NET ZERO than weeks. ML models trained on historic and live EO data can deliver predictions up to 1,000 times faster than previous techniques, bringing damage assessments and forecasts to those who need them most when it matters.
The dual evolution of small and large EO satellites means more nations and organisations can access, launch and benefit from satellites. While miniaturised sensors and lower launch costs have opened EO participation to small and medium enterprises( SMEs) and emerging economies, larger and more capable satellites are delivering ever-more powerful and reliable EO data streams for critical climate applications.
Revolutionising disaster response and climate adaptation With climate-driven disasters on the rise, decision-makers depend on timely information for everything from wildfire detection to post-hurricane recovery.
New low Earth orbit satellite constellations, such as the planned Muon Space system, will soon deliver near real-time, multispectral data capable of detecting fire ignition sites as small as 25m ², with a revisit time of just 20 minutes. This capability can greatly improve rapid response, minimise damages and protect lives. When it comes to post-disaster assessment, AI-powered ML models can now analyse satellite imagery of hurricane or earthquake zones at the
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