Dr. Joschka Geißler

Geissler, J., Mazzotti, G., Rathmann, L., Webster, C., & Weiler, M. (2025). Forest Snow Patterns Derived Using ClustSnow Are Temporally Persistent Under Variable Environmental Conditions. Water Resources Research, 61(9), e2024WR038442. https://doi.org/10.1029/2024wr038442

Geissler, J., & Weiler, M. (2025b). ClustSnow: determining and using snow distribution patterns. https://doi.org/10.6094/UNIFR/262181

Geissler, J., & Weiler, M. (2025a). ClustMod: predicting patterns of snow distribution. https://doi.org/10.6094/UNIFR/262180

Geissler, J. (2025). Determining and predicting spatiotemporal snow patterns in forested environments. https://doi.org/10.6094/UNIFR/269194

Geissler, J., Mazzotti, G., Rathmann, L., Webster, C., & Weiler, M. (2024). ClustSnow: utilizing temporally persistent forest snow patterns under variable environmental conditions. Authorea, Inc. https://doi.org/10.22541/essoar.172222597.78203131/v1

Geissler, J., Rathmann, L., & Weiler, M. (2024). Spatiotemporal observations on the distribution of snow in forests for two study sites and three winter seasons [Dataset]. https://doi.org/10.6094/UNIFR/255332

Geissler, J., Rathmann, L., & Weiler, M. (2023). Combining daily sensor observations and spatial LiDAR data for mapping snow water equivalent in a sub-alpine forest. Water Resources Research, 59(9), e2023WR034460. https://doi.org/10.1029/2023wr034460

Geissler, J., Rathmann, L., & Weiler, M. (2023). Spatio-temporal snow variability in the sub-alpine Alptal, Switzerland – UAV-based LiDAR snow depth maps and derived products [Dataset]. https://doi.org/10.6094/UNIFR/232647

Geissler, J., Mayer, C., Jubanski, J., Münzer, U., & Siegert, F. (2021). Analyzing glacier retreat and mass balances using aerial and UAV photogrammetry in the Ötztal Alps, Austria. The Cryosphere, 15(8), 3699–3717. https://doi.org/10.5194/tc-15-3699-2021

Rathmann, L., Geissler, J., & Reiterer, A. (2021). Concept for a novel airborne LiDAR system combining high-resolution snow height mapping with co-registered spatial information on the water content of the snowpack. Multimodal Sensing and Artificial Intelligence: Technologies and Applications II. https://doi.org/10.1117/12.2591815