Accurate and reliable forest resource data for multi-purpose forest planning
Accurate timber inventories for large areas
Our airborne LiDAR-based forest inventory method, designed for large area inventories, provides accurate and reliable forest data. In addition to timber inventory, airborne LiDAR data is used in several GIS products serving forest inventory decision making and planning.
Biomass resources assessment
When studying the biomass potential for bioenergy use or availability of forest resources in a large area for investment decision making, a first plan will be drafted using different resolution of satellite imagery. Our team can evaluate the most suitable, cost-efficient way to get a needed solution.
Carbon stock assessment
LiDAR-Assisted Multisource Programme (LAMP), a forest inventory approach, enables to generate the most accurate forest resource information at any desired spatial resolution in large-scale projects based on advanced statistical-modelling techniques developed by Arbonaut in close collaboration with its university partners.
Airborne LiDAR data is used to supplement field reference data which can save up to 90 % of field measurement efforts over large forest areas to achieve the targeted precision.
LiDAR-based models help to correct satellite-based models during mapping wall-to-wall biomass distribution without suppressing high above-ground carbon density values.
Automated stand delineation
Automated stand delineation, as a part of ArboLiDAR tools, is a segmentation process of large forest areas into homogenous operational forest units using remote sensing and other GIS data in an innovative way.
Arbonaut team has a long experience in designing inventory on purpose, from small survey to National Forest Inventory NFI. The methodology and data are selected to provide the information that a customer requests in the most cost-efficient way.
Support to forest land management
Data collected for the needs of timber inventory can be widely utilized for other management and decision-making tasks, while raster products derived from LiDAR data — to visualize and model the vegetation and terrain.
Analyses implemented by our team offer tools for forest road construction and harvesting planning, biodiversity hot spots detection, forest drainage system management, hydrological analysis, as well as storage site allocation.