List of QSM (Quantitative Structural Modeling) lidar software.
- TreeQSM (requires Matlab)
https://github.com/InverseTampere/TreeQSM#treeqsm
- 3D Forest (Win executable)
https://github.com/VUKOZ-OEL/3d-forest
- aRchi (R package)
https://github.com/umr-amap/aRchi#archi
- Forest Structral Complexity Tool (Python)
https://github.com/SKrisanski/FSCT#forest-structural-complexity-tool ( Also see: https://github.com/philwilkes/TLS2trees#tls-point-cloud-semantic-classification-and-individual-tree-segmentation )
- Lidar360 (Commercial software)
https://greenvalleyintl.com/LiDAR360/
https://www.youtube.com/watch?v=jNP5j6nCS4g
- 3DFin (No segmentation, just diameter and height)
https://github.com/3DFin/3DFin
Raumonen, P.; Kaasalainen, M.; Åkerblom, M.; Kaasalainen, S.; Kaartinen, H.; Vastaranta, M.; Holopainen, M.; Disney, M.; Lewis, P. Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data. Remote Sens. 2013, 5, 491-520. https://doi.org/10.3390/rs5020491
Krisanski, S.; Taskhiri, M.S.; Gonzalez Aracil, S.; Herries, D.; Muneri, A.; Gurung, M.B.; Montgomery, J.; Turner, P. Forest Structural Complexity Tool—An Open Source, Fully-Automated Tool for Measuring Forest Point Clouds. Remote Sens. 2021, 13, 4677. https://doi.org/10.3390/rs13224677
Calders, K.; Newnham, G.; Burt, A.; Murphy, S.; Raumonen P.; Herold, M.; Culvenor, D.; Avitabile, V.; Disney, M; Armston, J.; Kaasalainen; M. (2014) Nondestructive estimates of above-ground biomass using terrestrial laser scanning. Methods Eco. Evol. Volume 6, Issue2 Pages 198-208. https://doi.org/10.1111/2041-210X.12301