Aerial Services, Inc. 20190102 Lidar point cloud Product: These lidar data are processed Classified LAS 1.4 files, formatted to 22,208 individual 2000 foot x 2000 foot tiles; used to create intensity images, 3D breaklines and hydro-flattened DEMs as necessary. Geographic Extent: West Central Illinois, covering approximately 3,077 square miles. Counties included are Schuyler, Brown, Menard, Mason, Sangamon, and Morgan. A lidar survey was collected over two (2) areas of interest (AOI) in Illinois identified as the Base AOI and the Option AOI. The Base AOI covers approximately 1,926 square miles in total and the Option AOI covers approximately 1,151 square miles for a total of 3,077 square miles. Dataset Description: West Central Illinois 2017 Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.5 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2; Quality Level 2+. The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane Coordinate System Illinois West (FIPS 1202), US Survey Feet and vertical datum of NAVD88 (GEOID12B), US Survey Feet. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 22,208 individual 2000 foot x 2000 US survey feet tiles, as 22,208 tiled Intensity Imagery, and as 22,209 tiled bare earth DEMs; all tiled to the same 2000 foot x 2000 foot schema. In an effort to preserve smooth continuity of the surface in which there are multiple overlapping swaths, an isolated area of cross flight line 229 was bit set at withheld in the following nine tiles: 2207_1295, 2207_1293, 2209_1297, 2209_1295, 2209_1293, 2311_1297, 2311_1295, 2311_1293, and 2313_1297. One tile located in Mason County, titled 2353_1367, did not contain LAS points as it consisted strictly of water with no ground points present. Therefore, no intensity image TIF could be produced for this tile, only a hydro-flattened DEM image is available. This tile is included in the tile index consisting of 22,209 tiles. Ground Conditions: Lidar was collected in December 2017, 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, Surveying and Mapping, LLC (SAM) established a total of 63 ground control points that were used to calibrate the lidar to known ground locations established throughout the Base AOI and Option AOI project areas. An additional 162 independent accuracy checkpoints, 91 in Bare Earth and Urban landcovers (91 NVA points), 71 in tall Grass/tall weeds/crops, Brush lands/short trees, Forested categories (71 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. To acquire QL2+ lidar detailing surface elevation data, vegetation, and buildings for use to support the 3DEP mission, the Natural Resources Consevation Services (NRCS) Agricultural Drainage Water Management Initiative, National Water Quality Initiative and the Mississippi River Basin Initiative. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 2 US survey feet cell size. These lidar point cloud data were used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary. USGS Contract No. G17PD01203 CONTRACTOR: Aerial Services, Inc. Lidar data were acquired and calibrated by the prime contractor. SUBCONTRACTOR: Tetra Tech manually edited bare earth surface and building rooftop cleanup, preformed hydro collection, flattening, produced bare earth DEMs for 2/3 of the project area. All follow-on processing was completed by the prime contractor. USGS-NGP Base Lidar Specification v1.2 Leica ALS70-HP Airborne LiDAR Scanner 4 0.5 4 0.5 4 1300 110 50 47 197 5 1.50 1064 1 0.29 1212 30 National Geodetic Survey (NGS) Geoid12B 0.18466 0.12247 91 0.12256 91 0.17489 71 1.4 6 Withheld (ignore) points were identified in these files using the standard LAS Withheld bit. Swath "overage" points were identified in these files using the standard LAS overlap bit 16 1 Processed, but Unclassified 2 Bare Earth Ground 3 Low Vegetation 4 Medium Vegetation 5 High Vegetation 6 Building 7 Low Noise 9 Water 10 Ignored Ground 17 Bridge Decks 18 High Noise 20171203 20171213 Ground Condition Complete None Planned -90.91799 -89.21635 40.43681 39.51806 1161653 1147259 2363897 2278654 None Model LAS Point Cloud Classified LAS Swath LAS Remote Sensing Elevation Data Lidar Digital Elevation Model Breaklines None Illinois Schuyler County Brown County Menard County Mason County Sangamon County Morgan 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 would be appreciated for products derived from these data. Aerial Services, Inc. mailing and physical

6315 Chancellor Dr.

Cedar Falls IA 50613 USA (319)277-0436 Waypoint's Inertial Explorer version 8.60; Leica's CloudPro version 1.2.4 ; MicroSatation Connect version 10.0.0.25; TerraSolid TerraMatch version018.001,TerraModel version 018.002, TerraScan version 018.008; Windows 10 Operating \\server\directory path\*.las 2.25TB 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. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications. Breaklines have been inspected for completeness and correct geographic placement. Digital Elevation Models derived from the point cloud provide complete coverage over the project area, without voids. 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 the Bare Earth and Urban land cover classes. The NVA was tested with 91 checkpoints located in bare earth and urban (non-vegetated) areas. 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 Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. 0.12247 Tested 0.12247 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards 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 91 independent checkpoints located in Bare Earth and Urban land cover classes. 0.122 Tested 0.122 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the DEM was calculated using 91 independent checkpoints located in the Bare Earth and Urban land cover categories. 0.163 Tested 0.163 meters VVA was calculated using 71 checkpoints located in tall Grass/tall weeds/crops, Brush lands/short trees, Forested land cover categories at the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for Lidar Data. Tested against the DEM. Surveying and Mapping, LLC (SAM) 20171024 vector digital data and tabular digital data St. Louis, MO Surveying and Mapping, LLC (SAM), Survey Department None None 50 online 20171205 ground condition IL_West_Central_lidar_gnd_ctrl This data source was used (along with airborne GPS/IMU data) to georeference the lidar point cloud data. The calibration for each lift was done individually as the solution may change slightly from lift to lift. The following steps describe the Raw Data Processing and calibration process: 1) Technicians processed the raw data to LAS format flight lines using the final GPS/IMU solution. This LAS data set was used as source data for calibration . 2) Technicians first used commercial software to calculate initial calibration adjustment angles based on sample areas selected in the lift. These areas cover calibration flight lines collected in the lift, cross tie and production flight lines. These areas are well distributed in the lift coverage and cover multiple terrain types that are necessary for calibration angle calculation. The technician then analyzed the results and made any necessary additional adjustment until it is acceptable for the selected areas. 3) Once the calibration angle calculation was completed for the selected areas, the adjusted settings were applied to all of the flight lines of the lift and checked for consistency. The technicians utilized commercial and proprietary software packages to analyze how well flight line overlaps match for the entire lift and adjusted as necessary until the results met the project specifications. 4) Once all lifts were completed with individual calibration adjustment, the technicians checked and corrected the vertical misalignment of all flight lines and also the matching between data and ground truth. The relative accuracy was less than or equal to 6 cm RMSDz within individual swaths and less than or equal to 10 cm RMSDz or within swath overlap (between adjacent swaths). 5) The technicians ran a final vertical accuracy check of the calibrated flight lines against the surveyed check points after the z correction to ensure the requirement of NVA = 19.6 cm 95% Confidence Level (Required Accuracy) was met. Point classification was performed according to USGS Lidar Base Specification 1.2, and breaklines were collected for water features. Bare earth DEMs were exported from the classified point cloud using collected breaklines for hydroflattening. IL_West_Central_lidar_gnd_ctrl 20171018 Surveying and Mapping, LLC (SAM) B. Espinosa mailing and physical

1224 Fern Ridge Parkway, Suite 110

St. Louis Missouri 63141 USA 314.576.9878 314.576.9922 info@sam.biz Point Point 86,765,369,227 coordinate pair 0.01 0.01 US Survey Feet North American Datum of 1983 2011 Geodetic Reference System 1980 6378137 298.25722210 North American Vertical Datum of 1988 0.01 US survey feet Explicit elevation coordinate included with horizontal coordinates 20190102 20190102 Aerial Services, Inc. mailing and physical

6315 Chancellor Dr.

Cedar Falls IA 50613 USA (319)277-0436 FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 None None None None None None None Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.1.7333 IL_Mason_DSM_2017 2019-03-29T00:00:00 Leslie Lansberry USGS NGTOC Geographer 1 -90.362582 -89.597806 40.437328 40.048756 none 2017-12-03T00:00:00 2017-12-13T00:00:00 To acquire QL2+ lidar detailing surface elevation data, vegetation, and buildings for use to support the 3DEP mission, the Natural Resources Consevation Services (NRCS) Agricultural Drainage Water Management Initiative, National Water Quality Initiative and the Mississippi River Basin Initiative. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 2 US survey feet cell size. These lidar point cloud data were used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Product: These lidar data are processed Classified LAS 1.4 files, formatted to 22,208 individual 2000 foot x 2000 foot tiles; used to create intensity images, 3D breaklines and hydro-flattened DEMs as necessary. Geographic Extent: West Central Illinois, covering approximately 3,077 square miles. Counties included are Schuyler, Brown, Menard, Mason, Sangamon, and Morgan. A lidar survey was collected over two (2) areas of interest (AOI) in Illinois identified as the Base AOI and the Option AOI. The Base AOI covers approximately 1,926 square miles in total and the Option AOI covers approximately 1,151 square miles for a total of 3,077 square miles. Dataset Description: West Central Illinois 2017 Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.5 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2; Quality Level 2+. The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane Coordinate System Illinois West (FIPS 1202), US Survey Feet and vertical datum of NAVD88 (GEOID12B), US Survey Feet. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 22,208 individual 2000 foot x 2000 US survey feet tiles, as 22,208 tiled Intensity Imagery, and as 22,209 tiled bare earth DEMs; all tiled to the same 2000 foot x 2000 foot schema. In an effort to preserve smooth continuity of the surface in which there are multiple overlapping swaths, an isolated area of cross flight line 229 was bit set at withheld in the following nine tiles: 2207_1295, 2207_1293, 2209_1297, 2209_1295, 2209_1293, 2311_1297, 2311_1295, 2311_1293, and 2313_1297. One tile located in Mason County, titled 2353_1367, did not contain LAS points as it consisted strictly of water with no ground points present. Therefore, no intensity image TIF could be produced for this tile, only a hydro-flattened DEM image is available. This tile is included in the tile index consisting of 22,209 tiles. Ground Conditions: Lidar was collected in December 2017, 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, Surveying and Mapping, LLC (SAM) established a total of 63 ground control points that were used to calibrate the lidar to known ground locations established throughout the Base AOI and Option AOI project areas. An additional 162 independent accuracy checkpoints, 91 in Bare Earth and Urban landcovers (91 NVA points), 71 in tall Grass/tall weeds/crops, Brush lands/short trees, Forested categories (71 VVA points), were 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> USGS, ISGS Model LAS Point Cloud Classified LAS Swath LAS Remote Sensing Elevation Data Lidar Digital Elevation Model Breaklines <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 would be appreciated for products derived from these data.</SPAN></P></DIV></DIV></DIV> mason_dsm file://X:\counties\mason\mason_dsm Local Area Network 002 2242049.999788 2454929.999788 1232131.484962 1373177.484962 1 Projected GCS_NAD_1983_2011 Linear Unit: Foot_US (0.304801) NAD_1983_2011_StatePlane_Illinois_West_FIPS_1202_Ft_US <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' 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32 FALSE None 1 GRID TRUE continuous floating point -3.4028235e+038 20190415 11501100 20190415 11503900 150000000 5000 1.0 FGDC Raster Dataset dataset EPSG 8.9.3(10.3.1) 2 1 0 2242049.999788 1232131.484962 2242049.999788 1373177.484962 2454929.999788 1373177.484962 2454929.999788 1232131.484962 2348489.999788 1302654.484962 106440 2.000000 70523 2.000000 Mason_DSM 963.780151 403.916077 32 elevation False False False False False 20190415 /9j/4AAQSkZJRgABAQEBkAGQAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCBCWGEADASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA 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Rolla Missouri 65401 US 573-308-3538 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. All files load in their correct geographic position and conform to the USGS LiDAR Base Specifications Version 1.2. Some Known Errors are: 1) The “Boundary, Bridges, Inland_Lake_Pond, Inland_Stream_River, Island_Polygon, and Island_Polyline” break line feature classes somehow have the horizontal datum with the wrong unit of measurement, meters instead of feet, in the Z information. (It should be NAVD88 ft us) 2) The GCP, NVA, and VVA checkpoint shapefiles are not Z enabled, and as a result have no vertical datum information. 3) A portion of a building has been misclassified as ground as seen on tile #2161_1221 and #2163_1221 4) There is a sporadic issue of points in one of the advanced classifications, i.e. points that represent structures, trees, etc., being misclassified into one of the other classes. 5) There are occasional instances where if vegetation extends far enough over water it is classified as unclassified instead of vegetation. As seen on tile #2199_1209 none none none