Forest Inventory at Any Scale and Resolution

From large-area estimates to tree-level insights, built on one unified framework.

Forest Intelligence at the Right Level of Detail

Arbonaut provides a unified forest inventory framework that scales from area based estimates to detailed tree and crown level data. Our inventory is built on the same proven LiDAR methodology and advanced modelling, adapted to different forest structures, data availability, and decision making needs.

From 2,000 to millions of hectares

From stand-level estimates to individual trees and crowns across entire forests

LiDAR densities ranging from 5 to over 1000 points/m² for ultra-high detail

Over 230 million hectares inventoried worldwide by Arbonaut

One Framework. Different Levels of Detail.

Grid and stand level area-based inventories

Area‑based forest inventory

Cost‑efficient and consistent forest data at stand and grid level, designed for strategic planning, reporting, and large area assessments.
  • Well-suited for forests and plantations of 10,000 hectares and above
  • Stand and grid level forest attributes
  • Volume, height, diameter at breast height (DBH), and species distribution
  • Canopy height, density, and terrain models derived from LiDAR
Forest inventory map of individual trees

Tree‑level forest inventory

Per‑tree forest data supporting operational decision‑making, including planning of thinning, harvesting, and other forest management activities.
  • Per tree height, diameter estimates, crown dimensions, and species
  • Tree level volume and biomass modelling
  • Tree , grid , and stand level datasets for broader spatial context using 20+ points/m² density
  • Particularly effective in even aged and intensively managed forests such as plantations
Digital twin of forest at hyper resolution

Hyper-resolution forest inventory

Near‑complete detection and characterization of individual trees and crowns using remote sensing data.
  • A true digital twin of forest using 1000+ points/m² density
  • Crown size, structure, and species-related characteristics with >90% classification accuracy
  • Detection of standing and fallen deadwood
  • Suitable for forest pre‑planning, scientific use, nature value and biodiversity assessments, as well as detailed plantation planning and harvest
Plantation inventories for eucalyptus

APPLICATION AREAS

Inventory Adapted for Plantations

Intensively managed plantation forests demand accurate, timely, and repeatable insights. Since plantation stands are typically even aged, uniform, and harvested on fixed rotations, Arbonaut’s LiDAR powered inventories offer scalability and effectiveness.

  • Optimized inventory methods for fast‑growing species, like eucalyptus
  • Delivery within 60-90 days using our integrated processing chain, ensuring exceptional empirical and statistical accuracy in each dataset
  • Support for rotation planning, verification, growth assessment, and harvest readiness
  • Integration of terrain, water flow, and operational layers relevant to commercially managed forests
Automatic segmentation of forests

Automatic segmentation of forest stands

Arbonaut automatically structures raw remote-sensing data into layers that are immediately usable for planning and analysis. Available as part of inventory workflows or as a standalone product.

End-to-End Inventory Process with Arbonaut

  1. 1. Project design

    Inventory objectives, scale, data availability, and outputs are defined together with a customer.

  2. 2. Data acquisition

    LiDAR, satellite imagery, aerial photos, and field reference data are sourced through our trusted partners.

  3. 3. Data processing

    Remote‑sensing datasets are processed into standardized forest layers.

  4. 4. Result calculation

    Forest attributes are modelled and delivered as GIS‑ready products.

Let’s Define the Right Inventory Level for You

Whether you are planning a large‑scale baseline inventory or need detailed insights for selected forest areas, our team will help you achieve your goals.

 

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).