Dataset Identification:
Resource Abstract:
- description: ABSTRACT: The RSS-15 team conducted an investigation using SIR-C , X-SAR and Landsat TM data for estimating total
above-ground dry biomass for the SSA and NSA modeling grids and component biomass for the SSA. Relationships of backscatter
to total biomass and total biomass to foliage, branch, and bole biomass were used to estimate biomass density across the landscape.;
abstract: ABSTRACT: The RSS-15 team conducted an investigation using SIR-C , X-SAR and Landsat TM data for estimating total
above-ground dry biomass for the SSA and NSA modeling grids and component biomass for the SSA. Relationships of backscatter
to total biomass and total biomass to foliage, branch, and bole biomass were used to estimate biomass density across the landscape.
Citation
- Title BOREAS RSS-15 SIR-C and TM Biomass and Landcover Maps of the NSA and SSA.
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- creation Date
2018-06-17T03:00:14.494452
Resource language:
Processing environment:
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Digital Transfer Options
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- Linkage for online resource
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- name Dublin Core references URL
- URL: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=483
- protocol WWW:LINK-1.0-http--link
- link function information
- Description URL provided in Dublin Core references element.
Metadata data stamp:
2018-08-06T21:19:31Z
Resource Maintenance Information
- maintenance or update frequency:
- notes: This metadata record was generated by an xslt transformation from a dc metadata record; Transform by Stephen M. Richard, based
on a transform by Damian Ulbricht. Run on 2018-08-06T21:19:31Z
Metadata contact
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pointOfContact
- organisation Name
CINERGI Metadata catalog
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- Contact information
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- Address
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- electronic Mail Address cinergi@sdsc.edu
Metadata language
eng
Metadata character set encoding:
utf8
Metadata standard for this record:
ISO 19139 Geographic Information - Metadata - Implementation Specification
standard version:
2007
Metadata record identifier:
urn:dciso:metadataabout:a7c2cbdb-cab6-4ee8-b582-f7e08aa509f0
Metadata record format is ISO19139 XML (MD_Metadata)