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Monitoring of snow cover ablation using very high spatial resolution remote sensing datasets
Eker, R., Bühler, Y., Schlögl, S., Stoffel, A., & Aydın, A. (2019). Monitoring of snow cover ablation using very high spatial resolution remote sensing datasets. Remote Sensing, 11(6), 699 (20 pp.). https://doi.org/10.3390/rs11060699
Schneedecke als Wasserspeicher. Drohnen können helfen, die Abschätzungen der Schneereserven zu verbessern
Noetzli, C., Bühler, Y., Lorenzi, D., Stoffel, A., & Rohrer, M. (2019). Schneedecke als Wasserspeicher. Drohnen können helfen, die Abschätzungen der Schneereserven zu verbessern. Wasser, Energie, Luft, 111(3), 153-157.
Automated snow avalanche release area delineation – validation of existing algorithms and proposition of a new object-based approach for large-scale hazard indication mapping
Bühler, Y., von Rickenbach, D., Stoffel, A., Margreth, S., Stoffel, L., & Christen, M. (2018). Automated snow avalanche release area delineation – validation of existing algorithms and proposition of a new object-based approach for large-scale hazard indication mapping. Natural Hazards and Earth System Science, 18(12), 3235-3251. https://doi.org/10.5194/nhess-18-3235-2018
Drohneneinsatz für die Kartierung der Schneehöhenverteilung
Bühler, Y., Stoffel, A., Eberhard, L., Feuerstein, G. C., Lurati, D., Guler, A., & Margreth, S. (2018). Drohneneinsatz für die Kartierung der Schneehöhenverteilung. Bündnerwald, 71(8), 20-24.
Linking modelled potential release areas with avalanche dynamic simulations: an automated approach for efficient avalanche hazard indication mapping
Bühler, Y., von Rickenbach, D., Christen, M., Margreth, S., Stoffel, L., Stoffel, A., & Kühne, R. (2018). Linking modelled potential release areas with avalanche dynamic simulations: an automated approach for efficient avalanche hazard indication mapping. In International snow science workshop proceedings 2018 (pp. 810-814). Retrieved from http://arc.lib.montana.edu/snow-science/item.php?id=2653
Photogrammetric snow depth mapping: evaluation of different platforms and sensors
Eberhard, L., Marty, M., Stoffel, A., Kenner, R., & Bühler, Y. (2018). Photogrammetric snow depth mapping: evaluation of different platforms and sensors. In International snow science workshop proceedings 2018 (pp. 403-407). Retrieved from http://arc.lib.montana.edu/snow-science/item/2562
SFM-based 3D point clouds in determination of snow depth from high-resolution UAS data as alternative methods: is it possible to use?
Eker, R., Aydin, A., Bühler, Y., & Stoffel, A. (2018). SFM-based 3D point clouds in determination of snow depth from high-resolution UAS data as alternative methods: is it possible to use? In International snow science workshop proceedings 2018 (pp. 398-402). Retrieved from http://arc.lib.montana.edu/snow-science/item/2561
Avalanche terrain maps for backcountry skiing in Switzerland
Harvey, S., Schmudlach, G., Bühler, Y., Dürr, L., Stoffel, A., & Christen, M. (2018). Avalanche terrain maps for backcountry skiing in Switzerland. In International snow science workshop proceedings 2018 (pp. 1625-1631). Retrieved from http://arc.lib.montana.edu/snow-science/item/2833
Subaquatic digital elevation models from UAV-imagery
Mulsow, C., Kenner, R., Bühler, Y., Stoffel, A., & Maas, H. G. (2018). Subaquatic digital elevation models from UAV-imagery. In F. Remondino, I. Toschi, & T. Fuse (Eds.), International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: Vol. XLII-2. ISPRS TC II Mid-term Symposium "Towards Photogrammetry 2020" (pp. 739-744). https://doi.org/10.5194/isprs-archives-XLII-2-739-2018
Quantifying the obvious: the avalanche danger level
Schweizer, J., Mitterer, C., Techel, F., Stoffel, A., & Reuter, B. (2018). Quantifying the obvious: the avalanche danger level. In International snow science workshop proceedings 2018 (pp. 1052-1058). Retrieved from http://arc.lib.montana.edu/snow-science/item/2706
Photogrammetric reconstruction of homogenous snow surfaces in alpine terrain applying near-infrared UAS imagery
Bühler, Y., Adams, M. S., Stoffel, A., & Boesch, R. (2017). Photogrammetric reconstruction of homogenous snow surfaces in alpine terrain applying near-infrared UAS imagery. International Journal for Remote Sensing, 38(8-10), 3135-3158. https://doi.org/10.1080/01431161.2016.1275060
New insights on permafrost genesis and conservation in talus slopes based on observations at Flüelapass, Eastern Switzerland
Kenner, R., Phillips, M., Hauck, C., Hilbich, C., Mulsow, C., Bühler, Y., … Buchroithner, M. (2017). New insights on permafrost genesis and conservation in talus slopes based on observations at Flüelapass, Eastern Switzerland. Geomorphology, 290, 101-113. https://doi.org/10.1016/j.geomorph.2017.04.011
Investigating the potential of low-cost remotely piloted aerial systems for monitoring the alpine snow cover. RPAS4SNOW. Final project report
Adams, M. S., Fromm, R., Graf, A., Bühler, Y., Stoffel, A., Boesch, R., & Ginzler, C. (2016). Investigating the potential of low-cost remotely piloted aerial systems for monitoring the alpine snow cover. RPAS4SNOW. Final project report. https://doi.org/10.1553/ESS-01
Mapping snow depth in alpine terrain with unmanned aerial systems (UASs): potential and limitations
Bühler, Y., Adams, M. S., Bösch, R., & Stoffel, A. (2016). Mapping snow depth in alpine terrain with unmanned aerial systems (UASs): potential and limitations. Cryosphere, 10(3), 1075-1088. https://doi.org/10.5194/tc-10-1075-2016
UAS photogrammetry of homogenous snow cover
Bühler, Y., Stoffel, A., Adams, M., Bösch, R., & Ginzler, C. (2016). UAS photogrammetry of homogenous snow cover. In T. P. Kersten (Ed.), Publikationen der DGPF: Vol. 25. Beiträge. 36. Wissenschaftlich-technische Jahrestagung der DGPF (pp. 306-316). Hamburg, Germany: DGPF.
Geodatenerfassung im hochalpinen Gelände mittels Drohnen
Bühler, Y., Bösch, R., Stoffel, A., & Adams, M. (2015). Geodatenerfassung im hochalpinen Gelände mittels Drohnen. Geomatik Schweiz, Géomatique Suisse, Geomatica Svizzera, 113(9), 366-370. https://doi.org/10.5169/seals-513923
Automated identification of potential snow avalanche release areas based on digital elevation models
Bühler, Y., Kumar, S., Veitinger, J., Christen, M., Stoffel, A., & Snehmani,. (2013). Automated identification of potential snow avalanche release areas based on digital elevation models. Natural Hazards and Earth System Science, 13(5), 1321-1335. https://doi.org/10.5194/nhess-13-1321-2013
Software tools developed for the Swiss avalanche warning service - a system overview
Stoffel, A., & Niederer, U. (2013). Software tools developed for the Swiss avalanche warning service - a system overview. In F. Naaim-Bouvet, Y. Durand, & R. Lambert (Eds.), ISSW proceedings. International snow science workshop proceedings 2013 (pp. 451-452). Retrieved from http://arc.lib.montana.edu/snow-science/item/2012
Synergy of in situ and space borne observation for snow depth mapping in the Swiss Alps
Foppa, N., Stoffel, A., & Meister, R. (2007). Synergy of in situ and space borne observation for snow depth mapping in the Swiss Alps. International Journal of Applied Earth Observation and Geoinformation, 9, 294-310. https://doi.org/10.1016/j.jag.2006.10.001
Snow depth mapping in the Alps: merging of in situ and remotely-sensed data
Foppa, N., Stoffel, A., & Meister, R. (2005). Snow depth mapping in the Alps: merging of in situ and remotely-sensed data. EARSeL eProceedings, 4(1), 119-129.