ORNL DAAC recently released a new GEDI dataset by May, P.B. et al (2025):
GEDI-FIA Fusion: Training Lidar Models to Estimate Forest Attributes
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.
Citation: May, P. B., Dubayah, R. O., Bruening, J. M., & Gaines, G. C. (2025). GEDI-FIA Fusion: Training Lidar Models to Estimate Forest Attributes (Version 1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/2417
ORNL DAAC Data Release - GEDI-FIA Fusion: Training Lidar Models to Estimate Forest Attributes
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