Satellite Earth Observation AI for Forest Fire Prevention

Offentlig prosjektsammendrag

ForestSAT uses Machine Learning to process earth observation imagery and remote sensing data to analyze forest degradation over the years and predict fire risk in areas at risk with substantial fuel buildup. ForestSAT AI Decision Support System aims to provide actionable intelligence for fire risk mitigation through data driven smart forest management. The AI DSS will provide recommendations for timely action of regeneration of forest for and reforestation, improved forest resilience against wildfires, improved carbon sequestration and minimizing risk of emissions from uncontrolled wildfire destruction and deforestation. Our Machine Learning algorithms process petabytes of satellite images, multispectral remote sensing data, topographical, aerial LiDAR & ground sensory data with human inputs to examine forest floor fuel buildup, tree & vegetation status, climate and anthropogenic cause & effect. ForestSAT will make accurate future predictions of wildfire areas-at-risk polygons in millions of scanned hectares of forest to enable effective preventive actions.