High-Resolution Satellite & Historical Aerial Change-Detection Pipeline
“Detect Commercial Roof Additions, Lot Encroachments & Shoreline Shifts at 0.22m/px Satellite Resolution Across Multi-Decade Archives.”
Geospatial imagery acquisition and change-detection engine: converts WGS84 coordinates into exact Web Mercator (EPSG:3857) slippy-map XYZ tiles, computes Ground Sample Distance (GSD) meters-per-pixel resolution at target latitudes, and quantifies multi-epoch roof or shoreline footprint deltas.
CLAIM: Sub-0.30m/px Zoom 19 satellite tile indexing and automated ≥5% structural footprint change detection. PROOF: Deterministic Web Mercator and GSD calculator (skills/satellite-change-detection-gis/geospatial_tile_calc.py --selftest PASS).
How do we compare high-resolution satellite and historical aerial imagery to measure roof additions, lot changes, or property boundaries automatically?
Aria’s Geospatial Change-Detection Pipeline converts property GPS coordinates into exact Zoom 19 Web Mercator tiles, verifies sub-0.30m/pixel Ground Sample Distance (GSD) resolution, aligns historical Wayback and modern aerial epochs, and flags structural footprint changes ≥5% with exact square-footage deltas.
Production Stack
Proven Production Guarantees
- Verifies sub-0.30m/pixel Ground Sample Distance (GSD) at Zoom 19 before pulling commercial roof, parking lot, or shoreline inspection tiles.
- Computes exact Web Mercator `(X, Y, Z)` tile coordinates across historical Esri Wayback, NAIP, and Google Earth Pro imagery archives.
- Quantifies square-footage structural additions, impervious-surface expansion, and shoreline shifts automatically for underwriting and tax assessment audits.
Implementation & Verification Runbook
Execute the geospatial calculator self-test to verify Zoom 19 tile coordinates, sub-0.30m GSD, and footprint delta alerting.
python skills/satellite-change-detection-gis/geospatial_tile_calc.py --selftest