Open Source Software
Open-source software released by the project for community use, made freely available through the project’s GitHub repository.
- Canopy Height Model (CHM) Viewer
A browser-based tool for interactive 3D visualization of canopy height models (CHM), built entirely in JavaScript
– Demo (with NSF Neon Data)
– Download (GitHub)
- treetop-r
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 suited for automated or batch processing.
– Download (GitHub) - lidar-canopy-metrics-r
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.
– Download (Github) - multi-temporal-lidar-forestry
This repository contains reproducible workflows written as R scripts (using the lidR package) & Jupyter notebooks for retrieving, processing, and analyzing multi-temporal lidar data to detect changes in forest canopies.
– Download (Github)
– Information Guide
Application Programming Interfaces (APIs)
OpenForest4D’s REST APIs are documented using the OpenAPI specification and available via Swagger for visualizing and testing via the browser.
- Meta/World Resources Institute (WRI) Canopy Height Maps (version 2)
API that returns clipped Canopy Height Model (v2) as a GeoTIFF (EPSG:3857 – Web Mercator) for a given AOI. Meta/WRI version 2 global and regional Canopy Height Maps, created using machine learning models on high-resolution worldwide Vantor satellite imagery (DINOv3 backbone, March 2026 release).
- API Workbench – Meta/WRI CHM v2 example notebook (Google Colab)
- API Workbench – Meta/WRI CHM v2 example notebook (Google Colab)
- Meta/WRI Canopy Height Maps
API that returns clipped GeoTIFF tiles from the Meta/WRI Deep Learning Canopy Height Model v1 (DL-CHM v1; Tolan et al., 2024) for a user-specified area of interest (AOI). - USGS/NOAA Airborne Laser Scanning Data Catalog
API to discover high resolution lidar derived topography datasets hosted by USGS (3DEP) and NOAA (coastal lidar data).
