LiDAR Derived Biomass, Canopy Height, and Cover for New England Region, USA, 2015

Description

This dataset provides 30 m gridded estimates of aboveground biomass density (AGBD), forest canopy height, and tree canopy coverage for the New England Region of the U.S., including the state of Maine, Vermont, New Hampshire, Massachusetts, Connecticut, and Rhode Island, for the nominal year 2015. It is based on inputs from 1 m resolution Leaf-off LiDAR data collected from 2010 through 2015, high-resolution leaf-on agricultural imagery, and FIA plot-level measurements. Canopy height and tree cover were derived directly from LiDAR data while AGBD was estimated by statistical models that link remote sensing data and FIA plots at the pixel level. Error in AGBD was calculated at the 90% confidence interval. This approach can directly contribute to the formation of a cohesive forest carbon accounting system at national and even international levels, especially via future integrations with NASA's spaceborne LiDAR missions.

Resources

Name Format Description Link
21 This link allows direct data access via Earthdata login https://daac.ornl.gov/cms/AGB_CanopyHt_Cover_NewEngland/
21 ORNL DAAC Data Set Documentation https://daac.ornl.gov/CMS/guides/AGB_CanopyHt_Cover_NewEngland.html
21 Data set Landing Page DOI URL https://doi.org/10.3334/ORNLDAAC/1854
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.3334%2FORNLDAAC%2F1854
33 LiDAR Derived Biomass, Canopy Height, and Cover for New England Region, USA, 2015: AGB_CanopyHt_Cover_NewEngland.pdf https://data.ornldaac.earthdata.nasa.gov/public/cms/AGB_CanopyHt_Cover_NewEngland/comp/AGB_CanopyHt_Cover_NewEngland.pdf
34 30 m resolution maps of aboveground biomass density (AGBD) over the New England region in 2015. a) The mean of the posterior distribution sampled from a Markov chain Monte Carlo (MCMC) model. b) The AGBD estimate over an entire pixel adjusted by canopy cover (i.e., AGBD multiplied by canopy cover percentage). Despite similar forest carbon density values between forests and suburban areas, their total carbon stock per unit area can differ by one order of magnitude, highlighting the requirement for high-resolution mapping of both forest density and extent in a carbon accounting framework. Source: Tang et al., 2021 https://daac.ornl.gov/CMS/guides/AGB_CanopyHt_Cover_NewEngland_Fig1.png

Tags

  • biosphere
  • vegetation
  • earth-science

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