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.

GEDI L3 and L4 Tutorials

pyGEDI is a Python Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) mission, data extraction, analysis, processing and visualization.

This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Global Ecosystem Dynamics Investigation (GEDI) mission.

This repository provides the code used to create the results presented in "Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles".

SlideRule Earth Example Notebooks: On-demand, cloud-based processing of satellite mission data (NASA ICESat-2, GEDI, ArcticDEM/REMA, HLS)

a python code completion plugin for gedit3+

A Julia package for working with ICESat-2 & GEDI data as part of my PhD research

Python tools to process spaceborne lidar (GEDI and ICESAT2) for land (pySL4Land) applications

A toolbox for processing and providing Global Ecosystem Dynamics Investigation (GEDI) L2A-B and L4A-C data

Fetch and cache land elevation data from OpenTopography through an API, BMI, or CLI

CounterGeDi is a pipeline that aims at controlling the counter speech generated to make it emotional, polite and detoxified. Paper accepted at IJCAI 2022.

Resources on the ORNL DAAC's Terrestrial Ecology Subsetting & Visualization Services (TESViS) tools

Global Ecosystem Dynamics Investigation (GEDI) L2A/L2B -> GeoParquet & GeoDataFrame/Xarray

Python package for analyzing NASA GEDI data. GEDI is a LiDAR dataset that is acquired using the International Space Station.

The CH-GEE app generates 10 m resolution canopy height maps by integrating GEDI Rh metrics with multi-source remote sensing data (radar, optical, and topographical features)

An unified workflow for GEDI data downloading and subsetting.

generates rasters of canopy height from the Global Ecosystem Dynamics Investigation (GEDI) mission

This repo contains the training webpage and hands-on tutorials for users to learn the fundamental characteristics of GEDI spaceborne lidar for real-world applications and explore GEDI data with tips for contextualized quality preparation.

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