Bark beetle detection and monitoring using satellite imagery and AI

LINDA Bark Beetle is an AI-based managed service that detects and monitors bark beetle infestations using ESA Sentinel-2 satellite imagery, recent LiDAR data, harvester records, and sample plots. The system identifies early-stage infestation markers in spruce stands — subtle spectral changes invisible to the human eye — with up to 90% accuracy, and delivers severity maps and dead-tree layers updated multiple times per season.
Forest owners and managers receive ready-to-use damage maps via GeoPackage files, a WMS API, and direct integration with forest management systems such as ForestKIT and LVM GEO. This enables prioritised harvest planning, targeted intervention, and year-round bark beetle risk management across large ownerships. The product is commercially available in Finland, Sweden, Estonia, Latvia and Lithuania.
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Dane kosmiczne wejściowe
Przetwarzanie
Insight Generation
Converts analysis into context-rich, actionable insights.
Dostarczane jako
System Integration

CollectiveCrunch
CollectiveCrunch provides AI-powered forest data products and analytics to support decision-making for forest owners, sawmills, municipalities and land buyers. Their LINDA product family delivers forest inventory, bark beetle detection, biodiversity indexing and property scouting using lidar and satellite data integrations.
Finland
Kraj
Embeds data and insights into existing systems and workflows.