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Your search for Keyword "lidar."resulted in 36 records.

Title: REMOTE SENSING FOR AVALANCHE PRACTICE AND SCIENCE: WHAT HAVE WE ACHIEVED, AND HOW CAN WE ADDRESS WHAT IS STILL MISSING?
Date: 2026-09-28
Authors: Yves Bühler, Andreas Stoffel, Andrea Manconi
Description: Over the past 50 years, remote sensing has evolved from a classified tool for military applications into a public and often freely available source of...
Object ID: ISSW2026_O7.2.pdf
Keywords: remote sensing, drones, satellites, photogrammetry, lidar, radar
View additional details about REMOTE SENSING FOR AVALANCHE PRACTICE AND SCIENCE: WHAT HAVE WE ACHIEVED, AND HOW CAN WE ADDRESS WHAT IS STILL MISSING?

Title: ASSIMILATING LIDAR AND IN-SITU COMMUNITY SNOW MEASUREMENTS TO IMPROVE SNOWPACK ESTIMATES ACROSS THE WESTERN UNITED STATES
Date: 2026-09-28
Authors: David F. Hill, Zachary Butler, Katreen Wikstrom Jones, Gabriel Wolken
Description: Seasonal snowpack supplies a large fraction of water resources across the Western United States, making accurate estimates of snow distribution and me...
Object ID: ISSW2026_P1.21.pdf
Keywords: snowpack modeling, lidar, data assimilation, community science
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Title: AUTOMOTIVE LIDARS UTILIZED TO PROVIDE REAL TIME SNOW DEPTH MAPPING FOR AVALANCHE FORECASTING AND DECISION-MAKING IN SKI RESORTS
Date: 2026-09-28
Authors: Alexander Prokop, Stefan Muckenhuber, Thomas Gölles, Stefan Wallner, Birgit Schlager, Stefan Graf, Florian Singer
Description: LiDARs are used for snow depth mapping for all scales, from satellites, airplanes, drones, mobile vehicles, and terrestrial based since about 20 years...
Object ID: ISSW2026_P2.44.pdf
Keywords: lidar, laser scanning, snow depth, snow accumulation, low-cost
View additional details about AUTOMOTIVE LIDARS UTILIZED TO PROVIDE REAL TIME SNOW DEPTH MAPPING FOR AVALANCHE FORECASTING AND DECISION-MAKING IN SKI RESORTS

Title: Near real-time snow depth monitoring with low-cost lidar sensors for road safety decisions
Date: 2026-09-28
Authors: Pia Ruttner, Julia Glaus, Yves Bühler
Description: Operational avalanche safety decisions often must be taken under conditions of limited direct observations and sparse spatial data coverage. In partic...
Object ID: ISSW2026_P3.27.pdf
Keywords: remote sensing, snow depth monitoring, low-cost lidar, road safety
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Title: FROM POINT TO SLOPE: ASSESSING WEATHER STATION SNOW DEPTH REPRESENTATIVENESS USING LIDAR AND GEOSTATISTICS
Date: 2026-09-28
Authors: Katreen M. Wikstrom Jones, Gabriel J. Wolken, Michael Janes
Description: Weather station data are widely used by avalanche forecasters to validate meteorological forecasts and to assess snowpack characteristics at specific ...
Object ID: ISSW2026_P3.31.pdf
Keywords: weather stations, snow depth, spatial representativeness, snow prediction, lidar.
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Title: LIDAR DERIVED RELATIVE SNOW DEPTH MAPPING TO PREDICT PERSISTENT WEAK LAYER TRIGGER AREAS
Date: 2026-09-28
Authors: Bjoern Bingham, Joseph Ammatelli, Dan McEvoy
Description: Persistent slab avalanches are a leading cause of avalanche fatalities, in part because persistent weak layers (PWLs) are difficult to detect. A key r...
Object ID: ISSW2026_P3.38.pdf
Keywords: lidar; persistent weak layers; shallow snow; mapping; cross-validation
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Title: TOWER-BASED SNOW REMOTE SENSING FOR IMPROVED UNDERSTANDING OF RETRIEVAL ALGORITHMS
Date: 2026-09-28
Authors: Hans-Peter Marshall, Eli Deeb, Rashmi Shaw, Hans Lievens, Manuela Girotto, Coleman Kane, Jaron Vandenbrouke, Jarne Van Mulders, Thomas Van Der Weide
Description: Microwave snow remote sensing has been challenged by a lack of the ideal frequencies, polarizations, spatial resolution, and temporal resolution, in o...
Object ID: ISSW2026_P3.55.pdf
Keywords: snow remote sensing, radar, lidar, swe, tower-based observations, retrieval algorithms
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Title: DRONE LIDAR CHARACTERIZATION OF AVALANCHES TRIGGERED BY A MID-WINTER RAIN EVENT ON NORTHERN VANCOUVER ISLAND
Date: 2026-09-28
Authors: Anthony D. Maue, Devin Cvitanovich, William C. Floyd, Benjamin O'Connor, Sergey Marchenko, Maartje Korver, Eva Griffiths
Description: As part of ongoing snow hydrology research, regular drone- and plane-based lidar surveys are conducted each winter and spring in the Russell Creek Exp...
Object ID: ISSW2026_P3.56.pdf
Keywords: lidar, drone, snow depth, rain, weather station
View additional details about DRONE LIDAR CHARACTERIZATION OF AVALANCHES TRIGGERED BY A MID-WINTER RAIN EVENT ON NORTHERN VANCOUVER ISLAND

Title: REPEATED UAS LIDAR SCANNING OF SNOW SURFACE TO SUPPORT SITE-SPECIFIC AVALANCHE WARNING
Date: 2024-09-23
Authors: Emil Solbakken
Description: Site-specific avalanche warning often involves assessment of avalanche hazard in remote avalanche paths with limited observations of relevant snowpack...
Object ID: ISSW2024_O1.5.pdf
Keywords: lidar, uas, site-specific avalanche warning
View additional details about REPEATED UAS LIDAR SCANNING OF SNOW SURFACE TO SUPPORT SITE-SPECIFIC AVALANCHE WARNING

Title: ENHANCING OPERATIONAL AVALANCHE RISK ASSESSMENT WITH RPAS LIDAR SNOW DEPTH MAPS AND AVALANCHE SIMULATIONS: A CASE STUDY IN WESTERN CANADA
Date: 2024-09-23
Authors: Eirik Ainer-Sharp, Cam Campbell, Alexis Tessier
Description: In this study, we present a novel approach to operational avalanche risk assessment using numerical avalanche models initialized with snow depth maps ...
Object ID: ISSW2024_P1.30.pdf
Keywords: rpas, uav, drone, lidar, ramms, forecasting.
View additional details about ENHANCING OPERATIONAL AVALANCHE RISK ASSESSMENT WITH RPAS LIDAR SNOW DEPTH MAPS AND AVALANCHE SIMULATIONS: A CASE STUDY IN WESTERN CANADA

Title: ARCTIC MOUNTAIN GLACIERS LOVE AVALANCHES
Date: 2024-09-23
Authors: Alexander Prokop, Bernhard Hynek, Eric Bernard, Signe Hillerup Larsen, Florian Tolle, Jean-Michel Friedt
Description: At ISSW and in general avalanches are usually discussed in the context of a natural hazard that harms people and infrastructure and needs to be manage...
Object ID: ISSW2024_P5.8.pdf
Keywords: avalanche deposit, climate warming, arctic glacier, lidar, sfm-photogrammetry
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Title: OPTIMISATION OF UAV-BORNE LIDAR SURVEYS FOR SNOW DISTRIBUTION MAPPING
Date: 2024-09-23
Authors: Sean E. Salazar, Holt Hancock, Regula Frauenfelder, Halgeir Dahle, Emil Solbakken, Tore Humstad
Description: Laser scanners carried by uncrewed aerial vehicles (UAVs) have been proven to be effective data collection tools in mountainous terrain with relativel...
Object ID: ISSW2024_O8.6.pdf
Keywords: remote sensing, uav, lidar, mapping
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Title: CABLE CAR-MOUNTED LIDAR SYSTEM FOR CONTINUOUS SNOW DEPTH ASSESSMENT
Date: 2024-09-23
Authors: Thomas Goelles, Berin Dikic, Christoph Gaisberger, Birgit Schlager, Stefan Muckenhuber, Stefan Wallner
Description: This paper presents a novel approach for continuous snow depth assessment using lidar system mounted on a cable car. Traditional methods for measuring...
Object ID: ISSW2024_P8.18.pdf
Keywords: lidar, cable-car, gondola, slam, snow-monitoring
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Title: SNOW DEPTH VARIABILITY IN AN AVALANCHE RELEASE ZONE: ONE SEASON OF MEASUREMENTS AND TOPOGRAPHIC RELATIONS
Date: 2024-09-23
Authors: Pia Ruttner-Jansen, Annelies Voordendag, Julia Glaus, Andreas Wieser, Yves Bühler
Description: Wind- and gravity-induced redistribution of snow leads to a high variability in snow depth across a slope, which is one of the major drivers to be ta...
Object ID: ISSW2024_P9.5.pdf
Keywords: lidar, snow depth, wind-drifted snow, modeling
View additional details about SNOW DEPTH VARIABILITY IN AN AVALANCHE RELEASE ZONE: ONE SEASON OF MEASUREMENTS AND TOPOGRAPHIC RELATIONS

Title: GROUND TRUTH VALIDATION OF SATELLITE REMOTE SENSED AVALANCHE DATA IN AUSTRIA
Date: 2024-09-23
Authors: Alexander Prokop, Kathrin Lisa Kapperer, Jakob Grahn, Stefan Muckenhuber, Eirik Malnes, Thomas Gölles, Patrick Nairz, Wolfgang Schöner
Description: Over the past decade, mapping avalanches in satellite imagery has proven to be a promising and rapid approach to monitor and analyze avalanche activit...
Object ID: ISSW2024_P9.10.pdf
Keywords: avalanche detection, satellite remote sensing, lidar, avalanche warning
View additional details about GROUND TRUTH VALIDATION OF SATELLITE REMOTE SENSED AVALANCHE DATA IN AUSTRIA