The Cryosphere
The Cryosphere
TC
Articles | Volume 13, issue 12
Articles | Volume 13, issue 12
https://doi.org/10.5194/tc-13-3225-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-13-3225-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 12
Research article
 | 
04 Dec 2019
Research article |  | 04 Dec 2019

Where are the avalanches? Rapid SPOT6 satellite data acquisition to map an extreme avalanche period over the Swiss Alps

Yves Bühler, Elisabeth D. Hafner, Benjamin Zweifel, Mathias Zesiger, and Holger Heisig

Related authors

Simulation of cold powder avalanches considering daily snowpack and weather situations to enhance road safety
Julia Glaus, Katreen Wikstrom Jones, Perry Bartelt, Marc Christen, Lukas Stoffel, Johan Gaume, and Yves Bühler
EGUsphere, https://doi.org/10.5194/egusphere-2024-771,https://doi.org/10.5194/egusphere-2024-771, 2024
Short summary
Monitoring snow depth variations in an avalanche release area using low cost LiDAR and optical sensors
Pia Ruttner-Jansen, Annelies Voordendag, Thierry Hartmann, Julia Glaus, Andreas Wieser, and Yves Bühler
EGUsphere, https://doi.org/10.5194/egusphere-2024-744,https://doi.org/10.5194/egusphere-2024-744, 2024
Short summary
Interactive Snow Avalanche Segmentation from Webcam Imagery: results, potential and limitations
Elisabeth Doris Hafner, Theodora Kontogianni, Rodrigo Caye Daudt, Lucien Oberson, Jan Dirk Wegner, Konrad Schindler, and Yves Bühler
EGUsphere, https://doi.org/10.5194/egusphere-2024-498,https://doi.org/10.5194/egusphere-2024-498, 2024
Short summary
Avalanche size estimation and avalanche outline determination by experts: reliability and implications for practice
Elisabeth D. Hafner, Frank Techel, Rodrigo Caye Daudt, Jan Dirk Wegner, Konrad Schindler, and Yves Bühler
Nat. Hazards Earth Syst. Sci., 23, 2895–2914, https://doi.org/10.5194/nhess-23-2895-2023,https://doi.org/10.5194/nhess-23-2895-2023, 2023
Short summary
Spatially continuous snow depth mapping by aeroplane photogrammetry for annual peak of winter from 2017 to 2021 in open areas
Leon J. Bührle, Mauro Marty, Lucie A. Eberhard, Andreas Stoffel, Elisabeth D. Hafner, and Yves Bühler
The Cryosphere, 17, 3383–3408, https://doi.org/10.5194/tc-17-3383-2023,https://doi.org/10.5194/tc-17-3383-2023, 2023
Short summary
More articles (27)

Related subject area

Discipline: Snow | Subject: Natural Hazards
Snow mechanical property variability at the slope scale – implication for snow mechanical modelling
Francis Meloche, Francis Gauthier, and Alexandre Langlois
The Cryosphere, 18, 1359–1380, https://doi.org/10.5194/tc-18-1359-2024,https://doi.org/10.5194/tc-18-1359-2024, 2024
Short summary
Combining modelled snowpack stability with machine learning to predict avalanche activity
Léo Viallon-Galinier, Pascal Hagenmuller, and Nicolas Eckert
The Cryosphere, 17, 2245–2260, https://doi.org/10.5194/tc-17-2245-2023,https://doi.org/10.5194/tc-17-2245-2023, 2023
Short summary
Can Saharan dust deposition impact snowpack stability in the French Alps?
Oscar Dick, Léo Viallon-Galinier, François Tuzet, Pascal Hagenmuller, Mathieu Fructus, Benjamin Reuter, Matthieu Lafaysse, and Marie Dumont
The Cryosphere, 17, 1755–1773, https://doi.org/10.5194/tc-17-1755-2023,https://doi.org/10.5194/tc-17-1755-2023, 2023
Short summary
A closed-form model for layered snow slabs
Philipp Weißgraeber and Philipp L. Rosendahl
The Cryosphere, 17, 1475–1496, https://doi.org/10.5194/tc-17-1475-2023,https://doi.org/10.5194/tc-17-1475-2023, 2023
Short summary
A random forest model to assess snow instability from simulated snow stratigraphy
Stephanie Mayer, Alec van Herwijnen, Frank Techel, and Jürg Schweizer
The Cryosphere, 16, 4593–4615, https://doi.org/10.5194/tc-16-4593-2022,https://doi.org/10.5194/tc-16-4593-2022, 2022
Short summary
More articles (12)

Cited articles

Abermann, J., Eckerstorfer, M., Malnes, E., and Hansen, B. U.: A large wet snow avalanche cycle in West Greenland quantified using remote sensing and in situ observations, Nat. Hazards, 97, 517–534, https://doi.org/10.1007/s11069-019-03655-8, 2019. 
Bebi, P., Kulakowski, D., and Rixen, C.: Snow avalanche disturbances in forest ecosystems – State of research and implications for management, Forest Ecol. Manag., 257, 1883–1892, https://doi.org/10.1016/j.foreco.2009.01.050, 2009. 
Bozzini, C., Conedera, M., and Krebs, P.: A New Monoplotting Tool to Extract Georeferenced Vector Data and Orthorectified Raster Data from Oblique Non-Metric Photographs, Int. J. Herit. Digital Era, 1, 499–518, https://doi.org/10.1260/2047-4970.1.3.499, 2012. 
Bozzini, C., Conedera, M., and Krebs, P.: A NEW TOOL FOR FACILITATING THE RETRIEVAL AND RECORDING OF THE PLACE NAME CULTURAL HERITAGE, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W2, 115–118, https://doi.org/10.5194/isprsarchives-XL-5-W2-115-2013, 2013. 
Bühler, Y., Hüni, A., Christen, M., Meister, R., and Kellenberger, T.: Automated detection and mapping of avalanche deposits using airborne optical remote sensing data, Cold Reg. Sci. Technol., 57, 99–106, https://doi.org/10.1016/j.coldregions.2009.02.007, 2009. 
More articles (30)
Download
Short summary
We manually map 18 737 avalanche outlines based on SPOT6 optical satellite imagery acquired in January 2018. This is the most complete and accurate avalanche documentation of a large avalanche period covering a big part of the Swiss Alps. This unique dataset can be applied for the validation of other remote-sensing-based avalanche-mapping procedures and for updating avalanche databases to improve hazard maps.
Read more