Forest Ecosystem Inventories
Reliable Forest Data for Effective Multi-Functional Management
LiDAR Inventories
As a global leader in LiDAR-based surveys, Arbonaut designed a highly accurate and cost-efficient method that integrates LiDAR data with satellite and other optical imagery and field measurements. This approach provides you with detailed and accurate representation of forests and vegetation, supporting informed decision-making.
Get a reliable and cost-effective view of your forest’s ecosystem
Minimize the need for extensive field work, saving time and resources while still obtaining accurate, actionable data
Eliminate subjective human errors and get constant quality inventories over large areas
Arbonaut successfully completed LiDAR inventories for over 30 million hectares of forests worldwide, from tropical plantations to boreal forests
Accurate inventory of your forest assets
for better, smarter decisions and, in many cases, increased forest value
Area-Based Inventory
Arbonaut’s area-based inventories with 20 years of experience deliver insights in micro-stand level on timber volume, species distribution, and forest health. It is scalable and cost-effective solution.
Tree-Level Inventory
Arbonaut’s tree-level inventory detects and analyzes individual trees. This targeted method optimizes value of every stem with detailed data on species, height, diameter, and health.
Inventory Products
Forests are more than trees and volumes. We create an insight of forests as a resource, their growth potential, and biodiversity values.
Data Collection from Every Angle
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ExpertsFor collecting field reference and validation dataGround
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DronesPrecision mapping over small areas. Cost-efficient but not scalableGround -
HarvestersFor continuous, accurate reference data collectionGround -
HelicoptersEffective in mountainous terrain and scattered areasAirborne
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AirplanesCost-effective mapping of large areas with LiDAR and aerial imageryAirborne
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SatellitesNear real-time data collection of large areasMonitoring
Intelligence for Precision Forestry
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