Overview
| DOI | https://doi.org/10.3334/ORNLDAAC/1764 |
|---|---|
| Version | 1 |
| Project | |
| Published | 2020-06-26 |
| Usage | 318 downloads |
| Citations | 1 publication cited this dataset |
Description
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.
Science Keywords
- BIOSPHERE
- VEGETATION
- VEGETATION COVER
- BIOSPHERE
- VEGETATION
- CANOPY CHARACTERISTICS
- BIOSPHERE
- VEGETATION
- BIOMASS
Data Use and Citation
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 Companion Files
Dataset has 1 companion files.
- Sonoma_County_Forest_AGB.pdf