Articles | Volume 26, issue 7
https://doi.org/10.5194/nhess-26-3107-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-26-3107-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Automated dock-based UAV systems for geohazard monitoring in mountainous terrain
Alexander Maschler
CORRESPONDING AUTHOR
Department of Civil Engineering and Environmental Sciences, Western Norway University of Applied Sciences, Sogndal, Norway
Sarah Langes
Department of Civil Engineering and Environmental Sciences, Western Norway University of Applied Sciences, Sogndal, Norway
Lukas Schild
Department of Civil Engineering and Environmental Sciences, Western Norway University of Applied Sciences, Sogndal, Norway
Thomas Scheiber
Department of Civil Engineering and Environmental Sciences, Western Norway University of Applied Sciences, Sogndal, Norway
Paula Snook
Department of Civil Engineering and Environmental Sciences, Western Norway University of Applied Sciences, Sogndal, Norway
Jacob Clement Yde
Department of Civil Engineering and Environmental Sciences, Western Norway University of Applied Sciences, Sogndal, Norway
Harald Zandler
Department of Geography and Regional Science, University of Graz, Graz, Austria
Ueli Sager
Remote Vision, Herisau, Switzerland
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EGUsphere, https://doi.org/10.5194/egusphere-2026-1796, https://doi.org/10.5194/egusphere-2026-1796, 2026
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
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We developed a transparent machine learning model that forecasts rainfall-triggered landslides from satellite rain data. It matches the accuracy of complex models while staying easy to understand, and keeps missed warnings low. We also introduce simple visual thresholds to help decision-makers use the predictions. This is needed, for example, for Early Warning Systems, where it is extremely helpful to understand the models' predictions.
Lea Hartl, Jakob Abermann, Ayla Akgün, Giulia Bertolotti, Tobias Bolch, Svenja Conzelmann, Codrut-Andrei Diaconu, Iris Hansche, Anne Hartig, Anna Haut, Kay Helfricht, Bernhard Hynek, Marie Sophie Kaucher, Andreas Kellerer-Pirklbauer, Ann Christin Kogel, Julie Krippes, Marcela Violeta Lauria, Christoph Mayer, Jan-Christoph Otto, Rainer Prinz, Sina Prölß, Lorenzo Rieg, Lea Schönleber, Gabriele Schwaizer, Bernd Seiser, Martin Stocker-Waldhuber, Markus Strudl, Martin Verhounik, and Harald Zandler
EGUsphere, https://doi.org/10.5194/egusphere-2026-1241, https://doi.org/10.5194/egusphere-2026-1241, 2026
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We mapped glacier outlines in Austria using recent, high resolution imagery. The resulting glacier inventory provides an update on glacier area in Austria in 2021-2023. More than 30% of glacier area was lost and 95 glaciers have disappeared since the mid-2000s. Glacier recession is accelerating and regular updates to glacier inventories are needed to understand downstream changes to the hydrological system, quantify glacier mass loss, and support planning and adaptation measures.
Henning Åkesson, Kamilla Hauknes Sjursen, Thomas Vikhamar Schuler, Thorben Dunse, Liss Marie Andreassen, Mette Kusk Gillespie, Benjamin Aubrey Robson, Thomas Schellenberger, and Jacob Clement Yde
The Cryosphere, 19, 5871–5902, https://doi.org/10.5194/tc-19-5871-2025, https://doi.org/10.5194/tc-19-5871-2025, 2025
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We model the historical and future evolution of the Jostedalsbreen ice cap in Norway, projecting substantial and largely irreversible mass loss for the 21st century, and that the ice cap will split into three parts. Further mass loss is in the pipeline, with a disappearance during the 22nd century under high emissions. Our study demonstrates an approach to model complex ice masses, highlights uncertainties due to precipitation, and calls for further research on long-term future glacier change.
Mette K. Gillespie, Liss M. Andreassen, Matthias Huss, Simon de Villiers, Kamilla H. Sjursen, Jostein Aasen, Jostein Bakke, Jan M. Cederstrøm, Hallgeir Elvehøy, Bjarne Kjøllmoen, Even Loe, Marte Meland, Kjetil Melvold, Sigurd D. Nerhus, Torgeir O. Røthe, Eivind W. N. Støren, Kåre Øst, and Jacob C. Yde
Earth Syst. Sci. Data, 16, 5799–5825, https://doi.org/10.5194/essd-16-5799-2024, https://doi.org/10.5194/essd-16-5799-2024, 2024
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We present an extensive ice thickness dataset from Jostedalsbreen ice cap that will serve as a baseline for future studies of regional climate-induced change. Results show that Jostedalsbreen currently (~2020) has a maximum ice thickness of ~630 m, a mean ice thickness of 154 ± 22 m and an ice volume of 70.6 ±10.2 km3. Ice of less than 50 m thickness covers two narrow regions of Jostedalsbreen, and the ice cap is likely to separate into three parts in a warming climate.
Adam Emmer, Simon K. Allen, Mark Carey, Holger Frey, Christian Huggel, Oliver Korup, Martin Mergili, Ashim Sattar, Georg Veh, Thomas Y. Chen, Simon J. Cook, Mariana Correas-Gonzalez, Soumik Das, Alejandro Diaz Moreno, Fabian Drenkhan, Melanie Fischer, Walter W. Immerzeel, Eñaut Izagirre, Ramesh Chandra Joshi, Ioannis Kougkoulos, Riamsara Kuyakanon Knapp, Dongfeng Li, Ulfat Majeed, Stephanie Matti, Holly Moulton, Faezeh Nick, Valentine Piroton, Irfan Rashid, Masoom Reza, Anderson Ribeiro de Figueiredo, Christian Riveros, Finu Shrestha, Milan Shrestha, Jakob Steiner, Noah Walker-Crawford, Joanne L. Wood, and Jacob C. Yde
Nat. Hazards Earth Syst. Sci., 22, 3041–3061, https://doi.org/10.5194/nhess-22-3041-2022, https://doi.org/10.5194/nhess-22-3041-2022, 2022
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Glacial lake outburst floods (GLOFs) have attracted increased research attention recently. In this work, we review GLOF research papers published between 2017 and 2021 and complement the analysis with research community insights gained from the 2021 GLOF conference we organized. The transdisciplinary character of the conference together with broad geographical coverage allowed us to identify progress, trends and challenges in GLOF research and outline future research needs and directions.
Iwo Wieczorek, Mateusz Czesław Strzelecki, Łukasz Stachnik, Jacob Clement Yde, and Jakub Małecki
The Cryosphere Discuss., https://doi.org/10.5194/tc-2021-364, https://doi.org/10.5194/tc-2021-364, 2022
Manuscript not accepted for further review
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Glacial lakes development around the World has been observed since the end of the Little Ice Age. The whole process is especially rapid in Arctic region what shows last researches. One of the last regions which still has not been covered by data about changes of glacial lakes is the Svalbard Archipelago (Norway). We used remote sensing materials and methods to provide information's about changes of glacial lakes and to show major activity of glacial lakes outburst floods.
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Short summary
Geohazards occur more often and at larger scale due to climate change. In this study, we used for the first time automated drone docks to monitor geohazards at 3 different sites in Norway and Switzerland. We present a monitoring workflow for automated Uncrewed Aerial Vehicle operations which can produce frequent, detailed maps showing surface change and displacement. Our results show how this approach can improve future hazard monitoring and early warning and help to protect communities at risk.
Geohazards occur more often and at larger scale due to climate change. In this study, we used...
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