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.
Tools to calculate growth statistics for individual urban trees such as for estimating carbon storage.
ws3: Wood Supply Simulation System
A library of tree segmentation and detection algorithms.
Object-Oriented distance-independent Individual Tree Simulator (TreeSim)
Spatial extension of the SELVANS information system - a forest managment application
A Discord bot for practicing tree identification
Ein QGIS-Plugin zur Unterstützung der Waldbewirtschaftung für das Designen und die Optimierung von Seillinien-Layouts.
Python-based implementation of the EWMACD/EDYN vegetation change detection algorithm.
These are a collection of ArcGIS Script tools for planning timber sales, planning roads, and conducting remote surveys.
The Simple Biomass Comparison Model
Ignition pattern simulator for prescribed fire
A collection of modules to programmatically search for/download imagery from live cam feeds across the state of California.
GNSS Navigate and Save - QGIS-Plugin
CNN-based and classical methods for uniquely identifying tree logs.
Automatic dendrometry in terrestrial point clouds
Foreco project which include efforts to define and analyse relationships between Forest structure and forest disturbance like Bark Beetle, storm and drought dynamics.
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