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OpenForest4D

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  1. chm-3d-visualizer chm-3d-visualizer Public

    A browser-based tool for interactive 3D visualization of canopy height model (CHM) datasets, built entirely in JavaScript. It allows users to load and explore multiple CHM GeoTIFF tiles directly in…

    JavaScript 2

  2. lidar-canopy-metrics-r lidar-canopy-metrics-r Public

    R-based script for processing lidar point cloud data, generating and visualizing Digital Surface Model (DSM) and Digital Terrain Model (DTM), and extracting forest canopy metrics based on the lidR …

    R 1 1

  3. treetop-r treetop-r Public

    R functions for extracting forest information from lidar-derived Canopy Height Models (CHMs). Based on carlos-alberto-silva/weblidar-treetop, the scripts have been refactored into standalone, modul…

    R 1

  4. multi-temporal-lidar-forestry multi-temporal-lidar-forestry Public

    Forked from sreejakr/multi-temporal-lidar-forestry

    This repository provides an automated workflow for large-scale lidar data processing to map forest structure and change maps. Using lidR, Python libraries, it manages tiling, metric computation, an…

    Jupyter Notebook

  5. ALS_Notebooks ALS_Notebooks Public

    R scripts and Jupyter notebook implementing a complete workflow to generate Digital Elevation Models including CHM and canopy metrics from airborne lidar point cloud data using the lidR package. Th…

    Jupyter Notebook

Repositories

Showing 5 of 5 repositories
  • ALS_Notebooks Public

    R scripts and Jupyter notebook implementing a complete workflow to generate Digital Elevation Models including CHM and canopy metrics from airborne lidar point cloud data using the lidR package. This repository includes point cloud filtering, ground normalization, rasterization, and visualization of CHM with reproducible examples

    OpenForest4D/ALS_Notebooks’s past year of commit activity
    Jupyter Notebook 0 BSD-3-Clause 0 0 0 Updated Feb 10, 2026
  • multi-temporal-lidar-forestry Public Forked from sreejakr/multi-temporal-lidar-forestry

    This repository provides an automated workflow for large-scale lidar data processing to map forest structure and change maps. Using lidR, Python libraries, it manages tiling, metric computation, and differencing, and is parallelized to handle big data efficiently. The pipeline enables repeatable multi-temporal forest metrics to support conservation

    OpenForest4D/multi-temporal-lidar-forestry’s past year of commit activity
    Jupyter Notebook 0 MIT 1 0 0 Updated Oct 1, 2025
  • chm-3d-visualizer Public

    A browser-based tool for interactive 3D visualization of canopy height model (CHM) datasets, built entirely in JavaScript. It allows users to load and explore multiple CHM GeoTIFF tiles directly in the browser—no build tools required.

    OpenForest4D/chm-3d-visualizer’s past year of commit activity
    JavaScript 2 MIT 0 0 0 Updated Jun 2, 2025
  • treetop-r Public

    R functions for extracting forest information from lidar-derived Canopy Height Models (CHMs). Based on carlos-alberto-silva/weblidar-treetop, the scripts have been refactored into standalone, modular functions better suited for automated or batch processing.

    OpenForest4D/treetop-r’s past year of commit activity
    R 1 GPL-3.0 0 0 0 Updated May 19, 2025
  • lidar-canopy-metrics-r Public

    R-based script for processing lidar point cloud data, generating and visualizing Digital Surface Model (DSM) and Digital Terrain Model (DTM), and extracting forest canopy metrics based on the lidR package.

    OpenForest4D/lidar-canopy-metrics-r’s past year of commit activity
    R 1 GPL-3.0 1 0 0 Updated May 16, 2025

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