Illinois Department of Natural Resources, Illinois Natural History Survey, Illinois State Geological Survey, Illinois Department of Agriculture, United States Department of Agriculture National Agricultural Statistics Service's 1:100 000 Scale Land Cover of Illinois 1999-2000, Raster Digital Data, Version 2.0, September 2003.

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Frequently-anticipated questions:

What does this data set describe?

Title:
Illinois Department of Natural Resources, Illinois Natural History Survey, Illinois State Geological Survey, Illinois Department of Agriculture, United States Department of Agriculture National Agricultural Statistics Service's 1:100 000 Scale Land Cover of Illinois 1999-2000, Raster Digital Data, Version 2.0, September 2003.
Abstract:
The Land Cover of Illinois 1999-2000 is a raster, geo-referenced, categorized land cover data layer produced using satellite imagery from the Thematic Mapper (TM) instrument on Landsat 5 and the Enhanced Thematic Mapper (ETM+) on Landsat 7. The data are geospatial and georeferenced to UTM Zone 16 NAD 83 GRS 1980. The data were derived from 1999 and 2000 Landsat 5 and Landsat 7 TM satellite imagery acquired between the dates of April 30, 1999 and October 10, 2000. The approximate scale is 1:100,000 with a ground resolution of 30 meters by 30 meters. The Illinois Gap Analysis layer is aggregated to 29 standardized categories for display purposes.
Supplemental_Information:
In addition to the Illinois Natural History Survey and the Illinois Department of Natural Resources, other state agencies participated and assisted in the creation of this dataset. These agencies include: Illinois State Geological Survey, Illinois Department of Agriculture, National Agriculture Statistics Service, and the Illinois GAP Analysis Project.

ERDAS Imagine 8.5 is used as the Land Cover of Illinois 1999-2000's main image processing software.

Additional information about the Erdas Imagine .img formats can be found at: <http://www2.erdas.com/SupportSite/documentation/files/erdas7xfiles.pdf>

Additional information about EarthSat Inc's ortho-rectified GeoCover Stock used to georegister the Illinois Gap Analysis Layer can be found at: <http://www.geocover.com/>.

Satellite images are georeferenced and identified by path and row.

NOTE: The publication dates listed for the satellite imagery may or may not represent the actual date that the satellite acquired the ground data.

  1. How should this data set be cited?

    Illinois Department of Natural Resources (IDNR), Illinois Natural History Survey (INHS), and Illinois State Geological Survey (ISGS), 20030930, Illinois Department of Natural Resources, Illinois Natural History Survey, Illinois State Geological Survey, Illinois Department of Agriculture, United States Department of Agriculture National Agricultural Statistics Service's 1:100 000 Scale Land Cover of Illinois 1999-2000, Raster Digital Data, Version 2.0, September 2003.: Illinois Department of Natural Resources , Illinois Natural History Survey, Illinois State Geological Survey, Champaign, Illinois.

    Online Links:

  2. What geographic area does the data set cover?

    West_Bounding_Coordinate: -91.708016
    East_Bounding_Coordinate: -87.356331
    North_Bounding_Coordinate: 42.635013
    South_Bounding_Coordinate: 36.842287

  3. What does it look like?

  4. Does the data set describe conditions during a particular time period?

    Beginning_Date: 1999
    Ending_Date: 2000
    Currentness_Reference: ground condition

  5. What is the general form of this data set?

    Geospatial_Data_Presentation_Form: raster digital data

  6. How does the data set represent geographic features?

    1. How are geographic features stored in the data set?

      This is a Raster data set. It contains the following raster data types:

      • Dimensions 21140 x 11830 x 1, type Grid Cell

    2. What coordinate system is used to represent geographic features?

      Grid_Coordinate_System_Name: Universal Transverse Mercator
      Universal_Transverse_Mercator:
      UTM_Zone_Number: 16
      Transverse_Mercator:
      Scale_Factor_at_Central_Meridian: 0.999600
      Longitude_of_Central_Meridian: -87.000000
      Latitude_of_Projection_Origin: 0.000000
      False_Easting: 500000.000000
      False_Northing: 0.000000

      Planar coordinates are encoded using row and column
      Abscissae (x-coordinates) are specified to the nearest 30.000000
      Ordinates (y-coordinates) are specified to the nearest 30.000000
      Planar coordinates are specified in meters

      The horizontal datum used is North American Datum of 1983.
      The ellipsoid used is Geodetic Reference System 80.
      The semi-major axis of the ellipsoid used is 6378137.000000.
      The flattening of the ellipsoid used is 1/298.257222.

  7. How does the data set describe geographic features?

    Entity_and_Attribute_Detail_Citation:
    For classification values refer to <http://www.agr.state.il.us/gis/landcover99-00.html#class>. An on-line link is provided in the Citation listed under Identification Information.

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)

  2. Who also contributed to the data set?

    Brooke Bahnsen, Linda Schwab, Tari Tweddale, Illinois Natural History Survey, Champaign, Illinois Christopher Goldsmith, Donald Luman, and Christopher Stohr, Illinois State Geological Survey, Champaign, Illinois Jay D. Davis, Department of Agricultural Engineering, University of Illinois, Champaign, Illinois Patrick Willis, National Agriculture Statistics Service, Springfield, Illinois Illinois Department of Agriculture staff, Springfield, Illinois

  3. To whom should users address questions about the data?

    Donald Luman
    Illinois State Geological Survey
    615 East Peabody Drive
    Urbana, Ilinois 61801
    USA

    217-244-2179 (voice)
    dluman@isgs.uiuc.edu

Why was the data set created?

This database was completed as an integral part of the Illinois Interagency Landscape Classification Project. The purpose of this inventory is to provide a statewide characterization of land cover for Illinois. These data are intended for geographic display and analysis at the state level. The land cover data layer is provided "as is". IDNR/INHS/ISGS does not warrant results you may obtain using the data.

How was the data set created?

  1. From what previous works were the data drawn?

    (source 1 of 17)
    5, Landsat, 20001001, LANDSAT TM Path 22, Row 32: Sioux Falls, South Dakota, USA, USGS EROS Data Center.

    Other_Citation_Details:
    LANDSAT TM Path 22, Row 32. 30 meter by 30 meter pixel resolution, EOSAT Fast Format.

    Additional information about Landsat 5 and Landsat 7 satellite imagery can be obtained from the United States Geological Survey (USGS) EROS Data Center.

    Type_of_Source_Media: CD-ROM
    Source_Scale_Denominator: 100,000
    Source_Contribution: Raw data used in land cover spectral signature analysis.

    (source 2 of 17)
    7, Landsat, 20001001, LANDSAT TM Path 22, Row 32: USGS EROS Data Center, Sioux Falls, South Dakota, USA.

    Other_Citation_Details:
    LANDSAT TM Path 22, Row 32. 30 meter by 30 meter pixel resolution, EOSAT Fast Format.

    Additional information about Landsat 5 and Landsat 7 satellite imagery can be obtained from the United States Geological Survey (USGS) EROS Data Center.

    Type_of_Source_Media: CD-ROM
    Source_Scale_Denominator: 100,000
    Source_Contribution: Raw data used in land cover spectral signature analysis.

    (source 3 of 17)
    5, Landsat, 19991001, LANDSAT TM Path 22, Row 33: Space Imaging EOSAT, Thornton, Colorado, USA.

    Other_Citation_Details:
    LANDSAT TM Path 22, Row 33. 30 meter by 30 meter pixel resolution, EOSAT Fast Format.

    Additional information about Landsat 5 and Landsat 7 satellite imagery can be obtained from the United States Geological Survey (USGS) EROS Data Center.

    Type_of_Source_Media: CD-ROM
    Source_Scale_Denominator: 100,000
    Source_Contribution: Raw data used in land cover spectral signature analysis.

    (source 4 of 17)
    7, Landsat, 19991001, LANDSAT TM Path 22, Row 33: USGS EROS Data Center, Sioux Falls, South Dakota, USA.

    Other_Citation_Details:
    LANDSAT TM Path 22, Row 33. 30 meter by 30 meter pixel resolution, EOSAT Fast Format.

    Additional information about Landsat 5 and Landsat 7 satellite imagery can be obtained from the United States Geological Survey (USGS) EROS Data Center.

    Type_of_Source_Media: CD-ROM
    Source_Scale_Denominator: 100,000
    Source_Contribution: Raw data used in land cover spectral signature analysis.

    (source 5 of 17)
    7, Landsat, 20001001, LANDSAT TM Path 22 Row 34: USGS EROS Data Center, Sioux Falls, South Dakota, USA.

    Other_Citation_Details:
    LANDSAT TM Path 22, Row 34. 30 meter by 30 meter pixel resolution, EOSAT Fast Format.

    Additional information about Landsat 5 and Landsat 7 satellite imagery can be obtained from the United States Geological Survey (USGS) EROS Data Center.

    Type_of_Source_Media: CD-ROM
    Source_Scale_Denominator: 100,000
    Source_Contribution: Raw data used in land cover spectral signature analysis.

    (source 6 of 17)
    5, Landsat, 19991001, LANDSAT TM Path 23, Row 31: Space Imaging EOSAT, Thornton, Colorado, USA.

    Other_Citation_Details:
    LANDSAT TM Path 23, Row 31. 30 meter by 30 meter pixel resolution, EOSAT Fast Format.

    Additional information about Landsat 5 and Landsat 7 satellite imagery can be obtained from the United States Geological Survey (USGS) EROS Data Center.

    Type_of_Source_Media: CD-ROM
    Source_Scale_Denominator: 100,000
    Source_Contribution: Raw data used in land cover spectral signature analysis.

    (source 7 of 17)
    7, Landsat, 19991001, LANDSAT TM Path 23, Row 31: USGS EROS Data Center, Sioux Falls, South Dakota, USA.

    Other_Citation_Details:
    LANDSAT TM Path 23, Row 31. 30 meter by 30 meter pixel resolution, EOSAT Fast Format.

    Additional information about Landsat 5 and Landsat 7 satellite imagery can be obtained from the United States Geological Survey (USGS) EROS Data Center.

    Type_of_Source_Media: CD-ROM
    Source_Scale_Denominator: 100,000
    Source_Contribution: Raw data used in land cover spectral signature analysis.

    (source 8 of 17)
    5, Landsat, 20001001, LANDSAT TM Path 23, Rows 32, 33 and 34: Space Imaging EOSAT, Thornton, Colorado, USA.

    Other_Citation_Details:
    LANDSAT TM Path 23, Rows 32, 33, and 34. 30 meter by 30 meter pixel resolution, EOSAT Fast Format.

    Additional information about Landsat 5 and Landsat 7 satellite imagery can be obtained from the United States Geological Survey (USGS) EROS Data Center.

    Type_of_Source_Media: CD-ROM
    Source_Scale_Denominator: 100,000
    Source_Contribution: Raw data used in land cover spectral signature analysis.

    (source 9 of 17)
    7, Landsat, 20001001, LANDSAT TM Path 23, Rows 32, 33 and 34: USGS EROS Data Center, Sioux Falls, South Dakota, USA.

    Other_Citation_Details:
    LANDSAT TM Path 23, Rows 32, 33 and 34. 30 meter by 30 meter pixel resolution, EOSAT Fast Format.

    Additional information about Landsat 5 and Landsat 7 satellite imagery can be obtained from the United States Geological Survey (USGS) EROS Data Center.

    Type_of_Source_Media: CD-ROM
    Source_Scale_Denominator: 100,000
    Source_Contribution: Raw data used in land cover spectral signature analysis.

    (source 10 of 17)
    5, Landsat, 19991001, LANDSAT TM Path 24, Row 31: Space Imaging EOSAT, Thornton, Colorado, USA.

    Other_Citation_Details:
    LANDSAT TM Path 24, Row 31. 30 meter by 30 meter pixel resolution, EOSAT Fast Format.

    Additional information about Landsat 5 and Landsat 7 satellite imagery can be obtained from the United States Geological Survey (USGS) EROS Data Center.

    Type_of_Source_Media: CD-ROM
    Source_Scale_Denominator: 100,000
    Source_Contribution: Raw data used in land cover spectral signature analysis.

    (source 11 of 17)
    5, Landsat, 19991001, LANDSAT TM Path 24, Rows 31 and 32: Space Imaging EOSAT, Thornton, Colorado, USA.

    Other_Citation_Details:
    LANDSAT TM Path 24, Rows 31 and 32. 30 meter by 30 meter pixel resolution, EOSAT Fast Format.

    Additional information about Landsat 5 and Landsat 7 satellite imagery can be obtained from the United States Geological Survey (USGS) EROS Data Center.

    Type_of_Source_Media: CD-ROM
    Source_Scale_Denominator: 100,000
    Source_Contribution: Raw data used in land cover spectral signature analysis.

    (source 12 of 17)
    7, Landsat, 19991001, LANDSAT TM Path 24, Rows 31 and 32: Space Imaging EOSAT, Thornton, Colorado, USA.

    Other_Citation_Details:
    LANDSAT TM Path 24, Rows 31 and 32. 30 meter by 30 meter pixel resolution, EOSAT Fast Format.

    Additional information about Landsat 5 and Landsat 7 satellite imagery can be obtained from the United States Geological Survey (USGS) EROS Data Center.

    Type_of_Source_Media: CD-ROM
    Source_Scale_Denominator: 100,000
    Source_Contribution: Raw data used in land cover spectral signature analysis.

    (source 13 of 17)
    5, Landsat, 19991001, LANDSAT TM Path 24, Row 32: Space Imaging EOSAT, Thornton, Colorado, USA.

    Other_Citation_Details:
    LANDSAT TM Path 24, Row 32. 30 meter by 30 meter pixel resolution, EOSAT Fast Format.

    Additional information about Landsat 5 and Landsat 7 satellite imagery can be obtained from the United States Geological Survey (USGS) EROS Data Center.

    Type_of_Source_Media: CD-ROM
    Source_Scale_Denominator: 100,000
    Source_Contribution: Raw data used in land cover spectral signature analysis.

    (source 14 of 17)
    5, Landsat, 20001001, LANDSAT TM Path 24, Row 33: Space Imaging EOSAT, Thornton, Colorado, USA.

    Other_Citation_Details:
    LANDSAT TM Path 24, Row 33. 30 meter by 30 meter pixel resolution, EOSAT Fast Format.

    Additional information about Landsat 5 and Landsat 7 satellite imagery can be obtained from the United States Geological Survey (USGS) EROS Data Center.

    Type_of_Source_Media: CD-ROM
    Source_Scale_Denominator: 100,000
    Source_Contribution: Raw data used in land cover spectral signature analysis.

    (source 15 of 17)
    7, Landsat, 20001001, LANDSAT TM Path 24, Row 33: Space Imaging EOSAT, Thornton, Colorado, USA.

    Other_Citation_Details:
    LANDSAT TM Path 24, Row 33. 30 meter by 30 meter pixel resolution, EOSAT Fast Format.

    Additional information about Landsat 5 and Landsat 7 satellite imagery can be obtained from the United States Geological Survey (USGS) EROS Data Center.

    Type_of_Source_Media: CD-ROM
    Source_Scale_Denominator: 100,000
    Source_Contribution: Raw data used in land cover spectral signature analysis.

    (source 16 of 17)
    National Aerial Photography Program (NAPP), variable, NAPP aerial photographs: Aerial Photography Field Office (AFPO), Salt Lake City, Utah, USA.

    Other_Citation_Details:
    Additional information about NAPP can be obtained from the following internet site: <http://edc.usgs.gov/glis/hyper/guide/napp>
    Type_of_Source_Media: paper
    Source_Scale_Denominator: 8000
    Source_Contribution: Spatial and attribute information.

    (source 17 of 17)
    Illinois Department of Conservation, 19781100, Illinois Natural Areas Inventory Technical Report: Springfield, Illinois, Illinois Department of Conservation.

    Other_Citation_Details:
    Appendix 30. pp. 310-405. Classification of Natural Communities in Illinois. John White and Michael H. Madany.
    Type_of_Source_Media: paper; text
    Source_Contribution: Attribute information.

  2. How were the data generated, processed, and modified?

    (process 1 of 7)
    Ten Landsat TM/ETM+ scenes which cover the state of Illinois were ordered with three dates of each scene. The three dates of each scene from spring-summer-fall were layer stacked to make one image composed of 18 bands. The satellite imagery for four of the TM scene areas was acquired in 1999, and the remaining six scene areas were acquired in 2000.

    (process 2 of 7)
    All of the TM/ETM+ satellite imagery were geometrically corrected and co-registered to a transverse Mercator projection with a UTM zone 16 grid and NAD83 datum. The 1999 TM/ETM+ imagery is a mixture of simple geometric correction and terrain correction, while all of the 2000 imagery was terrain corrected using USGS 3 arc-second digital elevation model (DEM) data to correct relief displacement.

    (process 3 of 7)
    250 spectral classes were derived using an unsupervised classification. The labeling and reduction of the spectral classes from the unsupervised classification procedures into the final information classes (water, wetland, etc.) was accomplished by photo-interpretation of NAPP 3 aerial photography.

    (process 4 of 7)
    The supervised classification of agricultural lands, which used USDA-NASS ground reference data as training data collected the same year for 425 sites across the state, directly resulted in information classes and therefore no additional class labeling was necessary.

    (process 5 of 7)
    After class labeling was finished, forests were made into a raster mask. These masks pulled the 18 band raw data from each of the ten scenes. Slope Aspect Index (SAI) of the Digital Elevation Model (DEM) was added to the raw data within the forested areas to make 19 bands. The SAI was used to distinguish between upland and floodplain forests.

    (process 6 of 7)
    Masks were made of the wetlands areas. The wetland delineation was accomplished through a combination of unsupervised classification of same year, spring-summer-fall Landsat TM/ETM+ imagery and photo-interpretation of 1998-1999 U.S. Geological Survey (USGS) National Aerial Photography Program (NAPP 3) photographic prints.

    (process 7 of 7)
    Upon completion of the integrated classifications for each of the ten TM Path/Row scene areas, a seamless mosaic was created using image processing software developed by the USDA-NASS. Careful attention was made to develop the mosaic along county boundaries to ensure that the land cover information within each county area was derived from the same Landsat TM/ETM+ triplicate. Non-Agricultural classes were derived from an unsupervised classification and visual interpretation by analysts was made to determine categories.

  3. What similar or related data should the user be aware of?

How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?

    Overall accuracy is estimated between 75% to 82%. Classification accuracy is 94.3% correct for agricultural-related land cover categories, which comprises 76% of the state. Additional information and complete accuracy assessment matrix can be found at: <http://www.inhs.uiuc.edu/cwe/gap/>

    Land cover codes have been reviewed by INHS, IDNR, and NASS experts and are believed to be "good" at the time of satellite over flight.

    Agricultural land cover names were conceived by the National Agriculture Statistics Service.

    For a complete list of attributes, see the Data Dictionary located in the Entity and Attribute Information section of this metadata.

  2. How accurate are the geographic locations?

    The categorized images are co-registered to EarthSat Inc's ortho-rectified GeoCover Stock Mosaic images using automated block correlation techniques. The block correlation is run against band two of each original raw satellite image and band two of the GeoCover Stock Mosaic. The resulting correlations are applied to each categorized image, and then added to a master image or mosaic using PEDITOR. The EarthSat images were chosen as they provide the best available large area ortho-rectified images as a basis to register large volume Landsat images.

  3. How accurate are the heights or depths?

  4. Where are the gaps in the data? What is missing?

    All cells within the Illinois state boundary have an attributed cover type

  5. How consistent are the relationships among the observations, including topology?

    The accuracy of the agricultural land cover classifications are evaluated using the extensive training data collected in the annual NASS June Agricultural Survey (JAS). The accuracy of the non-agricultural land cover classifications, except forests, are evaluated using a stratified random sample of points and interpreted through aerial photographs. The accuracy of the forest land cover classifications are evaluated using point locations from the INHS Critical Trends Assessment Project (CTAP) and USDA Forest Inventory Analysis (FIA) Program.

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?

Access_Constraints: None
Use_Constraints:
These data are not to be used for commercial profit and are not to be used at scales greater than 1:100,000.

Reproduction or redistribution of copyrighted digital data sets or products derived there from outside of licensees' organization or entity is expressly forbidden. The only exception is redistribution to consultants working for the licensee, and then only for purposes, related to work for the licensee. Such consultants may not further reproduce or redistribute these data sets. None of these data shall be electronically duplicated on magnetic or optical media for use by others, in whole or in part, without permission of the appropriate custodial division of Illinois Department of Natural Resources (IDNR), Illinois Natural History Survey (INHS), or the Illinois State Geological Survey (ISGS).

Any hardcopies utilizing IDNR/INHS/ISGS data sets shall clearly indicate their source. The following source citation must be included: "Source: Illinois Department of Natural Resources, Illinois Natural History Survey, Illinois State Geological Survey, Illinois Department of Agriculture, United States Department of Agriculture National Agricultural Statistics Service's 1:100 000 Scale Land Cover of Illinois 1999-2000, Raster Digital Data, Version 2.0, September 2003."

If the licensee has modified the data in any way they are obligated to describe the types of modifications they have performed on the hardcopy map. Licensee specifically agrees not to misrepresent INHS/ISGS/IDNR data sets, nor to imply that changes they made were approved by Illinois Natural History Survey, Illinois State Geological Survey, or the Illinois Department of Natural Resources.

These data are not to be used for commercial profit.

  1. Who distributes the data set? (Distributor 1 of 2)

    Donald Luman
    Illinois State Geological Survey
    615 East Peabody Drive
    Champaign, Illinois 61820
    USA

    217-244-2179 (voice)
    dluman@isgs.uiuc.edu

    Hours_of_Service: 0800-1700 Central Standard Time
    Contact_Instructions: email, phone, or mail
  2. What's the catalog number I need to order this data set?

    live data downloadable data

  3. What legal disclaimers am I supposed to read?

    Although these data have been processed successfully on a computer system at the U.S.Geological Survey, no warrenty expressed or implied is made regarding the accuracy or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warrenty. This disclaimer applies both to individual use of the data and aggregate use with other data. It is strongly recommended that these data re directly acquited from a U.S. Geological Survey server, and not indirecly through other sources which may have changed the data in some way. It is also strongly recommended that careful attention be paid to the contents of the metadata file associated with these data. The U.S. Geoligogical Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein.

  4. How can I download or order the data?

  1. Who distributes the data set? (Distributor 2 of 2)

    Tari Tweddale
    Illinois Natural History Survey
    GIS/Remote Sensing Specialist
    607 East Peabody Drive
    Champaign, Illinois 61820
    USA

    217-265-0583 (voice)
    217-265-0374 (FAX)
    tweicher@uiuc.edu

    Hours_of_Service: 0800-1700 Central Standard Time
    Contact_Instructions: email, phone, fax, or mail
  2. What's the catalog number I need to order this data set?

    Downloadable Data

  3. What legal disclaimers am I supposed to read?

    Although these data have been processed successfully on a computer system at the U.S.Geological Survey, no warrenty expressed or implied is made regarding the accuracy or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warrenty. This disclaimer applies both to individual use of the data and aggregate use with other data. It is strongly recommended that these data re directly acquited from a U.S. Geological Survey server, and not indirecly through other sources which may have changed the data in some way. It is also strongly recommended that careful attention be paid to the contents of the metadata file associated with these data. The U.S. Geoligogical Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein.

  4. How can I download or order the data?

Who wrote the metadata?

Dates:
Last modified: 09-Jan-2004
Metadata author:
Tari Tweddale
Illinois Natural History Survey
607 East Peabody Drive
Champaign, Illinois 61820

217-265-0583 (voice)
217-265-0374 (FAX)
tweicher@uiuc.edu

Metadata standard:
FGDC Content Standards for Digital Geospatial Metadata (FGDC-STD-001-1998)

Illinois Natural Resources Geospatial Data Clearinghouse

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