LINDA
Storm Damage
Our fast and cost-efficient AI-based storm damage detection product provides you with comprehensive insights into areas of forest impacted by a storm.
The product maps wind-felled timber from Copernicus satellite data—revealing damage across large, hard-to-reach areas, even under snow, for timely planning of salvage harvesting operations.
Act while the timber still has value
after a storm, every day counts
EUSPA CASSINI Challenge 2026 Winner
Testimonials
"When data is produced by AI, the information is of consistent quality and it does not depend on the estimates of an individual planner.”
Kari Louhisalmi
Development Specialist, Metsähallitus
“Finally we have use for all the data that we have been collecting”
Anders Järlesjö
Head of Forest Technology, Sveaskog
"Accurate, timely data allows us not only to react rapidly, but to prepare potential actions to repair forest damages.”
Olli Leino
Director of Digitalization, Metsä Group
"When data is produced by AI, the information is of consistent quality and it does not depend on the estimates of an individual planner.”
Kari Louhisalmi
Development Specialist, Metsähallitus
“Finally we have use for all the data that we have been collecting”
Anders Järlesjö
Head of Forest Technology, Sveaskog
"Accurate, timely data allows us not only to react rapidly, but to prepare potential actions to repair forest damages.”
Olli Leino
Director of Digitalization, Metsä Group
How does it work?
Automatic detection of damages is based on ESA Sentinel-2 satellite images covering the whole country. No drones needed.
Recent LIDAR
Satellite data
Harvester data
Sample plots
How to get it into use
The data product can be provided to you according to your needs.
Integrations
With most used Forest Management systems
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File basedGeopackage
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ForestKIT
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LVM GEO
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WMS API
