Illinois State Geological Survey (ISGS), a division of the Prairie Research Institute of the University of Illinois Unpublished Material raster digital data http://www.isgs.illinois.edu Recommended Publishing Citation:Illinois Height Modernization Program, Illinois State Geological Survey, and Illinois Department of Transportation, 2002–2014, Illinois LiDAR county database: Illinois State Geological Survey http://crystal.isgs.uiuc.edu/nsdihome/webdocs/ilhmp/ (accessed September 18, 2014) This Digital Terrain Model (DTM) data was produced all or in part from LiDAR information as of 2011. The LiDAR derived DTM cover Shelby County, Illinois and include inland streams, rivers, lakes ponds and tidal features. These data are appropriate for use in local and regional analysis. This data set has a vertical accuracy of 7.5 centimeters RMSEz, horizontal accuracy of 0.3 meters and point spacing of 1.0 meters. Digital Elevation Models (including terrain and surface models) are raster data sets created from whole LiDAR point cloud data sets (LAS files). The LAS files are the standard LiDAR file format which contains the raw point cloud data, these data are normally classified and distinguished between points on the ground, water or elevated features such as buildings, trees, towers, bridges, etc.. These LAS files are processed into elevation models to create gridded rasters. The first returns can be used to map the top reflective surface (Digital Surface Models - DSM), these normally include open terrain areas, as well as the tops of buildings, trees, towers, and other features elevated above the bare earth. The last returns are used to map the bare-earth terrain (Digital Terrain Models - DTM), these are normally produced with irregularly-spaced points rather than the uniform grid structure of a Digital Elevation Model (DEM), Digital Terrain Models will often include breaklines to help define edges of water bodies. These acquisitions of the LiDAR data and its derivatives were made possible by a grant from the National Geodetic Survey for the National Height Modernization Program. The program is in place to enable states access to accurate, reliable heights using global positioning satellite (GPS) technology in conjunction with traditional leveling, gravity, and modern remote sensing technologies. LiDAR data and its derivatives assist in real-world uses around the state of Illinois such as; highway engineering, flood prediction, agricultural land management, mining subsidence, monitoring archaeological features, locating sinkholes and applied geologic science. none 20110301 unknown unknown 20110401 ground condition Complete Unknown -89.143 -88.465 39.656 39.211 None Light Detection and Ranging LiDAR Bare Earth Point Cloud Digital Terrain Model DTM None US Illinois Department of Transportation Illinois Shelby County None 2011 ISGS information must be obtained directly from the ISGS or from an authorized distributor. Be aware that ISGS information obtained from an unauthorized third party may have been altered subsequent to original distribution, or may no longer be current. Any access to these data, Web sites, computer systems, electronic services, and electronic networks is governed by University and campus policies, in particular, but not limited to, the Policy on Appropriate Use of Computers and Network Systems at the University of Illinois at Urbana-Champaign, the ISGS Terms of Use document available at the ISGS Web site, and the University of Illinois Web Privacy Notice. Links to these are provided in the Cross References section. ISGS information is the property of and copyrighted by the Board of Trustees of the University of Illinois with all rights reserved. University copyright policy is stated in the General Rules Concerning University Organization and Procedure, Article III, Section 4. A link is provided in the Cross References section. Individuals or entities may make fair use of copyrighted ISGS material, such as reproducing a single figure or table, or using a brief text quotation, without obtaining formal permission, but in all cases the Illinois State Geological Survey must be credited as the source of the material. To reproduce ISGS information beyond the fair use standard, permission must be obtained from the ISGS Information Office, 615 East Peabody Drive, Champaign, Illinois 61820, 217-333-4747, isgs@isgs.illinois.edu. License fees and a license agreement may be required, depending on the proposed usage. Any use of these data is governed by University and campus policies, in particular, but not limited to, the Policy on Appropriate Use of Computers and Network Systems at the University of Illinois at Urbana-Champaign, the ISGS Terms of Use document available at the ISGS Web site, and the University of Illinois Web Privacy Notice. Links to these are provided in the Cross References section. Map information is to be used at a scientifically and cartographically appropriate scale, that is, at a scale no greater than indicated on the map or as described in the documentation of the map or map data. Map information is not appropriate for, and is not to be used as, a geodetic, legal, or engineering base. Map information has no legal basis in the definition of boundaries or property lines and is not intended as a substitute for surveyed locations such as can be determined by a registered Public Land Surveyor. The data do not replace the need for detailed site-specific studies. AeroMetric, Inc, Illinois State Geological Survey, Illinois Department of Transportation Illinois State Geological Survey (ISGS), a division of the Prairie Research Institute of the University of Illinois mailing and physical address

615 E. Peabody

Champaign IL 61820 USA 217-333-4747 info@isgs.illinois.edu Monday thru Friday, 8am - 5pm 217-785-0211 http://www.cam.illinois.edu/viii/VIII-1.1.htm http://www.isgs.illinois.edu http://www.vpaa.uillinois.edu/policies/web_privacy.cfm http://www.uillinois.edu/trustees/rules.cfm#sec34 The Fundamental Vertical Accuracy (FVA) of the Classified Bare Earth files achieved is 0.467 feet at a 95% confidence level with an RMSE of 0.238 feet. Four hundred thirty-three (433) 'open terrain' or hard surface survey control points were used in this evaluation. The Supplemental Vertical Accuracy (SVA) results Hard Surface achieved 0.447 feet at the 95th Percentile, SVA checkpoints were assessed and reported against the derived TIN. The Supplemental Vertical Accuracy (SVA) results Short Grass achieved 0.341 feet at the 95th Percentile, SVA checkpoints were assessed and reported against the derived TIN. The Supplemental Vertical Accuracy (SVA) results Tall Grass achieved 0.711 feet at the 95th Percentile, SVA checkpoints were assessed and reported against the derived TIN. The Supplemental Vertical Accuracy (SVA) results Brush achieved 0.604 feet at the 95th Percentile, SVA checkpoints were assessed and reported against the derived TIN. The Supplemental Vertical Accuracy (SVA) results Trees achieved 0.493 feet at the 95th Percentile, SVA checkpoints were assessed and reported against the derived TIN. The Consolidated Vertical Accuracy (CVA) results for all Land Cover Classes combined achieved 0.469 feet at the 95th Percentile, CVA checkpoints were assessed and reported against the derived TIN surface models. Refer also to the Disclaimer of Warranties and Accuracy of Data section of the Legal Notices of Terms and Conditions section of the University of Illinois Web Privacy Policy. A link is provided in the Cross References section. All data have had QAQC visual and statistical testing using observations performed to compare the derivative products (breaklines, classified LAS, DEM and DSM/DTM) as well as aerial photography to check for the logical consistency of the data. Complete All data collected with the Optech Gemini, were acquired at or below 1600 meters above mean terrain (AMT) and have a horizontal accuracy of 0.30 meters (per manufacturers system specifications), with a nominal point spacing of 1.0 meters. 0.3 meters The Fundamental Vertical Accuracy (FVA) of the Classified Bare Earth files achieved is 0.467 feet at a 95% confidence level with an RMSE of 0.238 feet. Four hundred thirty-three (433) 'open terrain' or hard surface survey control points were used in this evaluation. The Supplemental Vertical Accuracy (SVA) results Hard Surface achieved 0.447 feet at the 95th Percentile, SVA checkpoints were assessed and reported against the derived TIN. The Supplemental Vertical Accuracy (SVA) results Short Grass achieved 0.341 feet at the 95th Percentile, SVA checkpoints were assessed and reported against the derived TIN. The Supplemental Vertical Accuracy (SVA) results Tall Grass achieved 0.711 feet at the 95th Percentile, SVA checkpoints were assessed and reported against the derived TIN. The Supplemental Vertical Accuracy (SVA) results Brush achieved 0.604 feet at the 95th Percentile, SVA checkpoints were assessed and reported against the derived TIN. The Supplemental Vertical Accuracy (SVA) results Trees achieved 0.493 feet at the 95th Percentile, SVA checkpoints were assessed and reported against the derived TIN. The Consolidated Vertical Accuracy (CVA) results for all Land Cover Classes combined achieved 0.469 feet at the 95th Percentile, CVA checkpoints were assessed and reported against the derived TIN surface models. 7.5 cm RMSEz The LiDAR data was captured using AeroMetric's twin-engine aircraft, equipped with LiDAR systems. The LiDAR system includes a differential GPS unit and inertial measurement system to provide superior accuracy. Acquisition parameters: 1. Flight Height - 1600 meters above mean terrain (AMT) 2. Swath Width - 40 degrees 3. Sidelap - 50% 4. Nominal Post Spacing - 1.0 meters GPS and IMU processing parameters: 1. Maximum baseline length - Not greater than 100 kilometers. 2. Number of base stations during LiDAR collection - A minimum of 1. 3. Maximum positional RMS of trajectory during LiDAR collection - 0.10 meters 4. IMU processing monitored for consistency and smoothness - Yes. Point Cloud Processing: 1. Horizontal Datum - North American_1983/HARN 2. Horizontal Coordinates - NAD_1983_HARN_StatePlane_Illinois_East_FIPS_1201_Feet. 3. Vertical Datum - North American Vertical Datum of 1988 4. Geoid Model used to reduce satellite derived elevations to orthometric heights - NGS Geoid09. LiDAR Processing: 1. Point Cloud data is imported to TerraScan in a Microstation V8 (V) CAD environment on a specified 2000 feet by 2000 feet tiling scheme. 2. Analyze the data for overall completeness and consistency. This is to ensure that there are no voids in the data collection. 3. Inspect for calibration errors in the dataset using the TerraMatch software by sampling the data collected across all flight lines and classifing the individual lines to ground. The software will use the ground-classified lines to compute corrections (Heading, Pitch, Roll, and Scale). 4. Orientation corrections (i.e. Calibration corrections) are then applied (if needed) to the entire dataset. 5. Automatic ground classification is performed using algorithms with customized parameters to best fit the project area. Several areas of varying relief and planimetric features were inspected to verify the final ground surface. 6. AeroMetric, Inc. provided Quality Assurance and Quality Control (QA/QC) data for this project. AeroMetric captured QA/QC points in 'open terrain' land cover category that were used to test the accuracy of the LiDAR ground surface. TerraScan's Output Control Report (OCR) was used to compare the QA/QC data to the LiDAR data. This routine searches the LiDAR dataset by X and Y coordinates finding the closest LiDAR point and comparing the vertical (Z) values to the known data collected in the field. Based on the QA/QC data, a bias adjustment was determined, and the results were applied (if necessary) to the LiDAR data. 7. After the LiDAR data is finalized for vertical placement, a macro is run via TerraScan to output a dataset generated on a per swath basis as part of the final deliverables. All points of the swath are reclassified to class 0 during this step. 8. Each tile is reviewed for accuracy and consistency of the macro ground classification. During this phase, MicroStation is used to generate line work representing water bodies and rivers. Separate line work is also placed in instances where overpasses have blocked enough valid ground returns or water gave too few ground returns to reasonably portray the ground surface. A proprietary in-house software program is then run to drape the river line work in a flowing fashion. Contours are generated on the river breaklines to review monotonicity of the draped line work. 9. Once the automatic processing and the testing of LiDAR is complete, AeroMetric meticulously reviews the generated bare-earth surface data to ensure that proper classification was achieved as part of a Quality Control process. 10. Final deliverables are generated and output to a client specified 2000 feet by 2000 feet tiling scheme. 11. On a per tile basis, data files and Triangulated Integrated Network (TIN) files are generated by processing the finalized line work along with bare earth LiDAR points though a Geopak marco. Subsequent files are reviewed for adherence and completeness to the data and tile layout used during the creation process. ISGS Secondary Processing: 1. Thorough QAQC check was completed to ensure and evaluate the quality of the data delivered and that all the specifications have been met in accordance to the contract and national specifications set for LiDAR data. 2. Through ArcGIS 10.1 the following steps were completed to created Terrain and hillshade products: a. LAS to Mulitpoint conversion using 3D analyst tools.ASPRS Classifications were used below: Class 1: unclassified Class 2: ground Class 7: noise Class 9: water Class 10: proximity to breaklines b. Terrains are then created and pyramids are calculated. c. Terrain to Raster tool was used in 3D Analyst. The parameters of data type float, natural neighbors method, sampling distance is cell size and the point spaceing value from the LiDAR data. d. Hillshades are created from the above rasters with a Z value of 2. 3. These derivatives were checked again visually for errors. If any errors were perceived corrections were coordinated with vendor and products were updated with corrections. 4. When product was finalized then metadata was completed before making data available. 20130301 Unknown Raster State Plane Coordinate System 1202 Illinois State Plane West .999941176 -90.16666667 36.6666667 2296583.333 0 coordinate pair 0.001 0.001 survey feet North American Datum of 1983 Geodetic Reference System 80 0.0,6378137.000000 298.257222101 NAD 1983 StatePlane Illinois East 1201 (US Feet) North American Vertical Datum of 1988 0.01 survey feet Explicit elevation coordinate included with horizontal coordinates 20140925 Illinois State Geological Survey (ISGS), a division of the Prairie Research Institute of the University of Illinois mailing and physical address

615 East Peabody Drive

Champaign IL 61820 US 217-333-4747 isgs@isgs.illinois.edu Monday through Friday 8:00 AM to 5:00 PM (Central Time) FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 The access constraints as stated for the data apply also to the metadata. Refer to the Access Constraints section of the Identification Information section. The use constraints as stated for the data apply also to the metadata. Refer to the Use Constraints section of the Identification Information section. 20130408 13155400 FGDC CSDGM Metadata TRUE file://\\TERRAIN\derivatives\workarea2\Crawford_County_IDOT_District_7_Final_Derivatives\ISGS_MetadataLidarGridTemplate Local Area Network 150000000 5000 1.0 FGDC Illinois State Geological Survey (ISGS), a division of the Prairie Research Institute of the University of Illinois mailing and physical address

615 East Peabody Drive

Champaign IL 61820 USA 217-244-2414 isgs@isgs.illinois.edu Refer to the Legal Notices of Terms and Conditions of the University of Illinois Web Privacy Policy (there is a link in the Cross References section) for policy statements regarding the following: Disclaimer of Liability Disclaimer of Warranties and Accuracy of Data Disclaimer of Endorsement Disclaimer for External Links Disclaimer of Duty to Continue Provision of Data Security Choice of Law By obtaining these data you agree to the provisions of the University of Illinois Web Privacy Policy, regardless of the manner in which the information was obtained. other no compression applied http://www.isgs.uiuc.edu/nsdihome/webdocs/ilhmp/ http://www.isgs.uiuc.edu/nsdihome/webdocs/ilhmp/ Windows 7 CD-ROM none no fees The data are intended for use with GIS software. The ISGS uses ESRI ArcGIS software, however, ESRI formats can be imported into many different GIS software packages. It is expected that customers who obtain these data have the technical expertise to use GIS software. The ISGS does not provide software support of any kind. GRID Raster ISGS Raster Grid Values Raster Grid Values ISGS These acquisitions of the LiDAR data and its derivatives were made possible by a grant from the National Geodetic Survey for the National Height Modernization Program. The program is in place to enable states access to accurate, reliable heights using global positioning satellite (GPS) technology in conjunction with traditional leveling, gravity, and modern remote sensing technologies. LiDAR data and its derivatives assist in real-world uses around the state of Illinois such as; highway engineering, flood prediction, agricultural land management, mining subsidence, monitoring archaeological features, locating sinkholes and applied geologic science. <DIV STYLE="text-align:Left;"><DIV><P><SPAN>This Digital Terrain Model (DTM) data was produced all or in part from LiDAR information as of 2011. The LiDAR derived DTM cover Shelby County, Illinois and include inland streams, rivers, lakes ponds and tidal features. These data are appropriate for use in local and regional analysis. This data set has a vertical accuracy of 7.5 centimeters RMSEz, horizontal accuracy of 0.3 meters and point spacing of 1.0 meters. Digital Elevation Models (including terrain and surface models) are raster data sets created from whole LiDAR point cloud data sets (LAS files). The LAS files are the standard LiDAR file format which contains the raw point cloud data, these data are normally classified and distinguished between points on the ground, water or elevated features such as buildings, trees, towers, bridges, etc.. These LAS files are processed into elevation models to create gridded rasters. The first returns can be used to map the top reflective surface (Digital Surface Models - DSM), these normally include open terrain areas, as well as the tops of buildings, trees, towers, and other features elevated above the bare earth. The last returns are used to map the bare-earth terrain (Digital Terrain Models - DTM), these are normally produced with irregularly-spaced points rather than the uniform grid structure of a Digital Elevation Model (DEM), Digital Terrain Models will often include breaklines to help define edges of water bodies.</SPAN></P></DIV></DIV> AeroMetric, Inc, Illinois State Geological Survey, Illinois Department of Transportation IL_Shelby_DTM_2011 Recommended Publishing Citation: Illinois Height Modernization Program, Illinois State Geological Survey, and Illinois Department of Transportation, 2002–2016, Illinois Height Modernization Program (ILHMP): LiDAR data: Illinois State Geological Survey http://clearinghouse.isgs.illinois.edu/ (accessed March 30, 2016) Light Detection and Ranging LiDAR Bare Earth Point Cloud Digital Terrain Model DTM <DIV STYLE="text-align:Left;"><DIV><P><SPAN>ISGS information is the property of and copyrighted by the Board of Trustees of the University of Illinois with all rights reserved. University copyright policy is stated in the General Rules Concerning University Organization and Procedure, Article III, Section 4. A link is provided in the Cross References section. Individuals or entities may make fair use of copyrighted ISGS material, such as reproducing a single figure or table, or using a brief text quotation, without obtaining formal permission, but in all cases the Illinois State Geological Survey must be credited as the source of the material. To reproduce ISGS information beyond the fair use standard, permission must be obtained from the ISGS Information Office, 615 East Peabody Drive, Champaign, Illinois 61820, 217-333-4747, isgs@isgs.illinois.edu. License fees and a license agreement may be required, depending on the proposed usage. Any use of these data is governed by University and campus policies, in particular, but not limited to, the Policy on Appropriate Use of Computers and Network Systems at the University of Illinois at Urbana-Champaign, the ISGS Terms of Use document available at the ISGS Web site, and the University of Illinois Web Privacy Notice. Links to these are provided in the Cross References section. Map information is to be used at a scientifically and cartographically appropriate scale, that is, at a scale no greater than indicated on the map or as described in the documentation of the map or map data. Map information is not appropriate for, and is not to be used as, a geodetic, legal, or engineering base. Map information has no legal basis in the definition of boundaries or property lines and is not intended as a substitute for surveyed locations such as can be determined by a registered Public Land Surveyor. The data do not replace the need for detailed site-specific studies.</SPAN></P></DIV></DIV> /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCAI1BJkDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9U6KK 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