Tools
A collection of free softwares and scripts for tropical tree biomass estimations
AMAPstudioScan: Interactive editing of plant architecture from Terrestrial LiDAR Scans
A JAVA interface to build and edit plant topology and geometry by selecting interactive tools and clicking in point clouds produced by Terrestrial LiDAR Scanners.
AMAPVox: LiDAR data voxelization software
A JAVA language implementation of a ray tracing algorithm to derive Plant Area Density (PAD) from LiDAR pulses in a 3D space.
- Home page: http://amapvox.org
- Reference: Vincent et al. 2017. Remote Sensing of Environment, 198: 254-266.
BIOMASS: Estimating aboveground biomass and its uncertainty in tropical forests
A R package for allometric estimations of forest aboveground biomass with Bayesian error propagation scheme.
TreeQSM: Quantitative Structure Models of single trees from LiDAR scanner data
MATLAB software for single tree volume reconstruction from Terrestrial LiDAR Scanner data.
- Home page: https://github.com/InverseTampere/TreeQSM
- Reference: Åkerblom et al. 2015. Remote Sensing, 7: 4581-4603.
FOTO/FOTO-Pad: Fourrier-Based Textural Ordination
• Compiled MATLAB scripts for applying textural feature extraction methods on a single geotiff image.
- Home page: http://doi.org/10.5281/zenodo.1216005
- References: Barbier & Couteron 2015. Remote Sensing of Environment, 171: 245-260.
• R version of the Fourrier Transform Texture Ordination.
• Python version available as fototex package.
- Home page: https://pypi.org/project/fototex/
QSM2Abaqus: Convert a 3D tree model into an Abaqus input file to compute mechanical strength under wind forcing
MATLAB scripts to convert Quantitative Structural Models (QSMs) to input file for Abaqus finite element analysis.
QSM2Archi: Computing branch architecture parameters from Terrestrial LiDAR scans (QSMs)
Scripts to extract branch architecture and scaling parameters from tree Quantitative Structural Models (QSMs).
- MATLAB scripts: https://github.com/TobyDJackson/TreeQSM_Architecture
- R scripts: https://github.com/ashenkin/treestruct
- Reference: Lau et al. 2019. Forest Ecology and Management, 439: 132-145.
aRchi: Quantitative Structural Model ('QSM') Treatment for Tree Architecture
An R package providing a set of tools to manipulate, visualize and compute architectural metrics from tree quantitative structural models (QSM).
Allostand: 3D lollipop forest mock-ups from field dendrometric data and allometric relationships
An R package providing scripts and data to simulate 3D forest stands from simple tree measurements and allometric relationships.