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GEDI-FIA Fusion: Training Lidar Models to Estimate Forest Attributes

Published by ORNL_DAAC | National Aeronautics and Space Administration | Catalog Last Checked: June 23, 2026 at 08:41 PM | Dataset Last Updated: June 23, 2026
This dataset includes interpolated cumulative waveforms, with uncertainties, over national forest inventory (FIA) field plots across the contiguous United States. The predicted waveforms are for the Global Ecosystem Dynamics Investigation (GEDI) instrument, which produces high resolution laser ranging observations of the 3D structure of the Earth. GEDI's data provides precise measurements of forest canopy height, canopy vertical structure, and surface elevation. This dataset also provides R scripts to extract information from user-selected plots and for training linear regression models between GEDI lidar metrics and target forest attributes. The interpolated waveforms are provided in RData and JSON formats. A table of Forest Inventory and Analysis (FIA) plot information is included in comma separated values format

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Complete Metadata
@type dcat:Dataset
accessLevel public
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[
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contactPoint 
{
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  "@type": "vcard:Contact",
  "hasEmail": "mailto:earthdata-support@nasa.gov"
}
description This dataset includes interpolated cumulative waveforms, with uncertainties, over national forest inventory (FIA) field plots across the contiguous United States. The predicted waveforms are for the Global Ecosystem Dynamics Investigation (GEDI) instrument, which produces high resolution laser ranging observations of the 3D structure of the Earth. GEDI's data provides precise measurements of forest canopy height, canopy vertical structure, and surface elevation. This dataset also provides R scripts to extract information from user-selected plots and for training linear regression models between GEDI lidar metrics and target forest attributes. The interpolated waveforms are provided in RData and JSON formats. A table of Forest Inventory and Analysis (FIA) plot information is included in comma separated values format
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identifier 10.3334/ORNLDAAC/2417
keyword 
[
  "earth-science-vegetation-biosphere-biomass",
  "earth-science-vegetation-biosphere-forest-composition-vegetation-structure"
]
license https://www.usa.gov/government-works
modified 2026-06-23
programCode 
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publisher 
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spatial 
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temporal 2019-03-25/2023-03-01
theme 
[
  "Earth Science"
]
title GEDI-FIA Fusion: Training Lidar Models to Estimate Forest Attributes

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