The Evidence Standard
Standardized Observation. Expert Verification.
POLLi® provides a governed framework for documenting and reviewing vegetation conditions visible in high-resolution imagery, while keeping model-assisted findings connected to the evidence used to produce them.
Why Evidence Matters
POLLi® combines standardized imagery collection, source-image traceability, and Subject Matter Expert review to create a more consistent evidence record.
This connection between imagery, analytical findings, expert review, and reported results supports comparison across monitoring cycles, reporting, and GIS workflows.
Our Approach to Data Integrity
Natural landscapes vary by season, location, and environmental conditions. Model outputs can help focus attention and accelerate review, but they are more useful when the underlying evidence remains available for inspection.
POLLi® keeps model-assisted findings connected to their source imagery so reviewers can understand what was captured, what was identified, and how the finding was reviewed.
How It Works
Building a Traceable Evidence Record
Standardized Collection
Consistent inputs, every monitoring cycle.
POLLi® establishes requirements-driven imagery standards, including defined ground sample distance and collection parameters, to help create consistent inputs for analysis and comparison across monitoring cycles.
Governed Review
Model-assisted findings, expert-verified.
POLLi® uses model-assisted findings to focus Subject Matter Expert review. SMEs can validate, reject, or correct findings where appropriate while maintaining the connection to the original imagery.
Evidence Pack Delivery
Standardized, GIS-ready records.
Reviewed findings can be delivered as standardized, GIS-ready Evidence Packs that preserve source-image traceability for operational review, reporting, and integration with Enterprise GIS or Asset Management systems.
Put Vegetation Evidence to Work
Use image-linked findings to focus expert review, communicate observed conditions, and inform vegetation-management decisions. Keeping the underlying imagery gives teams a shared reference to revisit findings as questions arise.
Common Milkweed Identification
POLLi® uses high-resolution imagery and a validated object-detection model to identify and quantify Common Milkweed, supporting repeatable monitoring, expert review, image-linked reporting, and remote-sensing workflows for Monarch CCAA monitoring.
Learn moreHabitat Index
POLLi® Habitat Index uses semantic segmentation to characterize visible vegetation and land cover across nine classes, producing quantitative results for review, comparison, reporting, and GIS workflows.
Learn moreMore Than a Model Library
"Imagine what you want to accomplish, then build the evidence foundation deliberately to support it."
Start with the monitoring, reporting, or vegetation-management questions that matter to your organization. POLLi® can help work backward from those objectives to the imagery, analytical capabilities, expert review, and evidence workflow needed to support them.
Today’s models are only part of the story. New capabilities can be developed and validated around the questions that matter to you.
POLLi® is the foundation that evolves with your questions over time.
Turn imagery into durable vegetation evidence.
POLLi® helps ROW and land stewardship teams collect consistent imagery, review model-assisted findings, and create traceable, GIS-ready records that support repeatable vegetation monitoring over time.