Helping DMOs and Outdoor Platforms.
Prevent accidents by avoiding dangerous trails. Cut costs by monitoring a region in a cheaper and more effective way. Efficiently share and collaborate on terrain and infrastructure issues. Optimize promotion efforts by boosting only feasible activities at the right time. Differentiate yourself with premium services for your users.
Every day, we acquire the latest optical and radar data from the Sentinel, Landsat, VIIRS and MODIS family of satellites (operated by NASA and ESA).
At the same time, thanks to our partners, we gather ground observer station data on weather and terrain conditions, such as rainfall and snow depth.
Models on elevation, solar radiation, river catchments and other features give us the context needed to teach the computer to process the data.
A complex geographical data merging and processing algorithm searches for specific terrain conditions on the data acquired: e.g. snow cover, river flows or landslides.
For difficult areas covered by clouds or dense forests, a extrapolation-based statistical algorithm calculates the most likely conditions.
Based on the terrain conditions and weather forecast, a Feasibility Index is obtained for each trail and type of outdoor activity to be practiced.