Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.

PyCrown - Fast raster-based individual tree segmentation for LiDAR data

Deep learning system; Docker image access; Pypi package; GEE access; image segmentation; density estimation; dataset open; pre-trained models open; PNAS Nexus publication

official source code for paper entitled "Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning"

This repository provides the code used to create the results presented in "Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles".

LIDAR and RGB Deep Learning Model for Individual Tree Segmentation

A CloudCompare Python plugin for a suite of LiDAR processing modules targeting forest and tree analysis.

Diffusion-based Tree Skeletonization

AI-Enhanced Toolset for 3D Tree Processing: A CloudCompare Plugin

Individual-tree attribute scaling from airborne laser scanning point clouds

Label airborne LiDAR point clouds with TLS data to create benchmark in complex forest contexts

Implementations of popular CNNs in 3D for developing forest inventories from LiDAR

Python package providing a file and object-based database to store tree objects.