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Area-Based Forest Inventory

Scalable forest insights based on remote sensing and advanced modeling.

The Industry Standard for Large-Scale Forest Mapping

Area-based inventory is a proven, model-driven approach for reliable forest attributes across extensive forest areas. By integrating airborne LiDAR with field measurements and other remote-sensing datasets, we deliver a detailed and objective representation of forest structure.

Landscape-level insights

Efficient for large-scale forests from 10,000 hectares and above

2-10 points/m² density

Forest attributes in 16x16m grid

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Your Forest Data Package

Grid and stand level inventories

Forest attributes at grid- and stand-levels

High-resolution forest data delivered at both uniform grid scale and stand boundaries. Comprehensive forest metrics offer reliable insights into forest composition and condition delivered at both uniform grid scale and stand boundaries.
  • Volume
  • Diameter at Breast Height (DBH)
  • Tree Height
  • Species classification
Automatic segmentation and delineation layer

Automatic Segmentation

AI-powered segmentation that transforms raw data into clear forest structure layers.
  • Segmentation and classification layers for forest structure and its variability
  • Features that delineate forest operations: Height, Density, and Species Proportions
Terrain form layer

Terrain layers

Terrain intelligence derived directly from LiDAR pre-processing.
  • Digital Terrain Model (DTM) to reveal precise land elevation when planning operations
  • Digital Surface Model (DSM) for the complete view of the landscape.
  • Canopy Height Model (CHM) delivers insights into forest structure, biomass, stand development, etc.
3D point cloud of airborne laser-scanning

LiDAR-based layers

Metrics that are extracted from the 3D point cloud for a deeper understanding of vegetation.

End-to-End Inventory Process for Forest Intelligence

  1. 1. Project design

    We begin by discussing goals for an area-based inventory. This step aligns your goals with available budget, coverage, and data sources.

  2. 2. Data acquisition

    We coordinate with international data providers to secure needed data for area-wide analysis: LiDAR, orthophotos, satellite imagery, and field plots.

  3. 3. Data processing

    All remote-sensing inputs are processed into map layers.

  4. 4. Result calculation

    We model and calculate stand-level outputs and other forest attributes.

Turn Every Hectare into Insight

Discover what area-based inventories can unlock for you and your forest assets.

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Frequently Asked Questions

Yes, when needed we can provide or arrange field reference plots as part of the project. Field plots are important in calibrating and validating LiDAR-based inventory models and in ensuring that they reflect real conditions on the ground. Typically, 250-1000 plots are needed for one project.
Most forest owners refresh their airborne laser-scanning (ALS) inventory every 2-3 years to reflect changes in forests. Such periodic updates help maintain data reliability.
Inventory outputs can be tailored to your needs, whether you require specific forest attributes, custom segmentation, or specialized reporting. The area-based approach allows such flexibility and supports a wide range of forest inventory products.
We deliver inventory results primarily through an inventory database, giving you access to every layer we produce. We can provide data access through our ProMS software tool, allowing smooth integration into daily workflows. API-based map services and delivery of data in standard formats such as geopackages for any GIS environment are also available.
 

Headquarters
Kaislakatu 2, Joensuu, 80130
Helsinki office
Malminkaari 13-19, Helsinki, 00700

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