# opendronemap/opendronemap

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6,196 stars · 1,287 forks · Python · AGPL-3.0

## Links

- GitHub: https://github.com/OpenDroneMap/OpenDroneMap
- Homepage: https://opendronemap.org
- awesome-repositories: https://awesome-repositories.com/repository/opendronemap-opendronemap.md

## Description

A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷

## Tags

### Part of an Awesome List

- [Orthophoto and Elevation Model Generators](https://awesome-repositories.com/f/awesome-lists/data/terrain-and-elevation/digital-terrain-model-generation/orthophoto-and-elevation-model-generators.md) — Converts overlapping aerial photos into georeferenced orthophotos, 3D models, point clouds, and digital elevation models.
- [Terrain and Elevation](https://awesome-repositories.com/f/awesome-lists/data/terrain-and-elevation.md) — Computes a raster surface representing terrain elevation from drone imagery for analysis and planning. ([source](https://docs.opendronemap.org/))
- [Digital Terrain Model Generation](https://awesome-repositories.com/f/awesome-lists/data/terrain-and-elevation/digital-terrain-model-generation.md) — Generates georeferenced digital elevation models from aerial imagery for terrain analysis. ([source](https://cdn.jsdelivr.net/gh/opendronemap/opendronemap@main/README.md))
- [3D Point Cloud Representations](https://awesome-repositories.com/f/awesome-lists/ai/point-cloud-and-3d-processing/3d-point-cloud-representations.md) — Produces classified 3D point cloud data from drone images for volumetric measurements and analysis. ([source](https://docs.opendronemap.org/))
- [Classified Point Clouds](https://awesome-repositories.com/f/awesome-lists/ai/point-cloud-and-3d-processing/3d-point-cloud-representations/classified-point-clouds.md) — Labels points in generated 3D point clouds by category such as ground, vegetation, or buildings. ([source](http://docs.opendronemap.org/))
- [Camera Calibration](https://awesome-repositories.com/f/awesome-lists/ai/pose-estimation/camera-calibration.md) — Estimates intrinsic and extrinsic camera parameters from imagery to improve reconstruction accuracy. ([source](https://docs.opendronemap.org/))
- [Cloud-Optimized GeoTIFF Generators](https://awesome-repositories.com/f/awesome-lists/data/terrain-and-elevation/digital-terrain-model-generation/cloud-optimized-geotiff-generators.md) — Produces georeferenced GeoTIFF orthomosaics with real-world coordinates from drone imagery.
- [Digital Surface Models](https://awesome-repositories.com/f/awesome-lists/data/terrain-and-elevation/digital-terrain-model-generation/digital-surface-models.md) — Creates a DSM capturing elevation of all surface features including vegetation and structures. ([source](https://docs.opendronemap.org/arguments/))
- [C Geospatial Libraries](https://awesome-repositories.com/f/awesome-lists/devtools/c-geospatial-libraries.md) — Tool for processing drone data into orthophotos and point clouds.
- [Low Level Geospatial Libraries](https://awesome-repositories.com/f/awesome-lists/devtools/low-level-geospatial-libraries.md) — Processes drone imagery into geographic data.

### Graphics & Multimedia

- [Aerial Photogrammetry Pipelines](https://awesome-repositories.com/f/graphics-multimedia/aerial-photogrammetry-pipelines.md) — Runs a complete Structure-from-Motion pipeline that reconstructs 3D geometry and maps from unordered aerial image collections. ([source](https://docs.opendronemap.org/))
- [Point Cloud Generators](https://awesome-repositories.com/f/graphics-multimedia/3d-point-cloud-spatial-mappers/point-cloud-generators.md) — Converts overlapping aerial photos into dense, classified point clouds in LAZ format. ([source](https://cdn.jsdelivr.net/gh/opendronemap/opendronemap@main/README.md))
- [DEM Gap Fillings](https://awesome-repositories.com/f/graphics-multimedia/area-filling-and-clearing/dem-gap-fillings.md) — Fill empty areas in a DEM using progressive inverse distance weighted interpolation and nearest neighbor. ([source](https://docs.opendronemap.org/arguments/))
- [Photogrammetry Orchestrators](https://awesome-repositories.com/f/graphics-multimedia/media-processing-analysis/media-manipulation/media-processing/command-line-toolkits/photogrammetry-orchestrators.md) — Orchestrates a sequential chain of photogrammetry stages from feature extraction through dense reconstruction to final output generation.
- [Georeferenced Image Alignments](https://awesome-repositories.com/f/graphics-multimedia/single-image-3d-reconstructions/shared-coordinate-space-alignments/georeferenced-image-alignments.md) — Orients all input photos to a common geographic reference for consistent output. ([source](https://docs.opendronemap.org/))
- [Classified Point Clouds](https://awesome-repositories.com/f/graphics-multimedia/3d-point-cloud-spatial-mappers/point-cloud-generators/classified-point-clouds.md) — Produces 3D point clouds from drone imagery with classification for terrain and objects. ([source](https://docs.opendronemap.org/))
- [3D Texture Workflows](https://awesome-repositories.com/f/graphics-multimedia/3d-texture-workflows.md) — Reconstructs three-dimensional meshes of surveyed areas with photographic texture applied for realistic visualization. ([source](http://docs.opendronemap.org/))
- [Interactive 3D Viewers](https://awesome-repositories.com/f/graphics-multimedia/embedded-3d-viewers/interactive-3d-viewers.md) — Provides tools within the 3D viewer to clip sections, take measurements, and navigate the scene. ([source](https://docs.opendronemap.org/))
- [Point Cloud Viewers](https://awesome-repositories.com/f/graphics-multimedia/embedded-3d-viewers/point-cloud-viewers.md) — Displays processed point clouds and models in an interactive Potree 3D viewer for inspection and measurement. ([source](https://docs.opendronemap.org/))
- [Potree WebGL Viewers](https://awesome-repositories.com/f/graphics-multimedia/embedded-3d-viewers/point-cloud-viewers/potree-webgl-viewers.md) — Integrates the Potree JavaScript library to render and interact with large point clouds and 3D models directly in a web browser.
- [Image-to-3D Texture Engines](https://awesome-repositories.com/f/graphics-multimedia/graphics-engines-rendering/rendering/systems/3d-graphics-pipelines/texture-mapping-pipelines/texture-based-data-pipelines/image-to-3d-texture-engines.md) — Reconstructs three-dimensional textured meshes from overlapping drone images for visualization and measurement. ([source](https://cdn.jsdelivr.net/gh/opendronemap/opendronemap@main/README.md))
- [Photogrammetric Texture Mappers](https://awesome-repositories.com/f/graphics-multimedia/graphics-engines-rendering/rendering/systems/3d-graphics-pipelines/texture-mapping-pipelines/texture-based-data-pipelines/image-to-3d-texture-engines/photogrammetric-texture-mappers.md) — Reconstructs three-dimensional meshes and applies photographic texture from the input images. ([source](https://docs.opendronemap.org/))
- [OGC 3D Tiles Generators](https://awesome-repositories.com/f/graphics-multimedia/graphics-engines-rendering/tile-map-renderers/viewport-aware-tiling/asynchronous-tile-loading/3d-tiles-streaming/ogc-3d-tiles-generators.md) — Generates OGC-standard 3D Tiles from photogrammetry reconstructions for web visualization. ([source](https://docs.opendronemap.org/))
- [Drone Image Processing](https://awesome-repositories.com/f/graphics-multimedia/image-editing-processing/image-processing/remote-processing-offloading/drone-image-processing.md) — Enables running the full processing pipeline on a remote server to handle large datasets from low-bandwidth locations.
- [OpenSfM-Based Reconstructors](https://awesome-repositories.com/f/graphics-multimedia/sparse-3d-reconstructors/opensfm-based-reconstructors.md) — Uses the Open Structure from Motion library to estimate camera poses and produce sparse 3D point clouds.
- [Drone-Based Volume Measurements](https://awesome-repositories.com/f/graphics-multimedia/text-dimension-measurement/3d-geometry-measurements/drone-based-volume-measurements.md) — Calculates material volumes from drone-captured 3D models for inventory and construction management. ([source](https://docs.opendronemap.org/))
- [DEM](https://awesome-repositories.com/f/graphics-multimedia/video-converters/resolution-configurators/dem.md) — Specify the DSM/DTM resolution in centimeters per pixel, capped by a ground sampling distance estimate. ([source](https://docs.opendronemap.org/arguments/))

### Artificial Intelligence & ML

- [3D Reconstruction](https://awesome-repositories.com/f/artificial-intelligence-ml/foundation-models/3d-reconstruction.md) — Builds textured 3D meshes and point clouds from overlapping aerial photos for visualization and measurement.
- [Georeferencing](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/frameworks/computer-vision/reconstruction-tools/georeferencing.md) — Stitches and aligns aerial images into a single, geometrically corrected map with real-world coordinates. ([source](http://docs.opendronemap.org/))
- [Multi-Backend Dense Reconstruction](https://awesome-repositories.com/f/artificial-intelligence-ml/pose-estimation/dense/multi-backend-dense-reconstruction.md) — Employs multiple algorithms including SGM and MVS to compute dense depth maps and generate high-resolution point clouds.
- [SIFT Feature Accelerators](https://awesome-repositories.com/f/artificial-intelligence-ml/gpu-acceleration/sift-feature-accelerators.md) — Offloads SIFT feature computation to NVIDIA GPUs using CUDA to significantly speed up the initial processing stage.
- [Spatial Boundary Detections](https://awesome-repositories.com/f/artificial-intelligence-ml/pdf-document-analyzers/boundary-detection/spatial-boundary-detections.md) — Automatically determines the optimal area to process based on the spatial distribution of the input images. ([source](http://docs.opendronemap.org/))
- [Orthophoto Tiling](https://awesome-repositories.com/f/artificial-intelligence-ml/tiled-processing/image-tiling/orthophoto-tiling.md) — Splits large reconstruction areas into manageable tiles processed in parallel to reduce memory usage and enable scalability.

### Development Tools & Productivity

- [Photogrammetry CLIs](https://awesome-repositories.com/f/development-tools-productivity/cli-command-frameworks/photogrammetry-clis.md) — Provides a command-line interface for running the full photogrammetry pipeline from drone, balloon, or kite imagery.

### User Interface & Experience

- [Geospatial Model Alignments](https://awesome-repositories.com/f/user-interface-experience/coordinate-systems/coordinate-converters/coordinate-space-mappers/multi-reconstruction-scene-alignments/geospatial-model-alignments.md) — Repositions the final model to match a specified geographic coordinate system or a user-provided reference. ([source](http://docs.opendronemap.org/))

### Data & Databases

- [Material Volume Measurements](https://awesome-repositories.com/f/data-databases/persistent-storage-volumes/named-volume-lifecycles/volume-explorers/material-volume-measurements.md) — Measures the volume of material stockpiles from drone imagery using 3D models. ([source](https://docs.opendronemap.org/))

### DevOps & Infrastructure

- [Photogrammetry Toolkit Deployments](https://awesome-repositories.com/f/devops-infrastructure/remote-application-hosting/remote-toolkit-deployments/photogrammetry-toolkit-deployments.md) — Supports running the toolkit on a cloud or remote machine to handle large datasets from low-bandwidth locations. ([source](https://docs.opendronemap.org/))

### Networking & Communication

- [Remote Processing Strategies](https://awesome-repositories.com/f/networking-communication/file-transfer-protocols/low-bandwidth-transfer-protocols/remote-processing-strategies.md) — Ships a remote processing mode that transfers only essential data to handle drone imagery from limited connectivity areas. ([source](https://docs.opendronemap.org/))