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Draft:WebODM

From Wikipedia, the free encyclopedia
WebODM
Original authorPiero Toffanin
DeveloperWebODM Development Team
Release8 August 2016; 10 years ago (2016-08-08)[1]
Stable release
3.3.0 / 5 September 2026; 28 days ago (2026-09-05)[2]
Written inPython, JavaScript
Operating systemWindows, Linux, MacOS
Available inCS, EN, ES, HU, IT, JA, KO, PL, PT, RU, ZH
TypeGeographic information system, Photogrammetry, Web application
LicenseAGPLv3[3]
Websitewebodm.org
Repositorygithub.com/WebODM/WebODM

WebODM is a free and open-source photogrammetry application for processing aerial imagery, typically collected by drones, into georeferenced 2D orthophotos, digital elevation models, 3D point clouds and textured 3D models.[4][5] It was created in 2016 by Piero Toffanin and is released under the GNU Affero General Public License.[1][6] WebODM was originally developed as a web-based graphical user interface for the OpenDroneMap processing toolkit.[6][4] In April 2026 the project separated from OpenDroneMap and has since been developed independently.[7][8][9] The software has been used and evaluated in peer-reviewed research in fields including surveying, cultural heritage documentation, archaeology, invasive species management, construction and organismal biology.[5][10][11][12][13][14]

History

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Development of WebODM began in 2016 and was initially created as a browser-based front end for OpenDroneMap.[1][6] A 2020 article published by the Aircraft Owners and Pilots Association described WebODM as offering hobbyists and solo operators an affordable alternative to commercial drone-mapping services.[6] A February 2024 publication from the University of Florida's Institute of Food and Agricultural Sciences also presented WebODM as an open-source alternative to commercial photogrammetry software.[4]

Features

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WebODM is a web application written in Python (Django) and JavaScript, and is distributed both as Docker images and as native installers for Windows and macOS.[9][15] Users upload sets of overlapping aerial photographs and the software performs structure from motion and multi-view stereo reconstruction to produce orthophotos, digital surface models and digital terrain models, dense point clouds, textured 3D meshes, and processing quality reports.[4][13] Since version 3.3.0 it can also produce Gaussian splats.[2] The application supports ground control points, multispectral imagery, GPU-accelerated processing on compatible CUDA hardware, and offers a REST API for programmatic access.[4][9] Processing can be run on a local machine or remotely to processing nodes; supported engines include ODX, MicMac and the Lightning cloud processing service.[15][14]

Use in research

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A 2020 study presented at the FIG Working Week tested WebODM as part of a low-cost photogrammetric system for documenting the Guaceto tower, a 16th-century coastal fortification in Apulia, Italy and comparing the resulting point cloud with one produced by Agisoft Metashape. The study found average deviations of about 4 cm between the two clouds and concluded that the point clouds presented a "good geometric description of the building".[5]

In archaeology, a paper presented at the ArcheoFOSS XIV conference in 2020 described an entirely open-source workflow for producing 3D models and orthophotos from aerial thermal imagery of historical landscapes, using WebODM.[10]

A 2024 paper presented at the Geomatics International Conference (GEOICON 2024) described integrating WebODM as a cloud photogrammetry processing platform to centralize drone survey products. The study concluded that the integration "provides an effective solution for managing and processing geospatial data" for the company.[12]

Beyond aerial mapping, WebODM has been used for close-range photogrammetry of biological specimens. A 2023 study in Integrative Organismal Biology used WebODM to reconstruct 3D models of mountain beaver skulls from photographs and compared them with micro-CT scans.[13]

See also

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References

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  1. 1 2 3 "WebODM/WebODM (repository metadata)". GitHub. Retrieved 9 September 2026.
  2. 1 2 "Release v3.3.0 · WebODM/WebODM". GitHub. 5 September 2026. Retrieved 9 September 2026.
  3. ↑ "WebODM License". GitHub. Retrieved 9 September 2026.
  4. 1 2 3 4 5 Patel, Sahaj; Chintanadilok, Jesse; Hall-Scharf, Brittany; Zhuang, Yilin; Strickland, Joseph; Singh, Aditya (15 February 2024). "WebODM: An Open-Source Alternative to Commercial Image Stitching Software for Uncrewed Aerial Systems". EDIS (1). University of Florida Institute of Food and Agricultural Sciences. doi:10.32473/edis-ae593-2024. AE593. Retrieved 9 September 2026.
  5. 1 2 3 Vacca, Giuseppina (2020). "WEB Open Drone Map (WebODM) a Software Open Source to Photogrammetry Process" (PDF). Proceedings of the FIG Working Week 2020. Amsterdam: International Federation of Surveyors. Retrieved 9 September 2026.
  6. 1 2 3 4 Ryall, Zach (28 February 2020). "Drone mapping for the rest of us". AOPA. Retrieved 9 September 2026.
  7. ↑ "WebODM has officially decoupled from OpenDroneMap!". webodm.org. 6 April 2026. Retrieved 9 September 2026.
  8. ↑ "Ecosystem Changes - The Hangar / Off Topic - OpenDroneMap Community". community.opendronemap.org. Apr 9, 2026. Retrieved 2026-04-17.
  9. 1 2 3 "Frequently Asked Questions". WebODM Documentation. Retrieved 9 September 2026.
  10. 1 2 Ciccone, Gabriele (2021). "Un workflow open-source per l'elaborazione delle immagini termiche da drone" [An open-source workflow for processing thermal images from drones]. In Bogdani, Julian; Montalbano, Riccardo; Rosati, Paolo (eds.). ArcheoFOSS XIV 2020: Open Software, Hardware, Processes, Data and Formats in Archaeological Research: Proceedings of the 14th International Conference, 15–17 October 2020 (in Italian). Archaeopress. pp. 35–43. doi:10.2307/jj.14638139.8. JSTOR jj.14638139.8.
  11. ↑ Catlin, Kristopher M. (2023). An Exploratory Assessment of High-Resolution SUAS Imagery and Deep Learning Supported Ecosystem-Based Management in the Pacific Northwest (Master of Environmental Studies thesis). The Evergreen State College. JSTOR community.40965688.
  12. 1 2 Saputra, Galih Yudha Wahyu; Ahmad, Ali Amirrudin; Sidabutar, Yosevel Lyhardo; Herwieany, Agnes Shelvira (2024). "Integration of WebODM Platform as Photogrammetry Cloud Processing and GeoNode as Corporate Spatial Data Infrastructure to Support the Acceleration of Geospatial Data Communication Flow in PT. Waskita Karya Tbk". IOP Conference Series: Earth and Environmental Science. 1418 (1) 012078. Bibcode:2024E&ES.1418a2078Y. doi:10.1088/1755-1315/1418/1/012078.
  13. 1 2 3 Zhang, C.; Maga, A. M. (2023). "An Open-Source Photogrammetry Workflow for Reconstructing 3D Models". Integrative Organismal Biology. 5 (1) obad024. doi:10.1093/iob/obad024. PMC 10350669. PMID 37465202.
  14. 1 2 Gbagir, Augustine-Moses Gaavwase; Ek, Kylli; Colpaert, Alfred (2023). "OpenDroneMap: Multi-Platform Performance Analysis". Geographies. 3 (3): 446–458. doi:10.3390/geographies3030023.
  15. 1 2 "WebODM/WebODM". GitHub. Retrieved 9 September 2026.
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