Woolpert 20210112 Lidar point cloud Product: Processed, classified lidar point cloud data tiles in LAS 1.4 format. Geographic Extent of entire 3 county project area: Approximately 1,409 square miles in southeastern Illinois. Dataset Description: The Lidar 2020 Data Acquisition of 3 Counties in Wabash and Embarrass Basin lidar project called for the planning, acquisition, processing, and production of derivative products of QL2+ lidar data to be collected at a nominal pulse spacing (NPS) of 0.5 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 2.1. The data was developed based on a horizontal datum/projection of NAD83 (2011) State Plane Illinois East Zone Survey Feet, and a vertical datum of NAVD88 (GEOID12B) US Survey Feet. Lidar data was delivered as processed LAS 1.4 files formatted to 10,548 individual 2,000-foot x 2,000-foot tiles. Ground Conditions: Lidar was collected from March 30, 2020 through April 10, 2020 while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established 18 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 121 independent accuracy checkpoints (67 NVA points and 54 VVA points), were collected and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. The purpose of this project was to obtain Lidar data for the Illinois Height Modernization Program. Task Order No. University of IL #U20066_R-1. Contractor: Woolpert. Sub-contractor: Civil Design Inc. USGS NGP Base Specifications v2.1 Leica Terrain Mapper 15 0.35 4 0.35 4 2377 150 40 115 950 5 2.5 1064 1 0.25 1730 30 GEOID12B 0 0.07 67 0.0686 67 0.167 54 1.4 6 Geometrically unreliable points were identified using a combination of automated and manual techniques and subsequently classified as high or low noise and given the standard Withheld bit. Swath "overage" points were identified in these files using the standard LAS overlap bit. 16 1 Processed but not classified 2 Bare earth ground 3 Low Vegetation (0.5 - 5 feet) 4 Medium Vegetation (5 - 20 feet) 5 High Vegetation (greater than 20 feet) 6 Buildings 7 Noise 9 Water 17 Bridge decks 18 High noise 20 Ignored ground 20200330 20200410 ground condition Complete None planned -88.387141 -87.469803 39.195860 38.550239 968999.999999997 1229000 921000.000000007 686999.999999996 None Lidar Classified LAS Elevation Data LAS Point Cloud Remote Sensing None United States Illinois Crawford County Jasper County Lawrence County No restrictions apply to these data. None. However, users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of its limitations. Acknowledgement of the U.S. Geological Survey and the Illinois Height Modernization Program would be appreciated for products derived from these data. Woolpert prepared the original data as set forth in the Scope of Services, in accordance with reasonable care and due diligence as set forth in this Agreement, however, due to the easily alterable nature of electronic media, files, documents, and other deliverables, Woolpert makes no warranties, either expressed or implied, with respect to the accuracy, completeness, merchantability, or fitness for any particular purpose, including, but not limited to, use of any/all data as described within this metadata file, by any user of this data. Any use will be at the end-user's sole risk. Microsoft Windows 10 Version 1803 (Build 17134.1304); ArcMap 10.7; ArcCatalog 10.7; TerraScan ver. 20; TerraModeler ver. 20; LP360 v2019.1.30.4. Data covers the entire area specified for this project. These LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. This data set was produced to meet ASPRS “Positional Accuracy Standards for Digital Geospatial Data” (2014) for a 17.6 cm RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 43.2 cm at a 95% confidence level. The project specifications require that only Non-Vegetated Vertical Accuracy (NVA) be computed for raw lidar point cloud swath files. The required accuracy (ACCz) is: 19.6 cm at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 10 cm in non-vegetated land cover classes. The NVA was tested with 67 checkpoints located in bare earth and urban (non-vegetated) areas across the entire project area. These check points were not used in the calibration or post processing of the lidar point cloud data. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. Elevations from the unclassified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control points. AccuracyZ has been tested to meet 19.6 cm or better Non-Vegetated Vertical Accuracy at 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standard for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. 0.07 Tested 0.07 meters NVA at a 95% confidence level using RMSE(z) 0.035 x 1.9600 as defined by the National Standard for Spatial Data Accuracy (NSSDA). The NVA of the raw lidar point cloud swath files was calculated against TINs derived from the final calibrated and controlled swath data using 67 independent checkpoints located in non-vegetated land cover categories across the entire project area. Lidar Point Cloud Classification: The point cloud underwent a classification process to determine bare-earth points and non-ground points utilizing "first and only" as well as "last of many" lidar returns. This process determined Processed, but Unclassified (Class 1), Bare Earth Ground (Class 2), Low Vegetation 0.5 - 5 feet (Class 3), Medium Vegetation 5 - 20 feet (Class 4), High Vegetation (Class 5) greater than 20 feet, Buildings (Class 6), Low Noise (Class 7), Water (Class 9), Bridge Decks (Class 17), High Noise (Class 18), Ignored Ground (Class 20). The bare-earth (Class 2 - Ground) lidar points underwent a manual QA/QC step to verify the quality of the DEM as well as a peer-based QC review. This included a review of the DEM surface to remove artifacts and ensure topographic quality. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through a semi-automated process. All ground (Class 2) lidar data inside of the Lake Pond hydro flattening breaklines were then classified to water (Class 9) using TerraScan/LP360 macro functionality. A buffer of 0.7 meters was also used around each hydro-flattened feature to classify these ground (Class 2) points to Ignored Ground (Class 20). All Lake Pond Island features were checked to ensure that the ground (Class 2) points were reclassified to the correct classification after the automated classification was completed. Model Key Points were identified from the ground (Class 2) points using the Key-Point Classification Flag (Bit 1). All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes by USGS. The overlap data was classified using standard LAS overlap bit. These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the withheld bit within various software packages. These processes were reviewed and accepted by USGS through numerous conference calls and pilot study areas. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper was used as a final check of the point cloud dataset. GeoCue was then used to create the deliverable industry-standard LAS files for the Classified Point Cloud data set. Woolpert proprietary software and LP360 was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information. 20210112 Point State Plane Coordinate System 1983 1201 0.999975 -88.33333333333333 36.66666666666666 984250.0 0.0 coordinate pair 0.01 0.01 survey feet North American Datum of 1983 (2011) State Plane East Geodetic Reference System 1980 6378137.0 298.257222101 North American Vertical Datum of 1988 (GEOID12B) 0.01 feet Explicit elevation coordinate included with horizontal coordinates 20210112 Woolpert mailing and physical

4454 Idea Center Blvd.

Dayton OH 45430 USA (937) 461-5660 FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 The purpose of this project was to obtain Lidar data for the Illinois Height Modernization Program. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Product: Processed, classified lidar point cloud data tiles in LAS 1.4 format. Geographic Extent of entire 3 county project area: Approximately 1,409 square miles in southeastern Illinois. Dataset Description: The Lidar 2020 Data Acquisition of 3 Counties in Wabash and Embarrass Basin lidar project called for the planning, acquisition, processing, and production of derivative products of QL2+ lidar data to be collected at a nominal pulse spacing (NPS) of 0.5 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 2.1. The data was developed based on a horizontal datum/projection of NAD83 (2011) State Plane Illinois East Zone Survey Feet, and a vertical datum of NAVD88 (GEOID12B) US Survey Feet. Lidar data was delivered as processed LAS 1.4 files formatted to 10,548 individual 2,000-foot x 2,000-foot tiles. Ground Conditions: Lidar was collected from March 30, 2020 through April 10, 2020 while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established 18 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 121 independent accuracy checkpoints (67 NVA points and 54 VVA points), were collected and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.</SPAN></P></DIV></DIV></DIV> Illinois State Geological Survey (ISGS), a division of the Prairie Research Institute of the University of Illinois, Illinois Department of Commerce and Opportunity and USGS and Woolpert IL_Lawrence_DSM_2020 Lidar Classified LAS Elevation Data LAS Point Cloud Remote Sensing <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>None. However, users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of its limitations. Acknowledgement of the U.S. Geological Survey and the Illinois Height Modernization Program would be appreciated for products derived from these data. Woolpert prepared the original data as set forth in the Scope of Services, in accordance with reasonable care and due diligence as set forth in this Agreement, however, due to the easily alterable nature of electronic media, files, documents, and other deliverables, Woolpert makes no warranties, either expressed or implied, with respect to the accuracy, completeness, merchantability, or fitness for any particular purpose, including, but not limited to, use of any/all data as described within this metadata file, by any user of this data. Any use will be at the end-user's sole risk.</SPAN></P></DIV></DIV></DIV> 20211012 12161300 150000000 5000 1.0 FGDC