treeX
Separates individual trees from laser scans without any trained model.
- Field
- Forestry & vegetation
- Method
- Classical method
- Data it takes
- point-cloud
- License
- MIT
treeX segments trees from terrestrial, personal and drone laser scans using geometric rules rather than learned weights. There is no training step, and no pretrained model whose training data may not match the target forest.
This makes it applicable to stand types the deep learning segmenters have not encountered, and provides a baseline for comparison. Runs on CPU.
Catalog entry last checked 2026-08-18. All models →
Run treeX on your data
The lab runs this on its own compute, in a container, with the inputs and parameters recorded alongside the result. Initial scoping conversations are free.
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