Arboreal

Smartphone forest inventory using AR, lidar and GNSS, plus TreeID, which identifies individual logs from their end-grain pattern.

Inventory & mappingSweden

Arboreal is a Swedish forestry-tech company (arboreal.se). Its Arboreal Forest app combines augmented reality, LiDAR and GNSS for fast, accurate forest inventory measurements from a smartphone (digital caliper for tree height, diameter, stand metrics). Arboreal also operates TreeID.io, a service that identifies individual logs from end-grain ring patterns, developed as part of the EU Horizon SINTETIC project.

What Boreal Tech Brief reported

  1. #05130 Jun 2026 · News

    Arboreal builds a working log-ID service from a method it first doubted

    Sweden's Arboreal, known for its smartphone forest-inventory app, has turned a method for identifying an individual log from a single end-grain photo into a running service, treeid.io. The underlying research claimed 100 percent identification accuracy, a figure Arboreal distrusted after years of its own algorithms topping out at 97 to 99 percent. The team tested it inside the EU's SINTETIC traceability project, and it held up.

  2. #0202 Dec 2025 · Launch

    Arboreal adds RTK-grade tree coordinates via Emlid Reach RX

    Arboreal Forest now connects to the Emlid Reach RX GNSS receiver, combining RTK position with AR and LiDAR measurements in the app to calculate stem centers within a few decimeters. This enables precise plot revisits, UAV-ground data fusion and higher-precision planning under dense Nordic canopy.

  3. #00930 Sep 2025 · News

    Arboreal and Skogshubben automate field data for mapping

    Arboreal and Skogshubben have integrated digital tools so forest owners can easily measure and record data via smartphone, instantly visualizing results in mapping and planning platforms for more rapid, accurate, and data-driven forest management.

  4. #00616 Sep 2025 · News

    Arboreal Forest App Enhances Tree Measurement with LiDAR-Image Fusion

    Arboreal Forest's new app update combines LiDAR and image analysis to filter out branches, enabling faster, more accurate tree diameter measurements in dense forests using iPhones.