Build reproducible, Python-driven photogrammetry pipelines for drone mapping. Automate image alignment, ground control point optimization, DEM/DSM generation, and export workflows with battle-tested open-source tooling.
This site is for UAV operators, surveying technicians, and Python GIS developers who need to move past black-box mapping software. Every guide treats photogrammetry as a deterministic software-engineering discipline — strict data schemas, explicit geospatial alignment, and automated resource controls that scale from a single mission to enterprise fleet operations.
You'll find production-grade solutions to the failures that actually break mapping jobs: RAM exhaustion during dense matching, silent CRS drift, alignment convergence failures, and batch scaling bottlenecks — each with copy-ready Python you can drop into your own pipeline.
Three pillars, each a complete workflow from ingestion to survey-grade export.
Treat photogrammetry as deterministic software: schema-enforced ingestion, geometric validation, strict CRS handling, and resource-aware orchestration.
Feature detection, bundle adjustment, parallel matching, and memory-safe point-cloud workflows that survive large UAV datasets.
Auto-tag GCPs, distribute residual errors, transform coordinates with pyproj, and lock survey-grade accuracy thresholds.