Forest Aboveground Biomass and Carbon Sequestration Potential for Maryland, USA.
Resources
6 resources available
-
Original Metadata
ISO -
Resource 2
PNG -
Resource 3
ZIP -
Resource 4
PDF -
Resource 5
HTML -
Resource 6
BIN
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "026:00" ] |
| contactPoint |
{ "fn": "Earthdata Forum", "@type": "vcard:Contact", "hasEmail": "mailto:earthdata-support@nasa.gov" } |
| description | This dataset provides 90-m resolution maps of estimated forest aboveground biomass (Mg/ha) for nominal year 2011 and projections of carbon sequestration potential for the state of Maryland. Estimated biomass and sequestration potential were computed using the Ecosystem Demography (ED) model, which integrates data from multiple sources, including: climate variables from the North American Regional Reanalysis (NARR) Product, soil variables from the Soil Survey Geographic Database (SSURGO), land cover variables from airborne lidar, the National Agriculture Imagery Program (NAIP) and the National Land Cover Database (NLCD), and vegetation parameters from the Forest Inventory and Analysis (FIA) Program. |
| distribution |
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| identifier | 10.3334/ORNLDAAC/1660 |
| keyword |
[ "earth-science-ecological-dynamics-biosphere-community-dynamics", "earth-science-ecological-dynamics-biosphere-ecosystem-functions", "earth-science-ecosystems-biosphere-anthropogenic-human-influenced-ecosystems", "earth-science-vegetation-biosphere-biomass", "earth-science-vegetation-biosphere-carbon" ] |
| license | https://www.usa.gov/government-works |
| modified | 2026-10-20 |
| programCode |
[ "026:000" ] |
| publisher |
{ "name": "ORNL_DAAC", "@type": "org:Organization" } |
| spatial |
"["CARTESIAN", [{"WestBoundingCoordinate": -79.5203, "NorthBoundingCoordinate": 39.8076, "EastBoundingCoordinate": -75.0487, "SouthBoundingCoordinate": 37.8322}]]"
|
| temporal | 2011-01-01/2011-12-31 |
| theme |
[ "Earth Science" ] |
| title | Forest Aboveground Biomass and Carbon Sequestration Potential for Maryland, USA. |