HRIS offers advanced AI-based, machine learning forest inventory solutions with both EFI and ITI capabilities
Enhanced Forest Inventory (EFI) and Individual Tree Inventory (ITI) are forest inventory approaches for collecting and analyzing data. Each approach has its strengths and applications, depending on available data and your inventory objectives.
HRIS provides the best of both worlds (combining EFI and ITI) in a single, unique and powerful forest and natural resource inventory. HRIS is flexible, designed to deliver superior data accuracy and reliability to meet your specific needs and project.
Advanced and automated AI-based, ML solutions with both EFI / ITI capabilities
Smarter, automated, intelligence-based inventory solutions. Fully transparent and comprehensive, HRIS supports multiple data sources, landscapes and applications.
Our HRIS solutions are flexible and fully scalable…from small woodlands to extensive forest and natural resource landscapes covering millions of acres and hectares.
HRIS uses accurately geolocated ground plots and a range of remote sensing data (LiDAR), colour infrared imagery, and multi-spectral satellite imagery. HRIS also uses polylines and polygons (disturbance, land cover, land use, roads, etc), terrain, climate and other data.
Our approach reliably automates the delineation of forest stand polygons, including land cover classification. We provide our clients with more comprehensive and statistically verifiable inventory attributes.
HRIS enables better decisions with fewer data points, supporting valid analysis with less errors and fewer ground plot samples.
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Enhanced Forest Inventory (EFI)
Focus is on an area-based inventory that is based on multiple data sources. Provides reliable and accurate stand-level data to optimize the management and growth of forest stands.
EFI offers standards, data and insights beyond what is available in conventional inventory products. Levels of detail and accuracy to support strategic and operational forest planning, and value chain optimization.
Advanced technologies and methods to analyze comprehensive data about forests.
Uses LiDAR, imagery, ground plots to generate attributes and characteristics that describe forest stands over large landscapes for change detection, carbon and eco impacts.
Individual Tree Inventory (ITI)
Focus is on detailed data collection and analysis of individual trees within a forest stand. This approach is typically more granular and precise compared to broader forest inventory methods.
ITI offers detailed and precise data to identify and attribute individual trees within a specific area.
Individual Tree Inventories enable forest stand analysis, growth models and yield predictions, as well as tree-specific growth, health and species composition.
ITI is ideal for detailed studies of smaller areas or specific stands, offering in-depth data on individual trees.
Check out our gallery of HRIS Individual Tree Inventories (including tree heights, diameters and species).