
Trusted by forestry operators to automate what once took days of dangerous fieldwork into instant, accurate reporting.
Forestry companies rely on highly inefficient and expensive manual labor to measure leave products and survey cut blocks — a process that is failing to scale, reduce expenses or generate profit.
Labor costs to manually measure slash piles and log decks continue to skyrocket.
Manual hip-chain measurements fail to provide reliable and timely compliance reporting.
Valuable agronomists and surveyors are wasting their skill set bridging basic technology gaps.
Sending 2-man teams into remote, weather-impeded terrain dramatically increases man-hours at risk.
PanSilva is an AI platform using advanced computer vision that automates forestry survey data into regulatory / compliance reporting from drone, aerial and satellite imagery — in seconds.
BEFORE

Slow, expensive, high-risk for field teams navigating remote terrain.
AFTER

Drone, Aerial or satellite imagery → Instant AI Processing → Custom KML/CSV Output.
Most surveys take days of field work that are now completed in minutes — saving thousands of man-hours and dramatically reducing operational overhead and risk.
Deploy a drone over the cut block. No specialized equipment needed.
Submit imagery to the PanSilva platform. AI processes it instantly.
Receive a complete compliance report in minutes, not days.

Wood destined for winter burning, auto-detected and measured.
Piles ready for transport, identified and sized instantly.
Full detection and area calculation from overhead imagery.
Logging access roads and block perimeters mapped automatically.


PanSilva architecture uses complex neural networks and sub-pixel level change detection tailored specifically for use and application in a forestry environment setting.
Determines object boundaries from high-probability seeds, expanding outward — critical for detecting fractal features like slash piles.
Analyzes simultaneously pixel-wise data at multiple octave scales, classifying everything from small sticks to massive landforms in a single pass.
Estimates 3D volume of slash piles and log decks from overhead 2D imagery combined with shadows and LiDAR data.
PanSilva's AI platform expands from post-harvest surveys to full-lifecycle environmental stewardship and compliance.
Drone mapping and AI object detection of slash piles, log decks, and roads.
SilvaCulture management using multispectral drone and satellite imagery to assess plant health for regulatory compliance.
LiDAR scans to calculate tree width, height, and species — replacing manual hip-chain measurement entirely.
VP Business and Corporate Development
Drives strategic partnerships and revenue growth, taking deep tech from concept to commercial scale.
Professor of CS at LSU; 100+ AI/ML publications (DARPA, ONR). Winner of IBM Watson X-Prize.
35-year NASA Remote Sensing lead. Awarded the NASA Distinguished Service Medal.
Chief Operating Officer
Solution design and integration specialist with 12 years supporting NATO missions and national infrastructure rebuilds.
MIT Graduate. Machine Learning expert with NSF and CDC research support.
PhD in AI. 10 years experience in machine learning and image processing.
PanSilva Technologies: redefining environmental stewardship — automating what once took days of dangerous fieldwork into instant, accurate, and compliant reporting.
Simple 1, 2, 3 — PanSilva puts powerful AI in the hands of every forestry operation, regardless of size.
Or reach us directly at patrick@pansilva.net
Transforming Forestry Operations Across North America