Algorithmic Land-Use Classification
CertoPlot does not rely on static optical imagery. The ingestion pipeline feeds the most recent rolling 12 months of global earth observation data into a custom Random Forest classification model. By utilizing Synthetic Aperture Radar (SAR), the engine penetrates regional cloud cover and atmospheric interference, guaranteeing continuous, high-fidelity monitoring of your natural resource source locations.
The Baseline Metric: Every submitted polygon is deterministically cross-referenced against a strict 2020 regulatory baseline to identify structural canopy disturbances and land-use variations with pinpoint spatial precision. Looking at locations one 4 hectare grid at a time.
Tiered Reports - Tailored to Client Needs
To ensure absolute regulatory certainty and eliminate algorithmic false positives, CertoPlot operates on a dual-tier verification protocol, if requested.
Tier 1 - Algorithmic Clearance
Automated compliance. Submitted coordinates that demonstrate zero deviation from the 2020 SAR baselines are instantly cleared by the Random Forest model. The system programmatically generates an unalterable, audit-ready PDF ready for immediate regulatory submission.
Tier 2 - Expert Spatial Escalation
If the classification model detects potential deforestation or land-use anomalies, and a Tier 2 report is requested. A senior spatial data engineer conducts a manual, high-resolution review of the flagged coordinates. This provides definitive human context, ruling out seasonal crop variations or false positives.
Standardized Regulatory Output
Raw geospatial data is distilled into highly structured, audit-supporting documentation. Every CertoPlot EUDR report includes mapped polygon boundaries, SAR-backed historical baseline comparisons, and a model-derived land-use classification summary. Integrate the output directly into your existing supply chain management software to seamlessly support and streamline your internal compliance pipelines.