Why Move WebODM to the Cloud? (And When Not To)
WebODM cloud vs local: AWS spot costs ($3-5/job), egress surprises, decision framework for when cloud wins vs when your workstation is better.
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18 articles on photogrammetry. Field-tested methodology from a GIS scientist with M.S. GIS, FAA Part 107, and 10+ years of geospatial work.
WebODM cloud vs local: AWS spot costs ($3-5/job), egress surprises, decision framework for when cloud wins vs when your workstation is better.
After WebODM split from OpenDroneMap in April 2026, two parallel stacks exist: WebODM's ODX/NodeODX/ClusterODX/CloudODX/PyODX vs OpenDroneMap's ODM/NodeODM/ClusterODM/PyODM. Architecture, naming, licensing, hardware, and vs Pix4D.
NeRF vs photogrammetry for drone mapping: accuracy numbers, output products, georeferencing limits, and a decision framework for when each wins.
Drone processing checklist: CRS setup, alignment QA, GCP integration, checkpoint validation, quality report review. Prevents accuracy failures.
Consumer drone mapping buyer's guide: DJI Mini 4 Pro vs Mini 3 Pro vs Autel Evo Nano+. Accuracy, rolling shutter, GCP needs — field-tested verdicts.
WGS84 vs NAD83, state plane, vertical datums — the CRS settings drone operators get wrong, and how to fix them in Metashape, Pix4D, and ODM.
An orthomosaic is a georeferenced image mosaic built from overlapping drone photos. How photogrammetry creates one, GSD, GeoTIFF vs COG, GIS use.
DSM vs DTM vs DEM for drone operators: definitions, how each is derived from photogrammetry, ground classification, and when each product is required.
LiDAR vs photogrammetry for drone surveys: real accuracy numbers, hardware costs, processing workflows, and a decision framework — when each technology wins, and when it doesn't.
WebODM split from the OpenDroneMap nonprofit on April 6, 2026. What changed, why, and migration steps — new GitHub URLs, Docker images, docs.
WebODM vs Metashape vs Pix4D vs RealityCapture compared for 2026: real pricing, processing speed, accuracy, and GCP workflow — which wins for survey reports, 3D meshes, and free pipelines.
Real drone survey accuracy in 2026: ±2–5 cm horizontal, ±3–12 cm vertical typical. RMSE vs CE90 vs LE90 explained, ASPRS classes, 5 red flags in any quality report.
RTK vs PPK for drone surveys: both hit 1-3cm accuracy. RTK corrects in real time, PPK processes post-flight. Failure modes, costs, when to use each.
How many GCPs does a drone survey need? 5 for under 5 acres, 8-12 for 50-500. Distribution beats density. Always include independent checkpoints.
PIX4Dmatic 2.0 absorbs PIX4Dsurvey into three tiers. Full comparison vs Metashape and DJI Terra on price, accuracy, GCP workflows, and deliverables.
Drone mapping hardware guide: CPU, GPU, RAM, NVMe requirements for photogrammetry. Workstation builds by project size and processing software.
Drone data explained: imagery, orthomosaics, point clouds, elevation models, 3D meshes. How photogrammetry turns photos into geospatial products.
AeroCartwright: drone mapping education and geospatial tools from a working GIS professional with firefighting, academic, and federal field experience.
Free download: The Complete Drone Mapping Workflow Guide — 30+ pages of field-tested methodology.
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