Landsat 2007 Land Cover and Impervious Surface Classifications of the Greater Twin Cities Metro Area and St. Croix River Basin Metadata

Full Metadata View Attributes View Sample Get Data


Landsat 2007 Land Cover and Impervious Surface Classifications of the Greater Twin Cities Metro Area and St. Croix River Basin


This page last updated:Metadata created using Minnesota Geographic Metadata Guidelines


Metadata Summary

Originator Remote Sensing and Geospatial Analysis Laboratory, University of Minnesota
Abstract Raster-based land cover data set derived from 30 meter resolution Thematic Mapper satellite imagery covering parts of Minnesota and Wisconsin. The Level 1 classification consists of 5 classes including: agriculture, forest, urban, water, and wetland/shrubland/grassland. The Level 2 classification consists of 15 classes. The urban/developed class was reclassified to percent impervious surface area.
Browse Graphic View a sample of the data
Time Period of Content Date
Currentness Reference Landsat imagery of early and late summer 2007
Access Constraints The Remote Sensing and Geospatial and Analysis Laboratory, University of Minnesota, has attempted to produce accurate maps, statistics and information of land cover and impervious surface area. However, it makes no representation or warranties, either expressed or implied, for the data accuracy, currency, suitability or reliability for any particular purpose. Although every effort has been made to ensure the accuracy of information, errors and conditions originating from the source data and processing may be present in the data supplied. Users are reminded that all geospatial maps and data are subject to errors in positional and thematic accuracy. The user accepts the data “as is” and assumes all risks associated with its use. The University of Minnesota and the Minnesota Pollution Control Agency assume no responsibility for actual or consequential damage incurred as a result of any user's reliance on the data. The data are the intellectual property of the University of Minnesota.
Use Constraints This data may be used for educational and non-commercial purposes, provided proper attribution is given. Secondary distribution of the data is permitted, but not supported by the University of Minnesota. By accepting the data, the user agrees not to transmit this data or provide access to it or any part of it to another party unless the user includes with the data a copy of this disclaimer.
Distributor Organization Remote Sensing and Geospatial Analysis Laboratory, University of Minnesota
Ordering Instructions see website or contact info http://land.umn.edu
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 for Landsat 2007 Land Cover and Impervious Surface Classifications of the Greater Twin Cities Metro Area and St. Croix River Basin


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
Title Landsat 2007 Land Cover and Impervious Surface Classifications of the Greater Twin Cities Metro Area and St. Croix River Basin
Abstract Raster-based land cover data set derived from 30 meter resolution Thematic Mapper satellite imagery covering parts of Minnesota and Wisconsin. The Level 1 classification consists of 5 classes including: agriculture, forest, urban, water, and wetland/shrubland/grassland. The Level 2 classification consists of 15 classes. The urban/developed class was reclassified to percent impervious surface area.
Purpose Land use planning, natural resource monitoring
Time Period of Content Date
Currentness Reference Landsat imagery of early and late summer 2007
Progress Complete
Maintenance and Update Frequency As needed
Spatial Extent of Data Minnesota
Bounding Coordinates 319521
656001
5205175.8
4798525.8
Place Keywords St. Croix River Basin, Minnesota, Wisconsin, Twin Cities, Minneapolis, St Paul
Theme Keywords Minnesota, Wisconsin, Twin Cities, St. Croix River, Landsat, image classification, land cover, impervious surface area
Theme Keyword Thesaurus Landsat - an earth-orbiting satellite that acquires digital multispectral imagery at 30-meter spatial resolution.
Access Constraints The Remote Sensing and Geospatial and Analysis Laboratory, University of Minnesota, has attempted to produce accurate maps, statistics and information of land cover and impervious surface area. However, it makes no representation or warranties, either expressed or implied, for the data accuracy, currency, suitability or reliability for any particular purpose. Although every effort has been made to ensure the accuracy of information, errors and conditions originating from the source data and processing may be present in the data supplied. Users are reminded that all geospatial maps and data are subject to errors in positional and thematic accuracy. The user accepts the data “as is” and assumes all risks associated with its use. The University of Minnesota and the Minnesota Pollution Control Agency assume no responsibility for actual or consequential damage incurred as a result of any user's reliance on the data. The data are the intellectual property of the University of Minnesota.
Use Constraints This data may be used for educational and non-commercial purposes, provided proper attribution is given. Secondary distribution of the data is permitted, but not supported by the University of Minnesota. By accepting the data, the user agrees not to transmit this data or provide access to it or any part of it to another party unless the user includes with the data a copy of this disclaimer.
Contact Person Information Marvin Bauer, Professor
University of Minnesota
1530 N. Cleveland Ave
St Paul , MN 55108
Phone: 612-624-3703
Fax: 612-625-5212
Email : mbauer@umn.edu
Browse Graphic View a sample of the data
Browse Graphic File Description
Associated Data Sets

Section 2 Data Quality Information Top of full metadata Top of page
Attribute Accuracy The Level 1 dataset has an overall classification accuracy of about 91.2%. For each Level 1 class, 120 pixels were selected and assessed for accuracy. The results were compiled in an error matrix, as shown below. Then each column in the error matrix was multiplied by the proportion of that cover type on the landscape, and compiled to yield an overall accuracy estimate for the entire image. Detailed reference information was not available to complete an assessment of level 2 accuracy.

Reference Data
Classified 10-Agri 20-For 30-Urb 40-Water 50-Wet/Shrub/Grass TOTAL
10-Agri 115 0 4 0 1 120
20-Forest 2 113 0 0 5 120
30-Urban 5 5 103 0 7 120
40-Water 0 2 0 117 1 120
50-Wet/Shrub/Grass 0 4 0 0 116 120
TOTAL 122 124 107 117 130

User's Accuracy Producer's Accuracy
10-Agri 96.36% 94.26%
20-Forest 97.55% 91.13%
30-Urban 28.31% 96.26%
40-Water 72.48% 100.00%
50-Wet/Shrub/Grass 93.65% 89.23%

Impervious Surface Area Accuracy Assessment:

To measure the accuracy of the Landsat-derived impervious surface estimates, an independent sample of assessment sites were selected for each of the Landsat images. The sites were randomly selected and compared with high resolution aerial imagery to determine the amount of impervious surface within each accuracy assessment sites. Accuracy was determined with a regression of actual vs. predicted plots results are listed below.

path 27 row 29 (TCMA area)

Residual standard error: 10.31 on 133 degrees of freedom
Multiple R-squared: 0.9377, Adjusted R-squared: 0.9372
F-statistic: 2001 on 1 and 133 DF, p-value: < 2.2e-16

path 27 row 28 (North of the TCMA)

Residual standard error: 14.9 on 117 degrees of freedom
Multiple R-squared: 0.8362, Adjusted R-squared: 0.8348
F-statistic: 597.2 on 1 and 117 DF, p-value: < 2.2e-16

path 26 row 29 (Wisconsin, east of the TCMA)

Residual standard error: 11.5 on 107 degrees of freedom
Multiple R-squared: 0.8912, Adjusted R-squared: 0.8901
F-statistic: 876 on 1 and 107 DF, p-value: < 2.2e-16

Logical Consistency
Completeness
Horizontal Positional Accuracy RMS error is less than 1/4 - pixel or 7.5 meters
Vertical Positional Accuracy RMS error is less than 1/4 - pixel or 7.5 meters
Lineage
Raw Landsat images were georeferenced to less than ¼ pixel RMS error. Early- and late-summer images were stacked to create a single image with 14 bands of spectral information. A guided clustering classification approach was applied. Training areas were delineated for Level 1 classes (agriculture, forest, urban, water, wetland/shrubland/grassland). One class at a time, training area pixels were clustered into subclasses based on their spectral characteristics. Spectral signature separability was evaluated for the subclasses (within, then among level 1 classes), and signatures were merged or deleted as necessary. Then a maximum likelihood classifier was used to classify the entire image. Subclasses were subsequently combined back into level 1 classes. Level 2 classes for forest, urban, and wetland/shrubland/grassland were derived by assessing subclass clusters. For agricultural pixels, level 2 classes were drawn directly from the 2007 NASS Cropland Data Layer classification (resampled to 30 m resolution), because adequate reference data was not available. The level 2 'Extraction' class was derived from a 2005 Metropolitan Council shapefile, and is only available for Anoka, Carver, Dakota, Hennepin, Ramsey, Scott, and Washington Counties. The urban/developed class was reclassified to percent impervious surface area.

Impervious Surface Area:
Landsat Thematic Mapper data were used to classify and map impervious surface area for the Urban class. Impervious area is mapped as a continuous variable from 0 to 100 percent for each 30-meter pixel in raw form. For distribution impervious has been reduced to 6 classes.

Rectified Landsat imagery was transformed to tasseled cap values using ERDAS Imagine default processes. Only band two (greeness) was used for the impervious transformation.

Model calibration sites were randomly selected and high resolution aerial imagery was used to determine the amount of impervious surface within each calibration site. Fifty or more sites, distributed across the image area, were collected for each image. Imperious surface area was determined from the FSA-NAIP imagery. Percent impervious surface area was calculated for each site by hand digitizing impervious surface within the site.

Modeling Impervious Surface Area:

The measurements of impervious surface area from the calibration sites were used to develop a least squares regression model relating percent impervious to the spectral-radiometric response of the Landsat TM data for each of the images. The Landsat parameter used to estimate percent impervious was tasseled cap greenness which is sensitive to the amount of green vegetation and therefore is inversely related to the amount of impervious. The regression model used was different for each Landsat image.

Source Scale Denominator

Section 3 Spatial Data Organization Information Top of full metadata Top of page
Native Data Set Environment Imagine 9.3
Geographic Reference for Tabular Data
Spatial Object Type Raster
Vendor Specific Object Types
Tiling Scheme

Section 4 Spatial Reference Information Top of full metadata Top of page
Horizontal Coordinate Scheme Universal Transverse Mercator
Ellipsoid Geodetic Reference System 80
Horizontal Datum NAD83
Horizontal Units meters
Distance Resolution
Cell Width 30.000000
Cell Height 30.000000
UTM Zone Number 15

Section 5 Entity and Attribute Information Top of full metadata Top of page
Entity and Attribute Overview 0 Unclassified
11 Row crops
12 Small grains
13 Pasture / hay
14 Other crops
20 Forest
21 Deciduous forest
22 Coniferous forest
23 Mixed forest
30 Urban
32 Turf grass
33 Extraction (gravel pits, etc) [7-county TCMA only]
40 Water (open water)
50 Wetland / Grassland / Shrubland
51 Woody wetland
52 Emergent herbaceous wetland
53 Shrubland
54 Grassland / herbaceous
61 Impervious intensity >0% - 10%.
62 Impervious intensity >10% - 25%.
63 Impervious intensity >25% - 40%.
64 Impervious intensity >40% - 60%.
65 Impervious intensity >60% - 80%.
66 Impervious intensity >80% - 100%.
Entity and Attribute Detailed Citation LEVEL 1 CLASSES
0 Unclassified
10 Agriculture (combine 11-19)
20 Forest (combine 21-29)
30 Urban (combine 31-39 and 60-69)
40 Water
50 Wetland/shrubland/grassland (combine 51-59)

Level 2 Classes
11 Agriculture Land cover Row crops.
12 Agriculture Land cover Small grains.
13 Agriculture Land cover Pasture / hay.
14 Agriculture Land cover Other crops.
21 Forest Land cover Deciduous forest
22 Forest Land cover Coniferous forest
23 Forest Land cover Mixed forest
(31) Urban Land Cover Developed land (impervious 0-100%)
32 Urban Land Cover Turf grass
33 Urban Land Cover Extraction (gravel pits, etc) [7-county TCMA only]
40 Open water
51 Woody wetland Land Cover
52 Emergent herbaceous wetland Land Cover
53 Shrubland Land Cover
54 Grassland / herbaceous Land Cover
61 Acres of Urban Impervious intensity greater than 0 and less than or equal to 10.
62 Acres of Urban Impervious intensity greater than 10 and less than or equal to 25.
63 Acres of Urban Impervious intensity greater than 25 and less than or equal to 40.
64 Acres of Urban Impervious intensity greater than 40 and less than or equal to 60.
65 Acres of Urban Impervious intensity greater than 60 and less than or equal to 80.
66 Acres of Urban Impervious intensity greater than 80 and less than or equal to 100.


Section 6 Distribution Information Top of full metadata Top of page
Publisher Remote Sensing and Geospatial Analysis Lab, Univeristy of Minnesota
Publication Date
Contact Person Information Marvin Bauer, Professor
Remote Sensing and Geospatial Analysis Laboratory, University of Minnesota
1530 Cleveland Avenue North
St. Paul , MN 55108
Phone: 612-624-3703
Fax: 612-625-5212
Email: mbauer@umn.edu
Distributor's Data Set Identifier Downloadable Data
Distribution Liability This data may be used for educational and non-commercial purposes, provided proper attribution is given. Secondary distribution of the data is permitted, but not supported by the University of Minnesota. By accepting the data, the user agrees not to transmit this data or provide access to it or any part of it to another party unless the user includes with the data a copy of this disclaimer.
Transfer Format Name Erdas/Imagine Export and GeoTiff
Transfer Format Version Number
Transfer Size 0.000
Ordering Instructions see website or contact info http://land.umn.edu
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.

Section 7 Metadata Reference Information Top of full metadata Top of page
Metadata Date
Contact Person Information Marvin Bauer, Professor
University of Minnesota
1530 Cleveland Ave North
St. Paul , MN 55108
Phone: 612-624-3703
Fax:
Email: mbauer@umn.edu
Metadata Standard Name Minnesota Geographic Metadata Guidelines
Metadata Standard Version 1.2
Metadata Standard Online Linkage http://www.gis.state.mn.us/stds/metadata.htm


This page last updated Go back to top