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

Overview

DOIhttps://doi.org/10.3334/ORNLDAAC/2417
Version1
Project
Published2025-06-20
Usage8 downloads

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

Science Keywords

  • BIOSPHERE
  • VEGETATION
  • BIOMASS
  • BIOSPHERE
  • VEGETATION
  • FOREST COMPOSITION/VEGETATION STRUCTURE

Data Use and Citation

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DOI citation formatter
May, P.B., R.O. Dubayah, J.M. Bruening, and G.C. Gaines. 2025. GEDI-FIA Fusion: Training Lidar Models to Estimate Forest Attributes. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2417

This dataset is openly shared, without restriction, in accordance with the NASA Earthdata Data Use Guidance.

Data Files

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Companion Files

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Dataset has 2 companion files.

  • CONUS_GEDI2FIA_readme.txt
  • GEDI_FIA_LIDAR_Models_Forests.pdf