Aerial Services, Inc. 20200924 Lidar point cloud Product: These lidar data are processed Classified LAS 1.4 files, formatted to 7509 individual 2000 US survey feet x 2000 US survey feet tiles; used to create intensity images, 3D breaklines and hydro-flattened DEMs as necessary. Geographic Extent: Champaign County Illinois, covering approximately 1049 square miles. Dataset Description: Champaign County Illinois 2019 Lidar project Description: Block B Champaign County, Illinois 2019 Lidar project called for the planning, acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing of 0.5 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. The data was developed based on a horizontal projection/datum of NAD83(2011), State Plane Coordinat System Illinois East (FIPS 1201), United States Survey Feet, and a vertical datum of NAVD88 (GEOID12B), US survey feet. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 7509 individual 2000 US survey feet x 2000 US survey feet tiles, as was tiled Intensity Imagery, and tiled bare earth DEMs; all tiled to the same 2000 US survey feet x 2000 US survey feet schema. 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 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3; Quality Level 2+. The data was developed based on a horizontal projection/datum of NAD83(2011), State Plane Coordinat System Illinois East (FIPS 1201), US survey feet, and a vertical datum of NAVD88 (GEOID12B), US survey feet. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 7509 individual 2000 US survey feet x 2000 US survey feet tiles, as tiled Intensity Imagery, and as tiled bare earth DEMs; all tiled to the same 2000 x 2000 US survey feet schema. Ground Conditions: Lidar was collected in late 2019 and early 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, Subcontractor, Surveying and Mapping, LLC (SAM) established a total of 34 ground control points that were used to calibrate the lidar to known ground locations established throughout the Champaign County, Illinois project area. An additional 112 independent accuracy checkpoints, 64 in Bare Earth and Uraban landcovers (64 NVA points), 48 in tall Grass/tall weeds/crops, Brush lands/short trees, Forested categories (48 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 in conservation planning design, research, floodplain mapping, dam safety assessment and elevation modeling, ect. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEMs. The purpose of this 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. G17PC00007 CONTRACTOR: Aerial Services, Inc. Lidar data were acquired and calibrated by the prime contractor. PRIME: Aerial Services, Inc. All follow-on processing was completed by the prime contractor. U.S. Geological Survey (USGS) - National Geospatial Program (NGP) Lidar Base Specification v1.3 Leica ALS70-HP 4 0.5 4 0.5 4 1300 125 50 47 394 4 0.76 1064 1 0.28 1212 30 National Geodetic Survey (NGS) Geoid12B 0.208 0.086 64 1.4 6 Withheld (ignore) points were identified in these files using the standard LAS witheld 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 17 Bridge Decks 18 High Noise 20 Ignored Ground 20191123 20200308 ground condition Complete None Planned -88.48112 -87.91407 44.41464 39.86571 1303000 1361000 1029000 965000 None Model LAS Point Cloud Remote Sensing Elevation Data Lidar None Illinois Champaign 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. Waypoint's Inertial Explorer version 8.60; Leica's CloudPro version 1.2.4 ; MicroSatation Connect version 10.02.00.39; TerraSolid TerraMatch version019.002,TerraModel version 019.002, TerraScan version 019.003; Windows 10 Operating \\server\directory path\*.las 623GB 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. This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class. The boresight 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 Boresight 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 boresight. 2) Technicians first used Aerial Services Inc. proprietary and commercial software to calculate initial boresight 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 boresight 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 boresight 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 boresight 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 RMSEz within individual swaths and less than or equal to 8 cm RMSEz or within swath overlap (between adjacent swaths). 5) The technicians ran a final vertical accuracy check of the boresighted 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 1.4, and breaklines were collected for water features. Bare earth DEMs were exported from the classified point cloud using collected breaklines for hydroflattening. Champaign_co_lidar_gnd_ctrl 20200609 LAS Point Classification QL2+: The point classification was performed as described below. Classification Filters were applied to aid in the definition of; terrain characteristics, vegetation attribution of low, medium or high and building roof tops. Filtering processes address aspects of the data such as: ground points, noise points, air points, low points, Low vegetation 0.5-5’, medium vegetation 5-20’, high vegetation >20’, manmade features, buildings, and overlap points. The Classified point cloud data was manually reviewed to ensure correct classification of; ground (ASPRS class 2), and building roof tops (ASPRS class 6). After the bare earth surface was finalized, it was then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS class 2) lidar data inside of the Inland Ponds and Lakes, and Inland Streams and Rivers are classified to water (ASPRS class 9). A buffer of 2.5 feet was used around each hydro-flattened feature to classify ground (ASPRS class 2) to ignored ground (ASPRS class 20). Island features were checked to ensure that Ground point (ASPRS class 2) remained classified as Ground. Ground points (ASPRS class 2) within 2.5 feet of bridge breaklines, used to reduce triangulation between bridge decks were also classified to Ignored ground (ASPRS class 20). All bridge decks were classified to Bridge deck (ASPRS class 17). All remaining points were filtered, or manually classified to their respective point classification; processed (ASPRS class 1), low vegetation (ASPRS class 3), medium vegetation (ASPRS class 4), high vegetation (ASPRS class 5), buildings (ASPRS class 6), low noise (ASPRS class 7), high noise (ASPRS class 18). TerraScan v019.019 was used to identify the overlap flag and bit set flags to LAS v1.4 specifications. LP360 64bit was used to deduce the Well Known Text (WKT) and an ASI proprietary software was used to format the LAS to the final LAS v1.4 Format 6 version. LAStools by rapidlasso GmbH, open source, lasinfo (open source LGPL) and an ASI proprietary software was used to perform final analysis to checks on LAS header information, LAS point classes, and LAS timestamps. 20200923 Data was tested at 0.5 meter nominal pulse spacing and a 4 pulses per meter. The nominal pulse spacing was tested on classified tiled LAS using geometrically reliable first-return points. NPS was tested using Delaunay Triangulation that produced average point spacing between all nearest neighbors. 20200609 Point Point 22,305,954,161 State Plane Coordinate System 1983 NAD 1983 2011 Illinois East State Plane (FIPS 1201) 0.999975 -88.33333333 36.66666667 984250 0.0 row and column 2 2 US Survey Feet North American Datum of 1983 2011 Geodetic Reference System 1980 6378137 298.25722101 North American Vertical Datum of 1988, Geoid 12B 0.01 US survey feet Explicit elevation coordinate included with horizontal coordinates 20200924 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. Unclassified. None. None. None. To acquire QL2+ lidar detailing surface elevation data, vegetation, and buildings for use in conservation planning design, research, floodplain mapping, dam safety assessment and elevation modeling, ect. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEMs. The purpose of this 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 7509 individual 2000 US survey feet x 2000 US survey feet tiles; used to create intensity images, 3D breaklines and hydro-flattened DEMs as necessary. Geographic Extent: Champaign County Illinois, covering approximately 1049 square miles. Dataset Description: Champaign County Illinois 2019 Lidar project Description: Block B Champaign County, Illinois 2019 Lidar project called for the planning, acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing of 0.5 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. The data was developed based on a horizontal projection/datum of NAD83(2011), State Plane Coordinat System Illinois East (FIPS 1201), United States Survey Feet, and a vertical datum of NAVD88 (GEOID12B), US survey feet. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 7509 individual 2000 US survey feet x 2000 US survey feet tiles, as was tiled Intensity Imagery, and tiled bare earth DEMs; all tiled to the same 2000 US survey feet x 2000 US survey feet schema. 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 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3; Quality Level 2+. The data was developed based on a horizontal projection/datum of NAD83(2011), State Plane Coordinat System Illinois East (FIPS 1201), US survey feet, and a vertical datum of NAVD88 (GEOID12B), US survey feet. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 7509 individual 2000 US survey feet x 2000 US survey feet tiles, as tiled Intensity Imagery, and as tiled bare earth DEMs; all tiled to the same 2000 x 2000 US survey feet schema. Ground Conditions: Lidar was collected in late 2019 and early 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, Subcontractor, Surveying and Mapping, LLC (SAM) established a total of 34 ground control points that were used to calibrate the lidar to known ground locations established throughout the Champaign County, Illinois project area. An additional 112 independent accuracy checkpoints, 64 in Bare Earth and Uraban landcovers (64 NVA points), 48 in tall Grass/tall weeds/crops, Brush lands/short trees, Forested categories (48 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, NRCS, Aerial Services, Inc. IL_Champaign_DTM_2020 2021-01-21T00:00:00 United States Geological Survey (USGS) 1400 Independence Road Rolla MO 65401 US 573-308-3638 Model LAS Point Cloud Remote Sensing Elevation Data Lidar <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> -88.47 -87.91 40.40 39.86 1 acquisition dates 2019-04-16T00:00:00 2020-04-30T00:00:00 150000000 5000 1.0 FGDC 20210125 7333800 BuildPyramids \\isgs-volcano\lidarproducts\counties\champaign\2020\cham_dsm_2020 -1 NONE CUBIC DEFAULT 75 OVERWRITE CalculateStatistics Z:\counties\champaign\2020\cham_dsm_2020 1 1 # OVERWRITE "Feature Set" BuildPyramids \\isgs-volcano\lidarproducts\counties\champaign\2020\cham_dsm_2020 -1 NONE Cubic DEFAULT 75 OVERWRITE 20210121 United States Geological Survey (USGS) 1400 Independence Road Rolla MO 65401 US 573-308-3638 United States Geological Survey (USGS) From an independent QAQC performed by Illinois State Geological Survey (ISGS) some observations were recorded: 1. Out of the 7509 tiles for Champaign County, 1695 of the tiles have duplicate points in them. 2. None of the points use the withheld flag. 3. 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. 4. There are crops present in the field in some locations that make the DTM not as accurate as desired. 5. There are points missing for high voltage power lines in flight line overlap areas. 6. For large building with black roofs, there are often missing points on the roof. QAQC LiDAR data flown. ISGS: • Terrains produced using the ArcGIS created multipoint data, and the provided breaklines and manually created project boundary specified as a hardline and soft clip respectively. • Raster derivatives were created from the terrain datasets using a cell size of 2.0 feet. • Hillshades were created from each raster with a Z factor of 2 2021-01-21T00:00:00 /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCAKHAWADASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx 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