This is a Non-Federal dataset covered by different Terms of Use than Data.gov.

Landsat-Derived 2000 Land Cover Classifications and Impervious Surface for the Twin Cities Metropolitan Area - EPPL7 Format

Metadata Updated: November 10, 2020

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.

Access & Use Information

Non-Federal: This dataset is covered by different Terms of Use than Data.gov. License: No license information was provided.

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Dates

Metadata Date April 10, 2007
Metadata Created Date November 10, 2020
Metadata Updated Date November 10, 2020
Reference Date(s) January 1, 2003 (publication)
Frequency Of Update asNeeded

Metadata Source

Harvested from Minnesota Geospatial Information Office

Additional Metadata

Resource Type Dataset
Metadata Date April 10, 2007
Metadata Created Date November 10, 2020
Metadata Updated Date November 10, 2020
Reference Date(s) January 1, 2003 (publication)
Responsible Party Remote Sensing and Geospatial Analysis Lab (Point of Contact)
Contact Email
Guid
Access Constraints Use Constraints: None, Access Constraints: None
Bbox East Long -92.732
Bbox North Lat 45.415
Bbox South Lat 44.471
Bbox West Long -94.012
Coupled Resource
Frequency Of Update asNeeded
Graphic Preview File
Harvest Object Id 11bb82e0-f29a-4c62-a0a5-8af20c8d149a
Harvest Source Id df350285-8807-4289-913e-a4c9d489b765
Harvest Source Title Minnesota Geospatial Information Office
Licence University of Minnesota Distribution Liability Statement: The data are provided as is and without any warranty to their performance, merchantability, or fitness for any particular purpose. The data were developed by the University of Minnesota for its own research purposes. The University does not represent or warrant that the data or documentation are error-free, complete, current or accurate. You are responsible for any consequences resulting from use of the data or your reliance on it. You should consult the data documentation for this particular data to determine its limitations and the precision to which the GIS data may depict distance, direction, location or geographic features. If you transmit or provide the GIS data (or any portion of it) to another user, it must include a copy of this disclaimer. Land Management Information Center Distibution Liability Statement: Limitations: Although extensive effort has been made to produce error free and complete data, all geographic information has limitations due to the scale, resolution, date and interpretation of the original source materials. You should consult available data documentation (metadata) for these particular data to determine their limitations and the precision to which they depict distance, direction, location or other geographic characteristics. These data may be subject to periodic change without prior notification. No Warranty: These data are provided as is, without any warranty whatsoever, including but not limited to any warranty as to their performance, merchantability, or fitness for any particular purpose. Liability: The entire risk as to the results of the use of these data is assumed by the user. LMIC is not responsible for any interpretation or conclusions based on these data made by those who acquire or use it. LMIC shall not be liable for any direct, indirect, special, incidental, compensatory or consequential damages or third party claims resulting from the use of these data, even if LMIC has been advised of the possibility of such potential loss or damage. In States that do not allow the exclusion or limitation of incidental or consequential damages, you may not use these data. Data Delivered on Electronic Media: If these data have been requested from LMIC on magnetic media, CD-ROM or any other physical media, LMIC will deliver this product in the computer-readable format agreed upon with the requestor. LMIC will re-issue these data if they are determined unreadable by correctly adjusted computer input devices, or when the medium is delivered in a damaged condition. Requests for re-issue of this digital data product must be made within 30 days of the date shipped from LMIC.
Metadata Language eng; USA
Metadata Type geospatial
Progress completed
Spatial Data Service Type
Spatial Reference System
Spatial Harvester True

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