Skip to main content
ORNL DAAC HomeNASA Home
DAAC Home > Get Data > NASA Projects > Carbon Monitoring System (CMS) > Landing page

CMS: LiDAR-derived Biomass, Canopy Height and Cover, Sonoma County, California, 2013

Overview

DOIhttps://doi.org/10.3334/ORNLDAAC/1523
Version1
Project
Published2017-08-23
Usage1998 downloads
Citations7 publications cited this dataset
Download Data38.2 MBUser Guide

Description

This data set provides estimates of above-ground biomass (AGB), canopy height, and percent tree cover 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 LiDAR data, field plot measurements, and random forest modeling approaches. Estimates of AGB uncertainty are also provided. Maximum canopy height and tree cover were derived from LiDAR data and high-resolution National Agriculture Imagery Program (NAIP) images.

Science Keywords

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

Data Use and Citation

Download citation from Datacite
RISBibTexOther
Crosscite Citation Formatter
Dubayah, R.O., A. Swatantran, W. Huang, L. Duncanson, H. Tang, K. Johnson, J.O. Dunne, and G.C. Hurtt. 2017. CMS: LiDAR-derived Biomass, Canopy Height and Cover, Sonoma County, California, 2013. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1523

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

Sign in to download files.

Companion Files

Toggle Companion Files

Sign in to download files.

Dataset has 2 companion files.

  • CMS_LiDAR_Biomass_CanHt_Sonoma.pdf
  • CMS_LiDAR_Biomass_CanHt_Sonoma_Fig1.png

Visualize and Subset Data

Download customized subsets in user-selected projection and format using the Spatial Data Access Tool.