About
This app uses LiDAR on compatible iPads to scan and estimate the volume of forest slash piles in real-time. It generates 3D models and allows for offline processing, making it ideal for forestry operations and research in remote areas.
What's New in SlashScan
1.1
April 18, 2026
1. Improve scan visibility 2. Fix minor bugs
FAQ
What devices does SlashScan support?
SlashScan requires a LiDAR-equipped iOS device. It is fully supported on iPhone 12-17 Pro and Pro Max models, as well as specific iPad Pro models including the 13-inch (M4), 12.9-inch (5th & 6th Gen), and 11-inch (3rd & 4th Gen).
Can I use SlashScan without an internet connection?
Yes, SlashScan is designed for offline use. All processing, including scanning, reconstruction, and volume computation, occurs locally on your device, making it suitable for remote forest sites.
How accurate is SlashScan's volume estimation?
SlashScan provides accurate volume estimation by generating precise 3D models of slash piles. The app is developed through research at Oregon State University’s College of Forestry, indicating a focus on scientific accuracy.
What are the main applications for SlashScan?
SlashScan is useful for forest biomass and slash-pile inventory, post-harvest residue and fuel-load management, validating UAV-LiDAR surveys, and for educational demonstrations in forest engineering and remote sensing.
Does SlashScan have ads?
No, SlashScan does not contain advertisements. It is a free application developed for specific forestry and research purposes.
How often is SlashScan updated?
The latest version of SlashScan is 1.1, which was last updated on April 18, 2026. This indicates a recent update, suggesting ongoing development and support for the application.
What is the age rating for SlashScan?
SlashScan has an age rating of 4+. This means it is suitable for users of all ages, with no mature content restrictions.
What is the user sentiment for SlashScan?
Based on the provided data, SlashScan has a perfect 5.0-star rating from 2 reviews. This suggests a highly positive user sentiment among its current user base.