Dataset Identification:
Resource Abstract:
- description: Raster-based land cover data sets are derived from 30-meter resolution Thematic Mapper satellite imagery. These
data sets were created at the Remote Sensing and Geospatial Analysis Laboratory at the University of Minnesota. The Land Management
Information Center converted these data files into EPPL7 format to be used with EPPL7 mapping products. There are currently
three themes in this data set: 1. Landsat Level-1 Land Cover Classification of the Twin Cities Metropolitan Area, 2000: This
coverage consists of 6 classes including: urban/developed, agriculture (planted or cultivated), forest, non-forested vegetation,
water, not classified. 2. Landsat Level-2 Land Cover Classification of the Twin Cities Metropolitan Area, 2000: This coverage
consists of 12 classes including: 0-4% impervious, 5-10% impervious, 11-25% impervious, 26-50% impervious 51-75% impervious,
76-100% impervious, Cropland, Planted trees & grasses, Coniferous, Deciduous, Upland shrubland & herbaceous, Lowland
shrubland & herbaceous, Water. Definitions for these classes are based on the Minnesota Land Cover Classification System
(MLCCS). 3. Impervious Surface Classification of the Twin Cities Metropolitan Area, 2000: Landsat TM data have been used to
map the percentage of impervious surface area of the seven-county TCMA for the year 2000. Impervious surfaces are defined
as areas impenetrable by water - including roads, rooftops, sidewalks and parking lots. The coverage provides information
on the percentage of impervious surface on a 30-meter pixel basis for all urban areas. The impervious surface layer was derived
from a single date of Landsat-5 TM data. Following the classification of land cover types, a regression model relating percent
impervious surface area to Landsat TM greenness values was used to estimate the percent impervious surface area for pixels
classified as urban or developed. Classification of the Landsat TM data provides a means to map and quantify the degree of
impervious surface area, an indicator of environmental quality, over large geographic areas and over time.; abstract: Raster-based
land cover data sets are derived from 30-meter resolution Thematic Mapper satellite imagery. These data sets were created
at the Remote Sensing and Geospatial Analysis Laboratory at the University of Minnesota. The Land Management Information Center
converted these data files into EPPL7 format to be used with EPPL7 mapping products. There are currently three themes in this
data set: 1. Landsat Level-1 Land Cover Classification of the Twin Cities Metropolitan Area, 2000: This coverage consists
of 6 classes including: urban/developed, agriculture (planted or cultivated), forest, non-forested vegetation, water, not
classified. 2. Landsat Level-2 Land Cover Classification of the Twin Cities Metropolitan Area, 2000: This coverage consists
of 12 classes including: 0-4% impervious, 5-10% impervious, 11-25% impervious, 26-50% impervious 51-75% impervious, 76-100%
impervious, Cropland, Planted trees & grasses, Coniferous, Deciduous, Upland shrubland & herbaceous, Lowland shrubland
& herbaceous, Water. Definitions for these classes are based on the Minnesota Land Cover Classification System (MLCCS).
3. Impervious Surface Classification of the Twin Cities Metropolitan Area, 2000: Landsat TM data have been used to map the
percentage of impervious surface area of the seven-county TCMA for the year 2000. Impervious surfaces are defined as areas
impenetrable by water - including roads, rooftops, sidewalks and parking lots. The coverage provides information on the percentage
of impervious surface on a 30-meter pixel basis for all urban areas. The impervious surface layer was derived from a single
date of Landsat-5 TM data. Following the classification of land cover types, a regression model relating percent impervious
surface area to Landsat TM greenness values was used to estimate the percent impervious surface area for pixels classified
as urban or developed. Classification of the Landsat TM data provides a means to map and quantify the degree of impervious
surface area, an indicator of environmental quality, over large geographic areas and over time.
Citation
- Title Landsat-Derived 2000 Land Cover Classifications and Impervious Surface for the Twin Cities Metropolitan Area - EPPL7 Format.
-
- creation Date
2015-04-09T23:31:39.082515
Resource language:
Processing environment:
Back to top:
Metadata data stamp:
2018-08-06T23:18:45Z
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 2018-08-06T23:18:45Z
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:763f3a18-fb1f-4969-b522-cb587ee55462
Metadata record format is ISO19139 XML (MD_Metadata)