CHF 1.7 million to improve predictions for hydropower companies
The SnoWE consortium will combine data from snow-radar devices and satellite observations on snow cover in numerical weather models for short-, medium-term forecast of snow balance and water inflow.
SILVA Accepted for Funding by Swiss Space Center
SILVA (Satellite-based Inspection of Large Vegetated Areas) was accepted for funding by the Swiss Space Center. Together with the WSL and the ETH EcoVision Lab, ExoLabs will develop EO-based risk-, damage- and value maps for forests.
1st and 2nd Place at Climate Launchpad!
ExoLabs won the national finals of Switzerland and came in second at the Climate Launchpad Regional Final Europe - Sector Resilient Regions!
ExoLabs Accepted for Innosuisse Program
We are pleased to have been accepted into the core coaching program of Innosuisse - Swiss Innovation Agency. And we are very happy to be able to continue our work with our lead coach Paola Ghillani! Thank you very much for your support!
ExoLabs Receives Funding From PARSEC Accelerator
Together with ThinkOutside and UBIMET we won the PARSEC Accelerator Open Call 2. We are all very much looking forward to provide the most accurate snow monitoring and forecasting system.
Deep Snow Accepted for Innosuisse Funding
Together with the EcoVision Lab at ETH Zurich, the WSL Institute for Snow and Avalanche Research SLF, MountaiNow and Outdooractive, ExoLabs develops an advanced deep learning approach for highly accurate snow depth estimations on a daily basis. This project is realised in the framework of an Innosuisse project.