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#

canopy-height-models

Here are 11 public repositories matching this topic...

This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to estimate canopy top height anywhere on Earth. The model estimates canopy top height for every Sentinel-2 image pixel and was trained using sparse GEDI LIDAR data as a reference.

  • UpdatedOct 13, 2023
  • Python
xATLy

ICESat-2 ATL03/ATL08 Processing and Analysis

  • UpdatedJun 12, 2023
  • HTML

This project uses satellite images on Google Earth Engine to predict canopy height and estimate carbon content in the University of Malaya forest area.

  • UpdatedFeb 2, 2025
  • JavaScript

Easy download of NEON LiDAR products in a scalable manner.

  • UpdatedApr 14, 2025
  • Python

Python scripts for extracting GEDI and ICESat-2 data from HDF to shapefiles

  • UpdatedJul 12, 2025
  • Python

This repository is a fork ofhttps://github.com/langnico/global-canopy-height-model/ and contains the code used to create the results presented in the paper: A high-resolution canopy height model of the Earth. The model estimates canopy top height for Sentinel-2 images

  • UpdatedJun 22, 2024
  • Python

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.

  • UpdatedJun 2, 2025
  • JavaScript

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.

  • UpdatedMay 16, 2025
  • 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 better suited for automated or batch processing.

  • UpdatedMay 19, 2025
  • R

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