LiDAR Derived Biomass, Canopy Height, and Cover for New England Region, USA, 2015
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LiDAR Derived Biomass, Canopy Height, and Cover for New England Region, USA,...
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30 m resolution maps of aboveground biomass density (AGBD) over the New...
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Landing PageLanding Page
Dates
Metadata Created Date | December 1, 2022 |
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Metadata Updated Date | December 6, 2023 |
Metadata Source
- Data.json Data.json Metadata
Harvested from NASA Data.json
Graphic Preview
![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 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)
Additional Metadata
Resource Type | Dataset |
---|---|
Metadata Created Date | December 1, 2022 |
Metadata Updated Date | December 6, 2023 |
Publisher | ORNL_DAAC |
Maintainer | |
Identifier | C2345879771-ORNL_CLOUD |
Data First Published | 2022-11-28 |
Language | en-US |
Data Last Modified | 2023-06-12 |
Category | CMS, geospatial |
Public Access Level | public |
Bureau Code | 026:00 |
Metadata Context | https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld |
Metadata Catalog ID | https://data.nasa.gov/data.json |
Schema Version | https://project-open-data.cio.gov/v1.1/schema |
Catalog Describedby | https://project-open-data.cio.gov/v1.1/schema/catalog.json |
Citation | Tang, H., L. Ma, A.J. Lister, J. ONeil-Dunne, J. Lu, R. Lamb, R.O. Dubayah, and G.C. Hurtt. 2021. LiDAR Derived Biomass, Canopy Height, and Cover for New England Region, USA, 2015. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1854 |
Graphic Preview Description | 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 |
Graphic Preview File | https://daac.ornl.gov/CMS/guides/AGB_CanopyHt_Cover_NewEngland_Fig1.png |
Harvest Object Id | ca58bf83-077a-42e0-acc1-e708cd8785e3 |
Harvest Source Id | 58f92550-7a01-4f00-b1b2-8dc953bd598f |
Harvest Source Title | NASA Data.json |
Homepage URL | https://doi.org/10.3334/ORNLDAAC/1854 |
Metadata Type | geospatial |
Old Spatial | -74.8 39.96 -66.36 46.76 |
Program Code | 026:001 |
Source Datajson Identifier | True |
Source Hash | 9806357c5e6116f9bd9ab3010b6f61bbe0b11cb52ee7dbdb483cc02783180019 |
Source Schema Version | 1.1 |
Spatial | |
Temporal | 2010-01-01T00:00:00Z/2015-12-31T23:59:59Z |
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