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Forest Catalogue

website·Indexed 30 days ago

https://natel-carolina.github.io/forestcatalogue/

A directory of specialized open-source software and computational tools for forestry and forest management. The catalogue includes tools for tree detection and DBH estimation (TreeTool, PercepTreeV1), forest inventory data access (laselva, rFIA), LiDAR data manipulation (lidR, LiDARForestryHeight), and environmental monitoring (Open Foris, SEPAL).

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What's inside Forest Catalogue

  1. Overview of the Digital Forestry Toolbox (DFT)

    The Digital Forestry Toolbox (DFT) is a collection of tools and tutorials developed for Matlab and Octave. It is specifically designed to assist in the processing and analysis of remote sensing data related to forests. The project is licensed under GPL-3.0.
    # Source code available at: https://github.com/mparkan/Digital-Forestry-Toolbox

  2. Overview of MtreeRing for tree-ring measurement

    MtreeRing is an open-source tool (licensed under GPL3) that utilizes image processing techniques to automatically measure the width of tree rings. It is primarily used in forestry and forest research.
    # Source code available on GitHub
https://github.com/ropensci/MtreeRing

  4. Overview of ForestBiometrics.jl

    ForestBiometrics.jl is a Julia package designed for processing forest measurements data and implementing growth and yield modeling. It is licensed under the MIT "Expat" license.
    # To install ForestBiometrics.jl, use the Julia package manager:
using Pkg
Pkg.add("ForestBiometrics")

  5. Overview of the SEPAL cloud computing platform

    SEPAL is a free and open-source cloud computing platform for geo-spatial data access and processing. It allows users to process large volumes of data from any location on Earth using a computer or mobile device. Key capabilities include creating custom analysis-ready data from free satellite imagery, generating and improving land use maps, analyzing time series, performing change detection, and conducting accuracy assessments and area estimations.

  6. Overview of PercepTreeV1 for tree detection and diameter estimation

    PercepTreeV1 is a deep learning implementation based on the research by Grondin et al. (2022) titled "Tree Detection and Diameter Estimation Based on Deep Learning". The project provides tools for detecting trees and estimating their diameters, and includes associated datasets and pretrained models.
    # Source code available at: https://github.com/norlab-ulaval/PercepTreeV1

  7. Overview of the Simple Biomass Comparison Model (SBCM)

    The Simple Biomass Comparison Model (SBCM) is an open-source implementation of the model described by Sterman et al. (2018). It is used to calculate estimates of carbon payback periods for the use of biomass fuel. The project is licensed under the MIT license.

  8. Overview of Jlp22 software for linear programming in forestry

    Jlp22 is a general-purpose computation software specifically designed for linear programming (LP) applications within forest management planning. It is released under the MIT license.
    # Source code available on GitHub
https://github.com/juhalappi/Jlp22

  10. Overview of TreeSim R package for forest growth simulation

    TreeSim is an object-oriented, distance-independent individual tree simulator implemented as an R package. It utilizes the 3-PG process-based model to simulate forest growth. The package is licensed under Apache-2.0.
    # Source code available on GitHub
https://github.com/AbbasNabhani/TreeSim

  11. Overview of r3PG R package for forest growth simulation

    r3PG is an R package designed for forest growth simulation utilizing the 3-PG (Physiological Principles-based) process-based model. It provides a computational framework for simulating forest dynamics based on physiological processes.

  12. Overview of the LANDIS-II Landscape Change Model

    LANDIS-II is a forest landscape model used to simulate forests (including trees and shrubs) across spatial scales from hundreds to millions of hectares and time scales ranging from decadal to multi-century. The model simulates landscape change driven by growth and succession, with optional modules for disturbances (such as fire, wind, and insects), forest management, and land use change.