1
Scope Definition
Parcel-Sense works with the jurisdiction to define the geographic area and obtain parcel boundary data, assessment records, and aerial imagery.
Workflow
How Parcel-Sense Works
Parcel-Sense produces a full parcel-level inference dataset, supported by limited quality review, calibration when needed, and filtering guidance that helps jurisdictions surface contradictions between assessment records and imagery observations.
Input
Parcel boundaries, assessment records, and aerial imagery.
Process
Parcel-aware imagery analysis, limited quality assurance review, and calibration only when needed.
Output
A full inference dataset with model outputs, consensus indicators, footprint square-foot estimates, and review guidance.
Six-Step Process
Built for parcel-scale reconciliation.
The workflow is designed to give assessment offices a complete inference dataset, not just a small set of hand-picked examples.
2
Parcel-Level Analysis
Imagery is analyzed at the parcel level using parcel-aware computer vision models. The resulting observations are recorded alongside existing assessment data.
3
Quality Assurance Review
A limited sample of model outputs is manually reviewed against assessment records and imagery to evaluate performance and identify potential sources of error.
4
Calibration If Necessary
If the quality review identifies issues related to imagery characteristics, local development patterns, or record structures, models may be calibrated for the jurisdiction. If no material issues are identified, no additional calibration is performed.
5
Full Dataset Generation
Parcel-Sense generates a complete parcel-level inference dataset for the project area. The dataset contains model outputs, consensus indicators, footprint square-foot estimates, and agreement indicators between imagery-derived observations and existing assessment records.
6
Delivery and Review Guidance
The jurisdiction receives the full inference dataset along with filtering and sorting recommendations designed to surface potential contradictions between assessment records and imagery observations.
Example Review Filters
Designed to help staff find the records that deserve attention.
Filtering and sorting guidance helps jurisdictions move from a full parcel dataset to the records most likely to need review.
Parcels recorded as vacant land where imagery indicates the presence of improvements.
Parcels where imagery suggests detached structures not reflected in assessment records.
Parcels where imagery observations and assessment records show strong agreement, allowing staff to focus review efforts elsewhere.
Parcels recorded as improved where imagery indicates the absence of improvements.
Final determinations remain the responsibility of the jurisdiction.
Get Started
Request a free 1,000 parcel scan.
Start with a limited scan to evaluate how Parcel-Sense fits your imagery, records, and internal review workflow.
Email: jarrett.williams@parcel-sense.com