AI-powered early detection and mapping of bark beetle damage using Sentinel-2 imagery.

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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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Kosmosa iespējas
Apstrāde
Insight Generation
Converts analysis into context-rich, actionable insights.
Piegādāts kā
System Integration
Ģeogrāfiskais pārklājums

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.
Somija
Valsts
Embeds data and insights into existing systems and workflows.