Accurate and reliable forest resource data for multi-purpose forest planning
Accurate timber inventories
Our airborne LiDAR-based forest inventory method provides accurate and reliable forest data for all scales of projects up to millions of hectares, both at single tree or stand level.
We provide a range of services that cover the full inventory cycle, including field plot sampling design, field plot measurement, modelling, result calculation and quality assessment. The data and methods used are selected based on the customer’s needs to ensure cost efficiency.
To date, Arbonaut has provided inventories covering more than 15 million hectares in Finland and abroad. To do this, we have adapted the methodology - that is nowadays used as inventory standard in Finland – to work also in other countries.
As a result of in-house development in terms of methodology and an integrated processing chain, Arbonaut is able to provide fast and precise inventory results. This is particularly useful in the case of fast-growing tree species, such as eucalyptus, where different sections of the plantation represent different age groups and the LiDAR data to be collected is scattered in the area. Our proprietary analysis technology is efficient, trusted, and has a proven track record in South American companies.
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.
LAMP has been successfully implemented in Nepal and Ghana.
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.