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
Source https://doi.org/10.3334/ORNLDAAC/1764
Last Updated February 28, 2024, 17:19 (UTC)
Created February 28, 2024, 17:19 (UTC)
dcat_issued 2020-06-26
dcat_modified 2020-07-06
dcat_publisher_name ORNL_DAAC
encoding utf8
guid C1887537450-ORNL_DAAC
harvest_object_id 23016602-430f-40c4-9ca1-508b60725bf0
harvest_source_id a2637971-af12-457f-ae4a-831d2202a539
harvest_source_title WIFIRE Commons
language en-US
spatial {"type": "Polygon", "coordinates": [[[-123.54, 38.11], [-123.54, 38.85], [-122.34, 38.85], [-122.34, 38.11], [-123.54, 38.11]]]}