Cory Glenn Garms

Real-Time Forest Inventory from a $2,200 Sensor Payload

Replacing $100,000 LiDAR rigs with an automated mobile perception cart that maps 100% of trees under dense canopy with zero GPS.

Traditional forest inventory relies on slow manual calipers or expensive laser scanners. Funded by the USDA-NIFA STTR Program, CUTMAP pairs a solid-state LiDAR and stereo cameras with edge AI on an NVIDIA Jetson—measuring tree diameters with sub-centimeter accuracy in seconds. Developed by Spectral Sciences, Inc. in partnership with Dr. Bogdan Strimbu at the Oregon State University College of Forestry.

Live WebGL Visualization

Interactive 3D Understory Scans

Drag to spin the 3D trees. Use the top buttons to switch between stands or toggle the elevation height colormap.

Grove 1118,591 pts
Livox Mid-360S • 200 Hz IMULoop: 84.2 m
Active Dataset:Eastern White Pine — Grove 1 (Burlington, MA)
• Left-Drag: Orbit / Rotate• Scroll: Zoom Depth• Right-Drag: Pan Stand
Operational Benchmarks

The Numbers at a Glance

~$2,200
Hardware Payload Cost
25× cheaper than $50k–$100k commercial MLS rigs
80 mm
Canopy Drift over 425 m
Zero GPS required under dense closed canopy
98.6%
Field Tree Tally Recall
73 of 74 trees confirmed across 3 native stands
R² = 0.98
Logger's Tape Accuracy
Validated against physical diameter tape (RMSE 3.1 cm)
< 5 sec
Stand Compute Turnaround
Instant real-time edge processing on Jetson AGX Orin
< $5 / acre
Estimated Survey Cost
100% census vs. $25+/acre for 5% manual sampling
Simple Concept

How CUTMAP Works in the Field

01

Traverse Without GPS

A forester, UTV, or robotic rover rolls the low-cost sensor cart through the stand. Real-time LiDAR-inertial SLAM maps the terrain with zero satellite dependency.

02

Automatic Breast-Height Slicing

Onboard algorithms calculate ground elevation under the cart, isolating a thin LiDAR slice at exact 1.37 m breast height while ignoring low brush and ground clutter.

03

Instant Digital Inventory

In under 5 seconds per stand, cylinders lock onto individual trees, outputting exact diameters, stem coordinates, and GIS-ready shapefiles for immediate analysis.

Operational Proof of Concept

Real-Time Edge Perception in Action

Direct screen capture from the onboard NVIDIA Jetson AGX Orin. Watch 17 tree cylinders lock in 3.9 seconds as the cart traverses a native pine stand.

Native Pine Stand Traverse: 3.94s stand turnaround • 95.4% point volume reduction • ±2.0 cm accuracy target: PASS
Explore Teaming Options →
Commercialization Hub

Four Ways to Team With Us

Spectral Sciences, Inc. is actively structuring Phase II teaming agreements for joint field pilots and commercial licensing.

Track 01

Timberland Managers & TIMOs

Replace slow, expensive 5% manual cruise samples with continuous 100% stem census data (<$5/acre) ready for ArcGIS, Remsoft, and carbon registries.

Track 02

Machinery & Autonomous OEMs

Integrate a compact, low-power (<40W) perception payload into harvester cabs, forwarders, tracked rovers, or quadruped scouts.

Track 03

Federal Co-Funding (Phase II STTR)

Partner on upcoming USDA-NIFA Phase II STTR grants to co-develop customized sensor packaging and regional timberland validation at low financial risk.

Track 04

Commercial Licensing & Exclusivity

Secure preferential commercial licensing terms and territory rights for Spectral Sciences' proprietary multi-sensor calibration and forest AI stack.

Discuss a Phase II Field Pilot

Connect directly with Principal Investigator Dr. Cory Glenn Garms.

Email: cgarms@spectral.com →
Scientific Backing

Peer-Reviewed Publications

Primary Methodological Paper In Final Preparation

Calibrating a Low-SWaP-C Lidar–Stereo Platform: Staged Procedures, Failure Coupling, and Operational Validation

Garms, C.G., Strimbu, B., et al. (2026) • Target: Journal of Field Robotics (In Final Preparation)

Demonstrates how multi-sensor calibration integrity achieves sub-millimeter precision from low-cost solid-state perception.

Conference Proceeding Accepted / Invited

CUTMAP: A Low-SWaP-C Mobile Mapping Platform for Forest Mensuration: Calibration Integrity, Sensor Fusion, and Ground-Truth Prototyping

Garms, C.G., Strimbu, B., et al. (2026) • 2026 Joint Meeting of the Northeastern Mensurationist Organization (NEMO) & Southern Mensurationists (SOMENS), Portland, ME

Field validation against 65 logger's-tape stems across native forest stands in Burlington, MA.

Foundational Lean Research Published

Impact of stem lean on estimation of Douglas-fir diameter and volume using mobile lidar scans

Garms, C.G. & Strimbu, B. (2021) • Canadian Journal of Forest Research, 51(8), 1184–1195

Formulates non-destructive 3D cylinder fitting to eliminate systemic bias in merchantable volume calculations.

Read paper →
Dr. Cory Glenn Garms
Senior Scientist & CUTMAP Principal Investigator
Spectral Sciences, Inc. • Burlington, MA
Sponsored by USDA-NIFA under the SBIR/STTR Program • Academic Teaming Partner: Oregon State University College of Forestry (Dr. Bogdan Strimbu) • Proprietary Technology © 2026 Spectral Sciences, Inc.