Tools for analyzing aerial point clouds of forest data.
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Updated
Dec 28, 2019 - Python
Tools for analyzing aerial point clouds of forest data.
Implementation of Grondin et al. 2022 "Tree Detection and Diameter Estimation Based on Deep Learning". Also includes datasets and some of the pretrained models.
A library of tree segmentation and detection algorithms.
Tools to calculate growth statistics for individual urban trees such as for estimating carbon storage.
Automatic dendrometry in terrestrial point clouds
Object-Oriented distance-independent Individual Tree Simulator (TreeSim)
A collection of modules to programmatically search for/download imagery from live cam feeds across the state of California.
The Simple Biomass Comparison Model
ws3: Wood Supply Simulation System
Python-based implementation of the EWMACD/EDYN vegetation change detection algorithm.
`libcbm_runner` is a python package for automating simulations of forest growth and harvesting involving the European economy, carbon budgets and their interactions.
A Discord bot for practicing tree identification
Ignition pattern simulator for prescribed fire
Codes and data for a published work "Improve the deep learning models in forestry based on explanations and expertise" (https://doi.org/10.3389/fpls.2022.902105)
Code for my masters thesis, "Deep Learning for Detecting Trees in the Urban Environment from Lidar"
Ein QGIS-Plugin zur Unterstützung der Waldbewirtschaftung für das Designen und die Optimierung von Seillinien-Layouts.
These are a collection of ArcGIS Script tools for planning timber sales, planning roads, and conducting remote surveys.
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