All Repositories

Structured Allometric Models for Trees

A collection of forest science and forestry functions, data and vignettes. Intended to follow a standardised form of structures, variable names. Do you want to add something, but don't have a GitHub? Contact carl.vigren@slu.se

Implementation of Grondin et al. 2022 'Tree Detection and Diameter Estimation Based on Deep Learning'. Also includes datasets and some of the pretrained models.

semantic segmentation of wheel-ruts caused by forestry machinery

Functions to read StanForD classic forest machine reports

This package implements a simple tree detector from point cloud data. It makes no assumptions about the ground plane and can handle arbitrary terrains.

An Unsupervised and Joint Framework for Single Tree Isolation and Leaf-wood Classification

Estimate the carbon content of trees in a forest plot. Measure their diameters at breast height from point clouds.

A Shiny-based Application for Extracting Forest Information from LiDAR data.

Plant generator

Classifying remote sensing data with random forest

The consequences of climate change, especially the dry and hot summers, are putting a strain on Berlin's ecosystem. Our urban trees are drying out and suffering long-term damage. Gieß den Kiez is made to enable coordinated citizen participation in the irrigation of urban trees.

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

An extension for the spatially explicit forest landscape model LANDIS-II that allows for the dynamic simulation of the construction of forest roads due to forest management.

Forest Management Tool a C++ library for forest planning.

R package for forest mensuration and management

Quantitative Structure Models of Single Trees from Laser Scanner Data

R functions for processing individual tree TLS point clouds

Unsupervised leaf-wood classification from laser scanning point clouds

Allow plot scale measurements to be extracted automatically from most high-resolution forest point clouds.

R interface for DeepForest Python package, a deep learning package detecting individual organisms in airborne RGB images.

Python Package for Tree Crown Detection in Airborne RGB imagery

An R Package for Airborne Laser Scanning-derived Tropical Forest Gaps Analysis

Lightweight data standard for single-tree based forest management, visualisation & analytics

The Simple Biomass Comparison Model

An R package for tree volume equations.

The goal of treeco is to provide R users a tool for calculating the eco benefits of trees.

Shiny app to calculate above ground biomass for forest plots.

SEILAPLAN is a QGIS Plugin to support forest harvest operations by optimizing the layout of cable roads.

tree species with corresponding translation

3D-CMCC-FEM code

Code for Reproducibility of Generalized 3D Fragmentation Index Paper (Petras et al. 2017)

A library for various forest mensuration and biometrics functions in Julia

Fetch Forest Inventory data from many countries

Tools to calculate growth statistics for individual urban trees such as for estimating carbon storage.

Plugin generates heights raster maps from LiDAR classified point clouds (las and laz formats)

Caribou and land use simulator- decision support model for caribou and forest management

Notebooks to calculate tree diversity indices (Shannon and Simpson) for planners, foresters, and ecologists!

A library of tree segmentation and detection algorithms.

A collection of digital forestry tools for Matlab/Octave

Tools for analyzing aerial point clouds of forest data.

Accurate, Detailed, and Automatic Modelling of Laser-Scanned Trees

R package for airborne LiDAR data manipulation and visualisation for forestry application

🌳 A curated list of ground-truth forest datasets for the machine learning and forestry community.

Illustration of regeneration condition and wildlife impact monitoring.