Illinois Department of Natural Resources (IDNR) Illinois Natural History Survey (INHS) Illinois State Geological Survey (ISGS) 20030930 Version 2.0 raster digital data Champaign, Illinois Illinois Department of Natural Resources , Illinois Natural History Survey, Illinois State Geological Survey http://www.agr.state.il.us/gis/landcover.html 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. 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. 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. 1999 2000 ground condition Complete None planned -91.708016 -87.356331 42.635013 36.842287 None land cover classification vegetation cover GAP analysis land use Landsat NVCS imageryBaseMapsEarthCover U.S. Department of Commerce, 1987, Codes for the Identification of the States, the District of Columbia and the Outlying Areas of The United States, and Associated Areas (FIPS 5-2): Washington, DC, National Institute of Standards and Technology. Illinois None 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. Donald Luman Illinois State Geological Survey mailing and physical address

615 East Peabody Drive

Urbana Ilinois 61801 USA 217-244-2179 dluman@isgs.uiuc.edu 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 Microsoft Windows 2000 Version 5.0 (Build 2195) Service Pack 4; ESRI ArcCatalog 8.2.0.700. Image processing is performed by ERDAS Imagine version 8.4 and later, 8.5 using UNIX and PC hardware. The land cover was prepared in *.img format. 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. 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. All cells within the Illinois state boundary have an attributed cover type 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. 50 meters root mean squared error overall The GeoCover Stock Mosaics are within 50 meters root mean squared error overall. See EarthSat's <http://www.geocover.com/> website for further details. Unknown Landsat 5 20001001 remote-sensing image USGS EROS Data Center Sioux Falls, South Dakota, USA 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. 100,000 CD-ROM 20000824 ground condition Raw data used in land cover spectral signature analysis. Landsat 7 20001001 Sioux Falls, South Dakota, USA USGS EROS Data Center 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. 100,000 CD-ROM 20000325 20000917 ground condition Raw data used in land cover spectral signature analysis. Landsat 5 19991001 remote-sensing image Thornton, Colorado, USA Space Imaging EOSAT 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. 100,000 CD-ROM 19990502 ground condition Raw data used in land cover spectral signature analysis. Landsat 7 19991001 remote-sensing image Sioux Falls, South Dakota, USA USGS EROS Data Center 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. 100,000 CD-ROM 19990830 19991001 ground condition Raw data used in land cover spectral signature analysis. Landsat 7 20001001 remote-sensing image Sioux Falls, South Dakota, USA USGS EROS Data Center 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. 100,000 CD-ROM 20000426 20000816 20001003 ground condition Raw data used in land cover spectral signature analysis. Landsat 5 19991001 remote-sensing image Thornton, Colorado, USA Space Imaging EOSAT 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. 100,000 CD-ROM 19990525 ground condition Raw data used in land cover spectral signature analysis. Landsat 7 19991001 remote-sensing image Sioux Falls, South Dakota, USA USGS EROS Data Center 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. 100,000 CD-ROM 19990704 19990906 ground condition Raw data used in land cover spectral signature analysis. Landsat 5 20001001 remote-sensing image Thornton, Colorado, USA Space Imaging EOSAT 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. 100,000 CD-ROM 20000425 20000831 ground condition Raw data used in land cover spectral signature analysis. Landsat 7 20001001 remote-sensing image Sioux Falls, South Dakota, USA USGS EROS Data Center 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. 100,000 CD-ROM 20001010 ground condition Raw data used in land cover spectral signature analysis. Landsat 5 19991001 remote-sensing image Thornton, Colorado, USA Space Imaging EOSAT 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. 100,000 CD-ROM 19990820 ground condition Raw data used in land cover spectral signature analysis. Landsat 5 19991001 raster digital data Thornton, Colorado, USA Space Imaging EOSAT 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. 100,000 CD-ROM 19990430 ground condition Raw data used in land cover spectral signature analysis. Landsat 7 19991001 remote-sensing image Thornton, Colorado, USA Space Imaging EOSAT 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. 100,000 CD-ROM 19990929 Raw data used in land cover spectral signature analysis. Landsat 5 19991001 remote-sensing image Thornton, Colorado, USA Space Imaging EOSAT 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. 100,000 CD-ROM 19990828 ground condition Raw data used in land cover spectral signature analysis. Landsat 5 20001001 remote-sensing image Thornton, Colorado, USA Space Imaging EOSAT 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. 100,000 CD-ROM 20000502 20000907 ground condition Raw data used in land cover spectral signature analysis. Landsat 7 20001001 remote-sensing image Thornton, Colorado, USA Space Imaging EOSAT 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. 100,000 CD-ROM 20001010 ground condition Raw data used in land cover spectral signature analysis. National Aerial Photography Program (NAPP) variable aerial photo Salt Lake City, Utah, USA Aerial Photography Field Office (AFPO) Additional information about NAPP can be obtained from the following internet site: <http://edc.usgs.gov/glis/hyper/guide/napp> 8000 paper variable Spatial and attribute information. Illinois Department of Conservation 19781100 Illinois Department of Conservation Springfield, Illinois Appendix 30. pp. 310-405. Classification of Natural Communities in Illinois. John White and Michael H. Madany. paper; text publication date Attribute information. 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. 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. 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. 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. 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. 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. 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. <=10% Raster Grid Cell 21140 11830 1 Universal Transverse Mercator 16 0.999600 -87.000000 0.000000 500000.000000 0.000000 row and column 30.000000 30.000000 meters North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 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. Donald Luman Illinois State Geological Survey mailing and physical address

615 East Peabody Drive

Champaign Illinois 61820 USA 217-244-2179 dluman@isgs.uiuc.edu 0800-1700 Central Standard Time email, phone, or mail live data downloadable data 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. ARC/INFO GRID 65.817 CD-ROM Tari Tweddale Illinois Natural History Survey GIS/Remote Sensing Specialist mailing and physical address

607 East Peabody Drive

Champaign Illinois 61820 USA 217-265-0583 217-265-0374 tweicher@uiuc.edu 0800-1700 Central Standard Time email, phone, fax, or mail Downloadable Data 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. ARC/INFO GRID 65.817 CD-ROM 20040109 Tari Tweddale Illinois Natural History Survey mailing and physical address

607 East Peabody Drive

Champaign Illinois 61820 217-265-0583 217-265-0374 tweicher@uiuc.edu FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 This metadata document is intended for public distribution. Data Dictionary: 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 1:100 000 Scale Land Cover of Illinois 1999-2000, Raster Digital Data, Version 2.0, September 2003. LCOI_99-00b.VAT: COLUMN ITEM NAME WIDTH OUTPUT TYPE N.DEC 1 VALUE 4 10 B - 5 COUNT 4 10 B - 9 RED 8 12 F 3 17 GREEN 8 12 F 3 25 BLUE 8 12 F 3 33 CLASS_NAMES 128 128 C 0 161 OPACITY 8 12 F 3 VALUE Definition: A numeric code associated with each land cover category. Definition Source: User Domain Values: Range Domain: > 0 COUNT Definition: The count of the number of 30-meter pixels in the data set that are associated with the entry in the VALUE column. Definition Source: User Domain Values: Range Domain: > 0 RED Definition: The brightness value Definition Source: ERDAS Domain Values: Range Domain: > 0 < 255 GREEN Definition: The brightness value Definition Source: ERDAS Domain Values: Range Domain: > 0 < 255 BLUE Definition: The brightness value Definition Source: ERDAS Domain Values: Range Domain: > 0 < 255 CLASS_NAMES Definition: Land cover classifications. This classification represents the LCOI_99-00 classification values and categories. The first name in capital letters is a Level 1classification, representing major land classes. The second name represents the land cover of Illinois, 99-00 inventory (a pseudo-Level 2). Definition Source: User Domain Values: Enumerated Domain:"0" = Background "11" = AGRICULTURAL LAND: Corn "12" = AGRICULTURAL LAND: Soybeans "13" = AGRICULTURAL LAND: Winter Wheat "14" = AGRICULTURAL LAND: Other Small Grains and Hay "15" = AGRICULTURAL LAND: Winter Wheat/Soybeans "16" = AGRICULTURAL LAND: Other Agriculture "17" = AGRICULTURAL LAND: Rural Grassland "21" = FORESTED LAND: Upland "25" = FORESTED LAND: Partial Canopy/Savanna Upland "26" = FORESTED LAND: Coniferous "31" = URBAN AND BUILT-UP LAND: High Density "32" = URBAN AND BUILT-UP LAND: Low/Medium Density "35" = URBAN AND BUILT-UP LAND: Urban Open Space "41" = WETLAND: Shallow Marsh/Wet Meadow "42" = WETLAND: Deep Marsh "43" = WETLAND: Seasonally/Temporarily Flooded "44" = WETLAND: Floodplain Forest "48" = WETLAND: Swamp "49" = WETLAND: Shallow Water "51" = OTHER: SURFACE WATER "52" = OTHER: BARREN AND EXPOSED LAND "53" = OTHER: Clouds "54" = OTHER: Cloud Shadows