Articles | Volume 18, issue 17
https://doi.org/10.5194/gmd-18-5913-2025
https://doi.org/10.5194/gmd-18-5913-2025
Model description paper
 | 
11 Sep 2025
Model description paper |  | 11 Sep 2025

FACA v1 – Fully Automated Co-Alignment of UAV point clouds

Nick Schüßler, Jewgenij Torizin, Claudia Gunkel, Karsten Schütze, Lars Tiepolt, Dirk Kuhn, Michael Fuchs, and Steffen Prüfer

Viewed

Total article views: 568 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
451 95 22 568 27 40
  • HTML: 451
  • PDF: 95
  • XML: 22
  • Total: 568
  • BibTeX: 27
  • EndNote: 40
Views and downloads (calculated since 23 Jan 2025)
Cumulative views and downloads (calculated since 23 Jan 2025)

Viewed (geographical distribution)

Total article views: 568 (including HTML, PDF, and XML) Thereof 568 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 14 Sep 2025
Download
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.
Share