Dataset Identification:
Resource Abstract:
- description: This dataset combines the work of several different projects to create a seamless data set for the contiguous
United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset.
In the Northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest
Gap Analysis Project. In the Southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this
map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South
Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated
by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of
the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from
the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data
they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction
with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation.
Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed
by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas
where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land
Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to
discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small
patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At
the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii
the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the
National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users
to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced
species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land
use classes occur at each of the thematic levels. Six layer files are included in the download packages to assist the user
in displaying the data at each of the Thematic levels in ArcGIS.; abstract: This dataset combines the work of several different
projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and
the LANDFIRE project were combined to make this dataset. In the Northwestern United States (Idaho, Oregon, Montana, Washington
and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the Southwestern United States (Colorado, Arizona,
Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida,
Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis
Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project
provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a
regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects
made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery
(Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform)
to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification
(Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes
that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes
were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a
decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques
were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple
levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System
classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to
the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup.
This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or
areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to
as land use classes; these land use classes occur at each of the thematic levels. Six layer files are included in the download
packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS.
Citation
- Title BLM REA MIR 2011 GAP Landcover - Forest Woodlands.
-
- creation Date
2018-06-08T17:50:17.335421
Resource language:
Processing environment:
Back to top:
Metadata data stamp:
2018-08-06T19:38:22Z
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 2018-08-06T19:38:22Z
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:d342d3f0-c3bf-40e2-acf8-4b36448e9358
Metadata record format is ISO19139 XML (MD_Metadata)