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CMS: LiDAR-derived Estimates of Aboveground Biomass at Four Forested Sites, USA

Data Set Overview

Data setCMS: LiDAR-derived Estimates of Aboveground Biomass at Four Forested Sites, USA
DOI10.3334/ORNLDAAC/1257
Release date2014-10-30
ProjectCarbon Monitoring System (CMS)
Time Period2011-01-01

Description

These data consist of high-resolution maps of aboveground biomass at four forested sites in the US: Garcia River Tract in California, Anne Arundel and Howard Counties in Maryland, Parker Tract in North Carolina, and Hubbard Brook Experimental Forest in New Hampshire. Biomass maps were generated using a combination of field data (forest inventory and Lidar) and modeling approaches. Estimates of uncertainty are also provided for the Maryland site using two different modeling methodologies. These data provide estimates of aboveground biomass for the nominal year of 2011 at 20-50 meter resolution in units of megagrams of carbon per hectare (or acre for the Garcia Tract site). The data are presented as a series of 11 GeoTIFF (*.tif) files.

Documentation

Data set reference document

Citation

Cook, B., A. Swatantran, L. Duncanson, A. Armstrong, N. Pinto, R. Nelson. 2014. CMS: LiDAR-derived Estimates of Aboveground Biomass at Four Forested Sites, USA. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1257
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Project

Carbon Monitoring System (CMS): The NASA Carbon Monitoring System (CMS) is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System will use the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.

Companion Files

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  • Maryland_Biomass_methods.pdf
  • CMS_Pilot_Biomass.pdf

Data Files

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Data File (Granule)File SizeDates
HubbardBrook_Biomass.tif 175.7KB 2011-01-01 - 2011-12-31
Maryland_Biomass_BMA.tif 24.6MB 2011-01-01 - 2011-12-31
Maryland_Biomass_RF.tif 24.4MB 2011-01-01 - 2011-12-31
Maryland_Biomass_BMA_low.tif 24.9MB 2011-01-01 - 2011-12-31
Maryland_Biomass_BMA_high.tif 24.6MB 2011-01-01 - 2011-12-31
Maryland_Biomass_ED.tif 7.8MB 2011-01-01 - 2011-12-31
GarciaTract_Biomass.tif 2.9MB 2011-01-01 - 2011-12-31
Maryland_Biomass_OLS_high.tif 24.7MB 2011-01-01 - 2011-12-31
Maryland_Biomass_OLS.tif 24.8MB 2011-01-01 - 2011-12-31
ParkerTract_Biomass.tif 671.2KB 2011-01-01 - 2011-12-31
Maryland_Biomass_OLS_low.tif 24.7MB 2011-01-01 - 2011-12-31

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NumberEarliest DateLastest DateNotes
Downloads182014-11-132017-03-29229 total files downloaded