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

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.

Data and Resources

Field Value
dcat_issued 2018-08-15
dcat_modified 2019-04-15
dcat_publisher_name ORNL_DAAC
encoding utf8
guid C1536966515-ORNL_DAAC
language en-US
spatial {"type": "Polygon", "coordinates": [[[-123.75, 34.05], [-123.75, 41.98], [-117.74, 41.98], [-117.74, 34.05], [-123.75, 34.05]]]}
Tags
  • Tree List
  • biosphere
  • earth science
  • vegetation
isopen False
metadata_created 2026-10-30T16:33:48.811419
metadata_modified 2026-10-30T16:33:48.811423
notes 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.
num_resources 8
num_tags 4
title LiDAR-Derived Aboveground Biomass and Uncertainty for California Forests, 2005-2014
url https://doi.org/10.3334/ORNLDAAC/1537