Using a Random Forest Model to Combine Airborne Lidar and Snotel Data for Daily Estimates of Snow Depth Across Mountain Drainage Basins of Colorado We train and use random forest models to estimate distributed basin-wide snow depth by combining continuous Snotel data and lidar surveys At 50 m scale, model RMSE was 0.37 m with local and regio...

Check out this new Water Resources Research paper, co-authored by Director Cryosight!
The study shows how combining lidar + SNOTEL with machine learning can produce daily snow depth maps across Colorado basins
Link: doi.org/10.1029/2024...

Weekend read alert ❄️
Director Cryosight’s paper in Communications Earth & Environment shows that measuring snow in the right places can improve water forecasts more than measuring everywhere.
Check out the paper here: rdcu.be/eASXF

Team

CryoSIGHT is now on BlueSky! ❄️

We're the Cryosphere Interactions & Geospatial Hydrology Team at Oregon State University, led by Dr. Mark Raleigh.

Stay tuned for 2024–2025 fieldwork, papers, conferences, and defenses updates!

Learn more on our website!
cryosight.org/team/

#Cryosphere