Articles | Volume 18, issue 17
https://doi.org/10.5194/gmd-18-5913-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-5913-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
11 Sep 2025
Model description paper |
| 11 Sep 2025
| 11 Sep 2025
FACA v1 – Fully Automated Co-Alignment of UAV point clouds
Federal Institute for Geosciences and Natural Resources (BGR), 30655 Hanover, Germany
Jewgenij Torizin
Federal Institute for Geosciences and Natural Resources (BGR), 30655 Hanover, Germany
Claudia Gunkel
Federal Institute for Geosciences and Natural Resources (BGR), 30655 Hanover, Germany
Karsten Schütze
State Bureau for Environment, Nature Protection and Geology Mecklenburg-Western Pomerania (LUNG), 18273 Güstrow, Germany
Lars Tiepolt
State Agency for Agriculture and the Environment of Central Mecklenburg, 18069 Rostock, Germany
Dirk Kuhn
Federal Institute for Geosciences and Natural Resources (BGR), 30655 Hanover, Germany
Michael Fuchs
Federal Institute for Geosciences and Natural Resources (BGR), 30655 Hanover, Germany
Steffen Prüfer
Federal Institute for Geosciences and Natural Resources (BGR), 30655 Hanover, Germany
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Short summary
FACA – Fully Automated Co-Alignment – is a tool designed to generate co-aligned point clouds. We aim to accelerate the application of the co-alignment method and achieve fast results with evolving temporal data and minimal site-specific preparation. FACA offers multiple ways to interact with the workflow, enabling new users to quickly generate initial results through the custom interface, as well as integration into larger automated workflows via the command line. Test datasets are provided.
FACA – Fully Automated Co-Alignment – is a tool designed to generate co-aligned point clouds. We...
