SensorLogic has been developing sensing solutions for the snow science and climate change community for over a decade.
Automated Low-Power Snow Water Equivalent Sensor
SWEdar (Snow Water Equivalency radar) is the first UWB radar based sensor to be developed. Over three years of testing with NASA and Idaho Power has resulted in a proprietary sensor that cost significantly less to own and install than current solutions on the market.
Robust & Dependable
- Non-contact measurement of SWE, Snow Density, Snow Depth, and Snowfall
- Data processed in real-time, no post-mission processing
- Cellular or Satellite data transfer
- Optional Cloud-based data storage and retrieval
- Minimal site preparation & fewer site visits
- Operates in sloped terrain
- No dangerous chemicals required
- Ideal replacement for snow pillow and snow scales
Improve forecasting of water resources for agriculture and public consumption, mountain weather, avalanches, floods, and hydro power
- Hydro-electric Power Forecasting
- Agricultural Irrigation
- Climate Change Research
- Seasonal run off and flood monitoring
- Ski Resort Water Management
Snow Microstructure Research
Montana State University and SensorLogic Technology
On behalf of a NASA-funded research grant to study the implications of snow microstructure on various radar-retrieved parameters, investigators at Montana State University (MSU) are using SensorLogic’s upward looking UWB radar to study snow metamorphism and liquid water percolation in snow in their laboratory and in the field at Bridger Bowl Ski Area (Bozeman, MT). Utilizing the Subzero Research Laboratory (SRL) at MSU, Professor Kevin Hammonds and Ph.D. student Chris Donahue are creating snowpacks of various microstructures. Throughout each experiment, co-pol and cross-pol radar measurements are collected and analyzed to better understand the role snow metamorphism plays in interpreting microwave remote sensing data for hydrological forecasting applications. In the field, a permanently buried upward-looking radar is being used to measure snow properties such as height, density, stratigraphy, and snow water equivalent. Once the snowpack becomes wet due to snowmelt in the Spring, or during rain-on-snow events, the same upward-looking radar is used to measure water percolation in the snowpack. This information is used to inform models that predict snowmelt timing and in avalanche forecasting to predict wet slab avalanches.
Upward looking radar plot showing the radar picking up water pooling at a snow interface (capillary barrier) during melt.
Mobile snow pack monitoring and avalanche forecasting for back country skiing
In 2019 SensorLogic teamed up with successful Norwegian start-up Think Outside to develop a radar based snow depth and snow pack analysis sensor that mounts to your ski.
Radar data collected with this novel sensor, called sknow, will be combined with other snow pack data to provide up to date avalanche forecasting and snow pack information.