Dataset Identification:
Resource Abstract:
- description: The dataset represents the work of multiple states and Federal agencies as part of the US Gap Analysis and LandFire
programs. Multi-season satellite imagery (Landsat ETM+) from 1999-2001 were used in conjunction with digital elevation model
(DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. The minimum mapping unit for
this dataset is approximately 1 acre. Landcover classes are drawn from NatureServe's Ecological System concept. Five-hundred
and fourty-four land cover classes composed of 12 cultural and 532 Natural/Semi-natural types are described. Land cover classes
were mapped with a variety of techniques including decision tree classifiers, terrian modeling, inductive modeling, and unsupervised
classification. The 67 USGS mapping zones were modeled independently of one another by multiple spatial analysis laboratories.
Following completion of the national data set each individual land cover type was evaluated by NatureServe through individual
working groups and two regional workshops attended by State, Federal, and Heritage Program ecologist. Where individual systems
were identified with likely errors a description was recorded of the issue and a fix where available was described and initiated
by NatureServe. All changes are available in supporting documentation and represent the opinion of multiple experts.; abstract:
The dataset represents the work of multiple states and Federal agencies as part of the US Gap Analysis and LandFire programs.
Multi-season satellite imagery (Landsat ETM+) from 1999-2001 were used in conjunction with digital elevation model (DEM) derived
datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. The minimum mapping unit for this dataset
is approximately 1 acre. Landcover classes are drawn from NatureServe's Ecological System concept. Five-hundred and fourty-four
land cover classes composed of 12 cultural and 532 Natural/Semi-natural types are described. Land cover classes were mapped
with a variety of techniques including decision tree classifiers, terrian modeling, inductive modeling, and unsupervised classification.
The 67 USGS mapping zones were modeled independently of one another by multiple spatial analysis laboratories. Following completion
of the national data set each individual land cover type was evaluated by NatureServe through individual working groups and
two regional workshops attended by State, Federal, and Heritage Program ecologist. Where individual systems were identified
with likely errors a description was recorded of the issue and a fix where available was described and initiated by NatureServe.
All changes are available in supporting documentation and represent the opinion of multiple experts.
Citation
- Title BLM REA COP 2010 NatureServe National Landcover (v27) RockyMountainGambelOakMixedMontaneShrubland_NatureServe_DIST_30m.
-
- creation Date
2017-12-12T00:47:55.061283
Resource language:
Processing environment:
Back to top:
Metadata data stamp:
2018-08-06T20:26:34Z
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 2018-08-06T20:26:34Z
Metadata contact
-
pointOfContact
- organisation Name
CINERGI Metadata catalog
-
- Contact information
-
-
- Address
-
- 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:47e2fec0-dad1-448c-af34-d7646165c830
Metadata record format is ISO19139 XML (MD_Metadata)