Forest Inventory and Analysis
Forest inventories are required to quantify tree compositions and forest values, as well as a prerequisite of sustainable management. For vast areas with poor infrastructure, satellite remote sensing combined with field data and machine learning is a cost-effective choice for strategic level analyses and investment decisions. For operational planning, individual tree inventories using drone images are now a realistic and efficient option.
- Improved understanding of the asset’s value
- Optimising forest management with more accurate data leads to a more effective schedule of operations
- Accurate distribution and mapping of all species (including dead trees)
- Up-to-date aerial images
- Forest owners who need a forest management plan
- Investors who need the best available estimate of forest value
- Forest management service providers
Determining forest attributes and value tree-by-tree
Mapping and Inventory
A successful and cost-efficient forest inventory must take the following aspects into account:
- General considerations (accuracy, management unit size, users of the data)
- Existing databases (remote sensing data, old inventory data, models)
- Available resources (funding, equipment, infra)
- Measurement methods (sample vs. wall-to-wall inventory, stratification)
- Processing methods for the collected data (image processing, calculation of the desired metrics)
- Presentation of the results and integration to forest management information systems.
Our solutions for inventory and analysis
Large-scale forest inventory with satellite remote sensing
Making investment decisions for acquiring large forest areas in remote regions is often challenging due to old or non-existing inventory data.
For vast areas covering hundreds of thousands or even tens of millions of hectares, AFRY has developed cost-effective methods (achieved by using our existing codebase and openly available satellite data) to estimate the forest volume per species or species groups to a square unit of 10 x 10 metres.
The results can be aggregated to any geographical unit and used for further analyses, including long-term wood supply simulations.
Drone inventory measuring every individual tree
When the highest possible forest data accuracy is needed, drone inventory has emerged as a cost-efficient alternative to traditional manned LiDAR surveys.
A tree-based inventory with drones measures every single individual tree, generating a database that can be used as an input for forest valuation or forest management planning.
The tree data can be aggregated to management units of any size. In the conditions of Nordic boreal forests, management unit-specific volume estimates (for units of 1-10 ha) can reach accuracies that are 50% better when compared to traditional stand-by-stand inventories. Higher data accuracy allows more precise modelling and optimisation, ultimately increasing the value and economic returns of the forest.