Earth Observation Applications
Rapid first impact intelligence
Earth Observation Applications use remote sensing and advanced modeling techniques to analyze natural hazards such as floods, droughts, and wildfires. These technologies provide valuable geospatial insights, enabling better risk management and informed decision-making to protect communities and assets.
FloodSENS is a cutting-edge machine learning algorithm that uses satellite imagery and topographic data to accurately identify and map flood extents globally, across diverse conditions. It provides timely flood information for insurance, humanitarian aid, and disaster management.
FireSENS uses near-real-time thermal data and demographics to pinpoint wildfire risk for vulnerable populations, addressing health threats from smoke inhalation and air quality degradation. It provides real-time insights and tracks long-term impacts, with customizable data integration for tailored community information and post-fire monitoring.
HydroSENS extracts vegetation health and runoff data from satellite imagery at various scales. Its HydroSENS-SWS application uses Sentinel-3 imagery to generate downscaled (20m resolution) soil moisture and water stress indicators. Both offer tailored solutions for monitoring runoff, vegetation, and soil.
