How Accurate is Arboreal Forest? Test It Yourself!

Johan Ekenstedt

08 Aug 2024

Curious about the accuracy of Arboreal Forest? Why not test it yourself?

We understand it can be challenging to design a good test methodology. That's why we're sharing our experience from years of testing to help you evaluate the app's performance accurately.

  1. Comprehensive Testing Guide: Watch our video tutorial on how to evaluate the app's diameter, height, and area estimations.

  2. Shareable Results: We're providing our test results in an Excel file, which you can download and use as a template for your own tests.

  3. Impressive Accuracy: Our results speak for themselves:

    • Diameter: Bias of 1.1 mm with a Mean Average Error (MAE) of 3.88%
    • Height: MAE of 0.22 meters or 0.9%
    • Area: Bias of 0.3% with MAE of 0.85%
  4. Try It Yourself: Download the Excel template and conduct your own tests to see how Arboreal Forest performs in your specific conditions.

We're confident you'll find the results as impressive as we do. Arboreal Forest combines ease of use with remarkable accuracy, making it an invaluable tool for forest inventory and management.

Ready to put Arboreal Forest to the test? Download the app and our Excel template, and start your accuracy evaluation today!

Good luck with your measurements, and we look forward to hearing about your results!

Written by

Johan Ekenstedt

Johan Ekenstedt

CEO and iOS developer at Arboreal. Making it easier to measure, understand and manage trees and forests.

LinkedIn

Latest news

service logo
Tutorial, Diameter, Circumference, Crown, Arboreal Tree

It Was Never Just Tree Height — The Advanced Measurements in Arboreal Tree for iOS

Johan Ekenstedt

5 Aug 2026

When we launched, this app was called Arboreal Tree Height. We dropped that last word a while ago — here's everything else that's in there. A new tutorial for the iOS version walks through diameter, circumference, crown shape, crown width and height, and how to measure a tree you can't even get close to. Under three minutes.

service logo
Traceability, Optical Fingerprinting, Log Tracking, Research, TreeID

Optical fingerprinting of logs — finally ready for deployment

Johan Ekenstedt

25 Jun 2026

For two decades, recognising a log from the features it already carries — no tag, no paint, no barcode — was a research problem. It's now mature enough to deploy. Here's how the field got here, and what it took to turn it into a working service.