Mining operations survey weekly. Each survey is 500M+ points. GeoDataConverter classifies, generates DEM/DSM, computes stockpile and cut/fill volumes, and runs M3C2 epoch comparison — automatically, end-to-end.
Mining survey teams produce data faster than they can process it. Reconciliation slips. SMCRA paperwork piles up. Pit-wall stability waits behind volume reports.
2–3 days per site for traditional ground stockpile survey
Weekly cadence creates a continuous processing backlog
±10–15% accuracy from manual methods vs. ±2% drone-based
SMCRA reclamation reporting assembled by hand each quarter
Fourteen workflows mapped to the operational cadence of an active pit — weekly volume, monthly progression, quarterly reclamation, annual integrity.
| Workflow | Name & what it automates | Time saved |
|---|---|---|
| #24 | Stockpile Volume Stockpile, pit, and mound volumes from LiDAR/DEM with configurable base surface | 8 hr / site |
| #23 | Cut/Fill Analysis Cut and fill comparison between two terrain epochs with per-cell delta raster | — |
| #26 | Terrain Change Detection Elevation change quantification between temporal DEM pairs with significance mask | — |
| #276 | M3C2 LiDAR Epoch Comparison Statistically rigorous distance computation with LOD95 confidence — engineering-grade | — |
| #270 | Deep-Learning LiDAR Classification RandLA-Net semantic segmentation: ground, bench, road, stockpile, equipment, vegetation | — |
| #04 | Path Profile / Haul Road Grade Elevation profiles along haul road centerlines to verify 8–12% grade limits | — |
| #33 | NDVI Reclamation Monitoring Vegetation health time series for SMCRA revegetation compliance | — |
| #287 | LiDAR QA/QC Suite USGS LBS-compliant quality assessment per survey — point density, voids, classification | — |
| #305 | Construction Equipment Tracking MobilityDB trajectory storage with geofence + idle detection for shovels, haulers, drills | — |
| #280 | Temporal Analytics Dashboard API TimescaleDB REST API for stockpile volume / pit progression trend queries | — |
Modeled on a Tier-2 surface mine with weekly stockpile surveys across 8 active pads and quarterly SMCRA reclamation reporting.
| Metric | Manual / current tooling | GeoDataConverter |
|---|---|---|
| Stockpile survey processing time | 8 hours | 12 minutes |
| Annual processing labor (52 cycles × 8 pads) | $291,200 | $36,000 |
| M3C2 LOD95 confidence on volume | Not produced | Per-survey |
| SMCRA reclamation report assembly | 5–8 days | 1 day |
Workflow #276 implements the Multiscale Model-to-Model Cloud Comparison algorithm with per-point Level of Detection at 95% confidence. This isn't raster differencing — it's the published algorithm geotechnical engineers cite in stability reports. Pair it with #305 equipment tracking and you can correlate displacement signals against blast events, rainfall, and equipment proximity.
Send us 4 consecutive weeks of stockpile survey data. We'll process every survey through the automated pipeline and return volumes, cut/fill, and an M3C2 trend report.