Tools for analyzing aerial point clouds of forest data.
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Updated
Sep 11, 2026 - Python
Tools for analyzing aerial point clouds of forest data.
rFIA
3D Forest modelisation in MLS point cloud
Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes
A library of tree segmentation and detection algorithms.
Sentinel-2 Leaf Area Index Estimation for Pine Plantations in the Southeastern United States
High-performance Python toolkit for USDA Forest Inventory & Analysis (FIA) data — Polars + DuckDB, design-based estimates matching EVALIDator
A repository of allometric model files and parameters.
This repository contains the scripts for the prediction of tree species and structural diversity of temperate forests with satellite remote sensing and deep learning. A submitted paper proposal to Remote Sensing Journal and Bachelor Thesis of Janik Hoffmann, University of Bonn.
This python package lets you automatically download and parse european forest data from several different public sources.
Forest inventory tool for 3D data evaluation
TLNet: a deep learning framework for tree detection in forest point clouds using multi-layered forest structure
Detect and map individual tree trunks from LiDAR point clouds
Multi-resolution forest stand segmentation from Landsat imagery, in Rust. Implements Ye et al. (2025), which extends the Woodcock & Harward algorithm with a second data layer.
ForestMensuration.jl is a Julia package that provides a comprehensive set of functions for performing dendrometric and forest inventory calculations.
Home for VRI and PSP compilers for FAIB
Turn FIA plot data into gridded maps of biomass, carbon & timber volume — outputs GeoTIFF and Zarr
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