Automated interpretation for the forest inventory data that feeds Canada's climate, biodiversity, and sustainable forest management reporting obligations — at the speed of satellite data.
Inventory-conformant outputs by design — not generic AI imagery analysis requiring specialist post-processing.
Manual interpretation is a hard ceiling on the cadence of data that sovereign climate and biodiversity reporting depends on. This is infrastructure relief, not a productivity tool.
Optical, LiDAR, and SAR combined. Cloud-penetrating. Three-dimensional. More accurate and more robust than any single-modality approach.
Founded by a former NFI remote sensing analyst. The system is designed by someone who knows exactly what the data needs to look like.
Forest inventory today. Wildfire monitoring, carbon verification, and civil infrastructure monitoring on the same technical foundation.
Vecterra Spatial Analytics is developing an automated forest inventory interpretation system that produces standards-conformant outputs from multi-sensor satellite and aerial data. We are targeting Canadian federal and provincial inventory programs and B2B partners in the private forest sector with interests in national forest inventories.
The data produced by national forest inventory programs underpins reporting to the United Nations Framework Convention on Climate Change, the FAO Global Forest Resources Assessment, and the Convention on Biological Diversity — obligations shared by governments worldwide. Vecterra exists to remove the manual interpretation bottleneck that limits the cadence, granularity, and cost-effectiveness of that foundational data layer.
We are currently in active development, with a production system targeted for late 2026, and are engaging with federal funding programs and academic partners.
The same multi-sensor processing infrastructure that powers forest inventory interpretation has direct applications in wildfire monitoring, carbon market verification, and longer-horizon civil infrastructure monitoring.
Mark Stone is the founder and CEO of Vecterra Spatial Analytics. He is a former Remote Sensing and GIS Analyst with Natural Resources Canada's National Forest Inventory program, with over a decade of geospatial experience across federal and provincial work. He has previously co-founded and managed a federally licensed company in a regulated sector. He holds a BA from the University of Victoria and professional credentials in GIS and LiDAR analysis.
Interested in early access, partnership, or investment? Contact us for a briefing and business plan.