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

This page last updated: 04/10/2007
Metadata created using Minnesota Geographic Metadata Guidelines


Metadata Summary

Originator Remote Sensing and Geospatial Analysis Laboratory, University of Minnesota, and Minnesota Land Management Information Center (LMIC)
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.
Browse Graphic none available
Time Period of Content Date 2000
Currentness Reference A multitemporal composite of three dates of Landsat imagery from the spring and summer of 2000, April 29, June 8 and September 12, were classified to create the Level 1 and Level 2 Land Cover Classification data files. The Impervious Surface file was derived from the September 12, 2000, imagery only.
Access Constraints None
Use Constraints None
Distributor Organization Land Management Information Center, Minnesota Department of Administration
Ordering Instructions Data set can be downloaded from the LMIC ftp site.

The EPPL files are packaged as an Atlas Archive (called Atlas.zip) - for downloading and using within the Minnesota Environmental Atlas software. These data are packaged with associated legend, pedigree, and color files, and metadata.

To use this data with the Minnesota Environmental Atlas software:
- Create a subdirectory under the 'Atlas' directory for the data collection
- Copy the Atlas Archive zipfile to this location and unzip
- Within the Minnesota Environmental Atlas software, Select 'Open File Load Layers', then point to the directory where you have copied the layers.
- Select the layers you want to move, and move the layers to the right.
- Select all layers and click 'OK'

To use this data with the EPPLViewer2001 software:
- Unzip Atlas.zip file to the EPPLViewer2001 Main Directory

To use this data with the EPIC software:
- Unzip Atlas.zip file and copy data into the Metro30 Study Area
Online Linkage Click here to download data. (See Ordering Instructions above for details.) By clicking here, you agree to the notice in "Distribution Liability" in Section 6 of this metadata.

Full Metadata

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

Go to Section:
1. Identification Information
2. Data Quality Information
3. Spatial Data Organization Information
4. Spatial Reference Information
5. Entity and Attribute Information
6. Distribution Information
7. Metadata Reference Information

 
Section 1 Identification Information   Top of page
Originator Remote Sensing and Geospatial Analysis Laboratory, University of Minnesota, and Minnesota Land Management Information Center (LMIC)
Title Landsat-Derived 2000 Land Cover Classifications and Impervious Surface for the Twin Cities Metropolitan Area - EPPL7 Format
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.
Purpose These data sets were converted into EPPL7 format so that they could be accessed by users of the Minnesota Environmental Atlas, EPIC Planner, EPPLViewer, and EPPL7.
Time Period of Content Date 2000
Currentness Reference A multitemporal composite of three dates of Landsat imagery from the spring and summer of 2000, April 29, June 8 and September 12, were classified to create the Level 1 and Level 2 Land Cover Classification data files. The Impervious Surface file was derived from the September 12, 2000, imagery only.
Progress Complete
Maintenance and Update Frequency As needed
Spatial Extent of Data Twin Cities Metropolitan Area (TCMA) of Minnesota, including Anoka, Carver, Dakota, Hennepin, Ramsey, Scott, and Washington Counties.
Bounding Coordinates -94.012
-92.732
45.415
44.471
Place Keywords Twin Cities Metropolitan Area, Anoka County, Carver County, Dakota County, Hennepin County, Ramsey County, Scott County, Washington County
Theme Keywords imageryBaseMapsEarthCover, Landsat, image classification, land cover, impervious surface, permeability, runoff
Theme Keyword Thesaurus ISO 19115 Topic Category
Access Constraints None
Use Constraints None
Contact Person Information Marvin Bauer, Professor
Remote Sensing and Geospatial Analysis Lab
1530 Cleveland Avenue North
St. Paul, Minnesota 55108
Phone: (612) 624-3703
FAX: (612) 625-5212
E-mail: mbauer@umn.edu
Browse Graphic none available
Browse Graphic File Description
Associated Data Sets The original GeoTIFF versions of these files as created by the U of M Remote Sensing Center are available for use with other GIS products. See:

http://www.lmic.state.mn.us/chouse/metadata/lc2000_1.html
http://www.lmic.state.mn.us/chouse/metadata/lc_00_2.html
http://www.lmic.state.mn.us/chouse/metadata/imp_2000.html

 
Section 2 Data Quality Information Top of full metadata Top of page
Attribute Accuracy See Lineage for attribute accuracy description of each data set. See also the note at the end of the Lineage section, describing issues surrounding interpretation of gravel pits.
Logical Consistency
Completeness Data contains complete coverage over the stated extent of the data
Horizontal Positional Accuracy See Lineage for Horizontal Positional Accuracy for each data layer
Vertical Positional Accuracy Not Applicable
Lineage Production of original data sets by the Remote Sensing and Geospatial Analysis Laboratory, University of Minnesota:

Landsat Level-1 Land Cover Classification of TCMA, 2000: For the level-1 classification, an unsupervised classification was performed to subdivide the data into 100 clusters. The 100 clusters were then grouped into the 5 classes of level-1 land cover by recoding and rule-based spatial analysis. Single, isolated pixels that produced a salt-and-pepper effect on the classified imagery were removed in a post-processing step. Attribute Accuracy: The data set has an overall classification accuracy of 95% for level-1 classification. Horizontal Positional Accuracy: RMS error is less than 1/4 - pixel or 7.5 meters.

Landsat Level-2 Land Cover Classification of TCMA, 2000: Landsat Thematic Mapper multi-temporal imagery was classified using a a three-stage hybrid classification method within ERDAS/Imagine software. The first stage was an unsupervised classification and stratification. The second stage was a supervised classification of forest types, rule-based clustering of non-forested vegetation, and regression estimation of percent impervious area of urban areas. The third stage was the final map generation and post processing. Single, isolated pixels that produced a salt-and-pepper effect on the classified imagery were removed in the post-processing step. Attribute Accuracy: The data set has an overall classification accuracy of 85% for level-2 classification. Horizontal Positional Accuracy: 1/4 pixel or about 7.5 meters.

Impervious Surface Classification of TCMA, 2000: The source data for the Impervious Surface coverage was Landsat-5 TM imagery over path 27, rows 28 and 29 acquired on 9/12/2000. Well-distributed sample areas were selected to represent levels of percent imperviousness from DOQ's (Digital Ortho Quarter-Quads) covering the TCMA. A complete range of percent imperviousness was collected with at least two sample areas for every 5% interval. ArcView 3.2 was used to digitize the boundaries around each impervious feature and calculate the impervious surface percentage for each individual sample area. After calculating and attributing the percent imperviousness for each sample area, we determined the mean Landsat TM tasseled cap greenness value for each sample area by overlaying the sample onto Landsat greenness image. We then created a second order polynomial regression equation with the mean greenness values as the independent variable and DOQ sampled percent impervious surface area as the dependent variable. With this regression equation, we estimated impervious surface percent for each image pixel and rescaled the output values from 0 - 100%. Attribute Accuracy: The accuracy assessment was completed by selecting independent sample areas over the imagery. The percent impervious surface area was determined on DOQs for each sample and then compared to the estimated percent impervious surface from the regression model. The agreement between the Landsat estimate and DOQ measurements, as indicated by Rē, was 0.91, with a standard error for of 8.1%. Horizontal Positional Accuracy: Not Available.

Conversion of data sets to EPPL7 format (Land Management Information Center):

Data were imported using the EPPL IMPORT command (TIFF to EPPL).
The data set was then matched to the EPPL 'Metro30' sitemask. The 'Metro30' sitemask is a Twin Cities Metro 7-county boundary file which is used to reference all data sets in the EPPL Metro Area 30-meter data series to a consistent boundary. Where the boundary of the GeoTIFF data and the Metro30 sitemask boundary did not match exactly: 1: GeoTIFF cells outside the Metro30 sitemask boundary were cut out of the data set 2. Areas inside the Metro30 sitemask boundary for which there was no GeoTIFF data were added to the data set but given a value of 'Not Classified'. The color schemes of the Land Cover Classification files were modified to match other land use/cover depictions. The Level 1 Land Cover Classification color scheme was modified to match the Minnesota 1990's 8-class land use map. The Level 2 Land Cover Classification color scheme was modified to match other detailed land cover files already within the Minnesota Environmental Atlas.

NOTE: In the course of the classification of cover types from the imagery, one land cover category was difficult to distinguish. Gravel pits have the same signature as paved areas and are impossible to separate out based on the signature alone. This is an issue in the Land Cover-Level 2 and Impervious Surface Categories. To distinguish the gravel pits, EPPL users can use the 'extractive' category in other land use/cover files. Other software users can obtain the Arc/INFO export files derived from the Minnesota Geological Survey map, 'Aggregate Resources for the Twin Cities Metropolitan Area, Minnesota -1999' - MGS Miscellaneous Map Series Map M-102. For more information on this data set, see http://lucy.lmic.state.mn.us/metadata/m102.html .
Source Scale Denominator
 
Section 3 Spatial Data Organization Information Top of full metadata Top of page
Native Data Set Environment EPPL7
Geographic Reference for Tabular Data
Spatial Object Type Raster
Vendor Specific Object Types Raster
Tiling Scheme Twin Cities 7-County Metropolitan Area
 
Section 4 Spatial Reference Information Top of full metadata Top of page
Horizontal Coordinate Scheme UTM
Ellipsoid GRS80
Horizontal Datum NAD83
Horizontal Units Meters
Distance Resolution
Cell Width 30
Cell Height 30
UTM Zone Number 15E
 
Section 5 Entity and Attribute Information Top of full metadata Top of page
Entity and Attribute Overview
Entity and Attribute Detailed Citation Legend and Pedigree files are provided with each EPPL data file. For more background on the original data, see:

http://lucy.lmic.state.mn.us/metadata/lc2000_1.html
http://lucy.lmic.state.mn.us/metadata/lc_00_2.html
http://lucy.lmic.state.mn.us/metadata/imp_2000.html

Publications describing these data sets:

Bauer, Marvin, Fei Yuan, Geoffrey Holden and Nathan Heinert. 2002. Land Cover Classification of the Twin Cities Metropolitan Area by Landsat Remote Sensing, 2000. Technical Report, Remote Sensing Laboratory, University of Minnesota. 33 pages.

Bauer, Marvin, Nathan Heinert and Jean Doyle. 2003. Impervious Surface Mapping and Change Monitoring using Landsat Remote Sensing. Technical report, Remote Sensing Laboratory, University of Minnesota. 26 pages.
 
Section 6 Distribution Information Top of full metadata Top of page
Publisher Minnesota Land Management Information Center (LMIC)
Publication Date 2003
Contact Person Information Ken Pekarek
EPPL7 Coordinator
Land Management Information Center, Minnesota Department of Administration
300 Centennial Building; 658 Cedar Street
St. Paul, Minnesota 55155
Phone: 651-201-2499
FAX: 651-296-3698
E-mail: clearing.house@lmic.state.mn.us
Distributor's Data Set Identifier lc2000ep
Distribution Liability 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.
Transfer Format Name EPPL7 files formatted for use in Minnesota Environmental Atlas
Transfer Format Version Number
Transfer Size 5632 KB
Ordering Instructions Data set can be downloaded from the LMIC ftp site.

The EPPL files are packaged as an Atlas Archive (called Atlas.zip) - for downloading and using within the Minnesota Environmental Atlas software. These data are packaged with associated legend, pedigree, and color files, and metadata.

To use this data with the Minnesota Environmental Atlas software:
- Create a subdirectory under the 'Atlas' directory for the data collection
- Copy the Atlas Archive zipfile to this location and unzip
- Within the Minnesota Environmental Atlas software, Select 'Open File Load Layers', then point to the directory where you have copied the layers.
- Select the layers you want to move, and move the layers to the right.
- Select all layers and click 'OK'

To use this data with the EPPLViewer2001 software:
- Unzip Atlas.zip file to the EPPLViewer2001 Main Directory

To use this data with the EPIC software:
- Unzip Atlas.zip file and copy data into the Metro30 Study Area
Online Linkage Click here to download data. (See Ordering Instructions above for details.) By clicking here, you agree to the notice in "Distribution Liability" above.
 
Section 7 Metadata Reference Information Top of full metadata Top of page
Metadata Date 04/10/2007
Contact Person Information Susanne Maeder, GIS Data Coordinator
Minnesota Land Management Information Center (LMIC)
300 Centennial Building; 658 Cedar Street
St. Paul, Minnesota 55155
Phone: 651-201-2488
FAX: 651-296-3698
E-mail: clearing.house@state.mn.us
Metadata Standard Name Minnesota Geographic Metadata Guidelines
Metadata Standard Version 1.2
Metadata Standard Online Linkage http://www.lmic.state.mn.us/gc/stds/metadata.htm


This page last updated: 04/10/2007