; glacier; multispectral; temperature;
English
6-lug-2023
2023
15
13
1
23
3429
open
Rossini, M., Garzonio, R., Panigada, C., Tagliabue, G., Bramati, G., Vezzoli, G., et al. (2023). Mapping Surface Features of an Alpine Glacier through Multispectral and Thermal Drone Surveys. REMOTE SENSING, 15(13), 1-23 [10.3390/rs15133429].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/434878
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