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GEDI Lidar Resources
Earthdata resources for users working with NASA’s Global Ecosystem Dynamics Investigation (GEDI) data include tutorials and other learning resources, news announcements, and frequently asked questions.
The GEDI Learning Resources listed below are available on the GEDI Data Resources GitHub repository which provides guides, and Python and R tutorials to help users access and work with GEDI data. This repository is public and open to contributions.
GEDI Lidar Learning Resources
Use NASA's CMR API to programmatically find GEDI data.
External Resource
GitHub Repository
June 2, 2025
Subset, visualize, filter, and plot GEDI data.
External Resource
GitHub Repository
June 2, 2025
Subset, visualize, filter, and plot GEDI data.
External Resource
GitHub Repository
June 2, 2025
Subset, visualize, filter, and plot GEDI waveform data.
External Resource
GitHub Repository
June 2, 2025
Use NASA's CMR API to programmatically find GEDI data.
External Resource
GitHub Repository
June 2, 2025
Convert GEDI data products from .hdf5 to .geojson enabling visualization in a GIS.
External Resource
GitHub Repository
June 2, 2025
Use NASA's CMR API to programmatically find GEDI data.
External Resource
GitHub Repository
June 2, 2025
Our Earth Data Officer, Katie Baynes, spoke at the Federal GIS Conference Plenary. In case you missed her presentation, here is a story map for you to catch up on how NASA Earth data can be leveraged in your GIS project.
StoryMap
March 5, 2025
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A summary of datasets, products, and resources released by NASA’s Distributed Active Archive Centers (DAACs) in April 2025.
News
May 13, 2025
A summary of datasets, products, and resources released by NASA’s Distributed Active Archive Centers (DAACs) in September 2024.
News
Oct. 3, 2024
Join us to learn more about datasets and tools that enable the harmonization of remote sensing and in situ ecological data products for site-based research.
Webinar
Aug. 22, 2024
Join us for an introduction to NASA’s Global Ecosystems Dynamics Investigation (GEDI) datasets and to learn how to use LP DAAC's web service, data prep script, and Jupyter Notebook Python tutorial series.
Webinar
Aug. 21, 2024
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Frequently Asked Questions
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