Explore NASA GEDI Aboveground Biomass Datasets, Services, and Tools at NASA's ORNL DAAC

NASA's Global Ecosystem Dynamics Investigation (GEDI) mission has recently released global datasets that provide estimates of aboveground biomass density and associated uncertainty at the footprint (~25m) and the grid (1km resolution) level. Mounted on the International Space Station (ISS), the GEDI instrument is a full-waveform lidar designed to measure vegetation and provides the densest sampling of any lidar put on orbit. Since its launch in December 2018, GEDI has captured billions of measurements, providing unprecedented, globally consistent, high-resolution information on vertical forest structures, specifically tropical and temperate forests and woodlands. The canopy information from GEDI shots, combined with coincident airborne lidar and plot-level field inventory, were used to predict aboveground biomass estimates. The new products (Level 4A and Level 4B) along with gridded canopy metrics (Level 3) are archived at NASA's Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) and are freely and openly available.
This webinar provides an overview of the science behind GEDI higher-level data products and presents tutorials on using various tools and services for data access, analytics, and visualization of GEDI Level 3 and Level 4 data products, followed by a question-and-answer session.
Webinar Presentation Slide Deck: go.nasa.gov/3x...
Additional Resources
Access GEDI data at NASA's ORNL DAAC: daac.ornl.gov/...
GEDI Mission Page: gedi.umd.edu/
Meet GEDI! Overview of GEDI Mission and Measurements: • Meet GEDI! The Global ...
Earthdata Cloud
Harmony: harmony.earthd...
OPeNDAP Hyrax: opendap.earthd...
Get an Earthdata Login account: urs.earthdata....
GEDI Services at the ORNL DAAC: bit.ly/ornldaa...
GEDI Jupyter Notebooks/Tutorials at ORNL DAAC: github.com/orn...

[@hammadiachour7668]

From Tunisia Thank you very much for making such data freely available for download.

[@NASAEarthdata]

Thank you for your feedback, we appreciate it.

[@nffn3678]

A remarkable effort, thx.

[@danqingYan]

Hello, could you please send the jupyter notebook code in the following video?

[@NASAEarthdata]

Hi there, here is a link to the Jupyter Notebooks at NASA's ORNL DAAC for working with GEDI data: github.com/ornldaac/gedi_tutorials