CMS: LiDAR Biomass Improved for High Biomass Forests, Sonoma County, CA, USA, 2013

This data set provides estimates of above-ground woody biomass and uncertainty at 30-m spatial resolution for Sonoma County, California, USA, for the nominal year 2013. Biomass estimates, megagrams of biomass per hectare (Mg/ha), were generated using a combination of airborne LiDAR data and field plot measurements with a parametric modeling approach. The relationship between field estimated and airborne LiDAR estimated aboveground biomass density is represented as a parametric model that predicts biomass as a function of canopy cover and 50th percentile and 90th percentile LiDAR heights at a 30-m resolution. To estimate uncertainty, the biomass model was re-fit 1,000 times through a sampling of the variance-covariance matrix of the fitted parametric model. This produced 1,000 estimates of biomass per pixel. The 5th and 95th percentiles, and the standard deviation of these pixel biomass estimates, were calculated.

Data and Resources

Additional Info

Field Value
Maintainer Earthdata Forum
Last Updated May 11, 2026, 16:10 (UTC)
Created April 1, 2025, 15:14 (UTC)
accessLevel public
bureauCode {026:00}
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
harvest_object_id be8d1d2d-3e73-4e8e-8a02-62bd6a6a2f30
harvest_source_id b99e41c6-fe79-4c19-bbc3-9b6c8111bfac
harvest_source_title Science Discovery Engine
identifier 10.3334/ORNLDAAC/1764
license https://www.usa.gov/government-works
modified 2026-05-04T22:15:57Z
programCode {026:000}
publisher ORNL_DAAC
resource-type Dataset
source_datajson_identifier true
source_hash 4b7fbebefab1b6bfa7d5db2bd94b0e01c292c694c7a4a6b06873b3b1686fb6ae
source_schema_version 1.1
spatial [[{"WestBoundingCoordinate":-123.539,"NorthBoundingCoordinate":38.8548,"EastBoundingCoordinate":-122.34,"SouthBoundingCoordinate":38.1067}],"CARTESIAN"]
temporal 2013-09-01/2013-09-01
theme {"Earth Science"}