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LiDAR-Derived Aboveground Biomass and Uncertainty for California Forests, 2005-2014

Overview

DOIhttps://doi.org/10.3334/ORNLDAAC/1537
Version1
Project
Published2018-07-13
Updated2018-08-15
Usage2315 downloads
Citations2 publications cited this dataset
User Guide

Description

This dataset provides estimates of aboveground biomass and spatially explicit uncertainty from 53 airborne LiDAR surveys of locations throughout California between 2005 and 2014. Aboveground biomass was estimated by performing individual tree crown detection and applying a customized "remote sensing aware" allometric equation to these individual trees. Aboveground biomass estimates and their uncertainties for each study area are provided in per-tree and gridded format. The canopy height models used for the tree detection and biomass estimation are also provided.

Science Keywords

  • BIOSPHERE
  • VEGETATION
  • CANOPY CHARACTERISTICS
  • BIOSPHERE
  • VEGETATION
  • BIOMASS

Data Use and Citation

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Crosscite Citation Formatter
Xu, Q., A. Man, M.M. Fredrickson, Z. Hou, J. Pitkanen, B. Wing, C. Ramirez, B. Li, and J. Greenberg. 2018. LiDAR-Derived Aboveground Biomass and Uncertainty for California Forests, 2005-2014. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1537

This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy. See our Data Use and Citation Policy for more information.

Data Files

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Companion Files

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Dataset has 2 companion files.

  • CMS_LiDAR_AGB_California_Fig1.png
  • CMS_LiDAR_AGB_California.pdf

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