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.
rFIA
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
A repository of allometric model files and parameters.
High-performance Python toolkit for USDA Forest Inventory & Analysis (FIA) data — Polars + DuckDB, design-based estimates matching EVALIDator
PyCrown is a Python toolkit for delineating individual tree crowns from a Canopy Height Model (CHM).
This python package lets you automatically download and parse european forest data from several different public sources.
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.
Forest inventory tool for 3D data evaluation
ForestMensuration.jl is a Julia package that provides a comprehensive set of functions for performing dendrometric and forest inventory calculations.
Detect and map individual tree trunks from LiDAR point clouds
Turn FIA plot data into gridded maps of biomass, carbon & timber volume — outputs GeoTIFF and Zarr
Home for VRI and PSP compilers for FAIB
A repository of examples for extending pyfor for more robust analysis of forest point cloud data
Harbor for basic R functions for forest mensuration and ecology
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