Vegetation Recovery Assessment
Drone-based deep learning for seismic line, well site, and pipeline recovery monitoring. Wall-to-wall, every tree counted, every metre classified.
The Challenge
You need to prove your site is recovering. Current methods can't keep up.
Helicopter sketch-mapping gives you broad estimates but misses individual trees. Field plots sample a fraction of a percent of your site. Neither gives you a defensible, wall-to-wall picture of what's actually growing back — and how fast.
Regulators want evidence. Your reclamation timeline depends on it. You need spatial data that covers the entire disturbance, counts every seedling, and holds up to scrutiny.
What drones changes for you
Field surveys are accurate at the point level — but they can't give you the full spatial picture, and every site visit carries risk.
Screen before you send
Know the state of your sites before committing field crews. Prioritize where to send people and where the data already speaks for itself. Save field budget for where it matters most.
Every tree, every metre
Our deep learning models count individual conifer seedlings and deciduous trees across the entire disturbance. Not a sample — the full picture. Thousands of trees detected per site, automatically.
Defensible and repeatable
Consistent methodology, consistent results. Fly the same site year after year and show quantifiable progress. The kind of spatial evidence that supports reclamation applications.
How it works
Phase 1
We fly your sites
Fixed-wing or multirotor drone flights capture sub-centimetre imagery across your seismic lines, well sites, roads, or pipelines. Large-area operations use beyond-visual-line-of-sight (BVLOS) flights to cover hundreds of hectares efficiently.
Phase 2
Deep learning processes every pixel
Our AI models — trained on a decade of boreal ecosystem data — detect and count individual seedlings, classify ground cover, map water features, and identify bare earth across the entire disturbance footprint.
Phase 3
You get actionable maps and data
GIS-ready spatial products showing recovery status for every metre of your site. Seedling density maps, cover classification, fragmentation analysis, and an integrated recovery assessment — ready for regulatory submission or internal planning.
Get a quote
Tell us about your sites and we'll scope a project. Typical turnaround from first conversation to proposal is one week.
What We Deliver
Seedling Detection
Individual conifer and deciduous tree counts using NeedleNet and LeaveNet deep learning models
Vegetation Cover
Total vegetation canopy coverage classified across the full disturbance footprint
Recovery Classification
Integrated assessment combining all indicators into a site-level recovery rating
Already delivering drone + AI solutions for vegetation recovery
CENOVUS · PETRONAS · ConocoPhillips · Chipewyan Prairie First Nation · Mikisew Cree First Nation
Spun out of the University of Calgary's BERA Project · 10+ years of boreal ecosystem research
info@falconandswift.ca · falconandswift.ca · Calgary, AB