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ALS_Notebooks
PublicJupyter notebooks in R and Python that demonstrate end-to-end workflows for generating derived products (e.g., canopy height models and canopy metrics) from Air…- A Google Earth Engine web application for machine-learning-based canopy height mapping that fuses NASA GEDI lidar data and harmonized Landsat and Sentinel-2 opt…
API_workbench
PublicThis repository provides practical examples for interacting with the OpenForest4D API, alongside the core code samples underpinning the APIs. Use these resource…Spaceborne_Notebooks
Publictreetop-r
PublicR functions for extracting forest information from lidar-derived Canopy Height Models (CHMs). Based on carlos-alberto-silva/weblidar-treetop, the scripts have b…lidar-canopy-metrics-r
PublicR-based script for processing lidar point cloud data, generating and visualizing Digital Surface Model (DSM) and Digital Terrain Model (DTM), and extracting for…- This repository provides an automated workflow for large-scale lidar data processing to map forest structure and change maps. Using lidR, Python libraries, it m…
chm-3d-visualizer
PublicA browser-based tool for interactive 3D visualization of canopy height model (CHM) datasets, built entirely in JavaScript. It allows users to load and explore m…
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