Forest Data at the Level Your Decisions Require

From large-area estimates to individual-tree insights, Arbonaut builds forest inventories around your planning, management, and assessment needs.

Forest information that fits the way you plan and manage

The appropriate forest inventory depends on the decisions the information needs to support. Arbonaut adapts the inventory level, data sources and outputs to your forest structure, available data and intended use. The same framework can provide consistent large-area estimates, detailed tree-level information or individual-tree and crown analysis where greater precision is required.

From 2,000 to millions of hectares

Information for different planning needs: Stand-level, individual trees, and crowns

LiDAR densities adapted to the required precision: From 5 to over 1000 points/m²

Experience delivering forest information at scale with over 230 million hectares inventoried worldwide

When your forest information needs to do more

Typical issues

When current inventory may be reaching its limits

Coverage is limited

With only one field plot per ~2,400 hectares actually observed on average, much of the wider forest remains unseen.

The detail is no longer enough

Existing data may lack the attributes or resolution needed for current planning and management needs.

New needs have outgrown the inventory

Operational and environmental analyses increasingly require information that was not part of the inventory’s original purpose.

With upgraded inventory

What better forest information can enable

Less fieldwork, more coverage

Get consistent information across large forest areas while reaching 50-90% in fieldwork reduction.

Add detail without limiting scale

Capture the attributes and detail you need, being able to analyze over 10,000 hectares from your desk with no loss of accuracy.

Put one inventory to more work

Use the same data foundation in planning, environmental analysis, and operations, with reported harvest efficiency gains of 10–15%.

One framework. Different levels of detail.

Different forests and decisions require different information. Arbonaut defines the data sources, precision level, and outputs around the project rather than treating resolution as the goal itself.

area based forest inventory

AREA-BASED FOREST INVENTORY

For cost-efficient, consistent information across large forest areas

  • Consistent stand- and grid-level information for resource assessment, forest planning and large-area management
  • Typical outputs: Volume, height, diameter at breast height, species distribution, Canopy Height Model, and terrain
  • Best fit: large forests and plantations of 10,000 hectares and above
Customer project: A 60,000 ha of forest inventory supporting precision forestry for Tärna-Stensele & Sorsele Övre
crown based forest inventory

TREE-LEVEL FOREST INVENTORY

For detailed operational planning

  • Individual-tree information for decisions that require a more detailed understanding of forest structure
  • Typical outputs: tree height, diameter, crown dimensions, species, volume and biomass
  • Best fit: plantations, harvesting, thinning, and detailed forest management
Customer project: Tree-level inventory across a 130,000-ha project for Älvdalen and Särna-Idre Besparingsskogar
hyper resolution inventory

HYPER-RESOLUTION FOREST INVENTORY

A true digital twin of forest

  • Detailed detection and characterization of individual trees and crowns for applications where conventional inventory resolution is not enough
  • Typical outputs: individual trees and crowns, crown structure, species-related characteristics with >90% classification accuracy, standing and fallen deadwood
  • Best fit: specialized operational planning, biodiversity and nature value assessment, research, and plantations
Plantation inventories for eucalyptus

PLANTATION INVENTORY

For planning across intensively managed plantation forests

Get consistent plantation forest information for growth assessment, rotation planning and harvest readiness. Arbonaut combines forest attributes with terrain, water-flow and operational information for a broader operational view. Our integrated processing chain ensures the result delivery within 60-90 days along with empirical and statistical accuracy in each dataset.

Customer project: Pine and eucalyptus plantations inventory for Zambia Forestry and Forest Industries Corporation PLC
Automatic segmentation of forests

VALUE-ADDED INSIGHTS

Automatic segmentation of forest stands

Arbonaut turns raw remote-sensing data into a dataset that divides forest stands into meaningful units for planning and analysis. Available as part of inventory workflows or as a standalone product.

Customer project: Micro-stand segmentation for Boxholms Skogar
Barkbeetle risks

VALUE-ADDED INSIGHTS

Nature value analysis

Nature-value analysis adds ecological context to forest inventory data by identifying deadwood, broad-leaved areas and areas with high biodiversity indicators. It shows where environmental values are located so they can be considered alongside operational priorities. This supports long-term forest management, biodiversity objectives, and compliance needs.

Customer project: Nature value analysis for Kopparfors Skogar

Examples of forest inventory outputs

Stand volume from LiDAR mapping
Stand volume

See where timber resources are concentrated across stands.

LiDAR map of tree diameter
Tree diameter

Understand tree size distribution for more informed management decisions.

Tree species map
Tree species

See where different species occur to support planning and management.

Individual tree volume
Tree volume

Assess timber resources at individual-tree level for detailed planning.

Canopy height model
Canopy Height Model

Understand canopy height and structure across the forest.

Turn better forest information into better planning

Build your inventory around the information that matters most for your management priorities.

 

Frequently Asked Questions

The right inventory level depends on your decision making needs, forest structure, scale, and required accuracy. You do not need to choose a method upfront. Arbonaut helps define the most suitable level and supports scaling the inventory later if needs change.
Yes. You can begin with area-based insights and later add tree-level or hyper-resolution detail for selected areas while maintaining data continuity.
Field reference data is typically used for calibration and validation, but the amount of fieldwork varies by inventory level and project goals. Higher resolution inventories can significantly reduce, and in specific cases replace, traditional fieldwork.
Inventories are based on LiDAR data combined with satellite imagery, aerial photos, HPR data, and field reference measurements. The exact data mix depends on the desired resolution and available datasets.
Yes, inventory data provides a versatile foundation for other applications. It can be re-used across multiple planning and assessment needs: operational planning decisions and environmental (carbon stocks, forest fire risks, deadwood relevant to biodiversity and risk management).