Digital Aerial Solutions. LLC. Unknown remote-sensing image Tampa, FL Digital Aerial Solutions. LLC. Digital Aerial Solutions. LLC. Unpublished Material Unknown remote-sensing image The Light Detection and Ranging (LiDAR) dataset is a survey of the NRCS Christian Co. Ill G14PD00970 4 ppm LiDAR Project in Illinois and encompasses 715 square miles. The LiDAR point cloud was flown at a nominal post spacing of 0.5 meters for unobscured areas. The LiDAR data and derivative products produced are in compliance with the U.S. Geological Survey National Geospatial Program Guidelines and Base Specifications, Version 1.0 The flight lines were acquired by Digital Aerial Solutions, LLC. between Dec 2014 and March 2015. Derivative products from the aerial acquisition include: Raw point cloud data in LAS v1.2, classified point cloud data in LAS v1.2, bare earth surface tiles (raster DEM GeoTIFF format), bare earth surface DEMs mosaic (raster DEM ESRI Arc Grid format), control points, project report, and FGDC compliant XML metadata. These acquisitions of the LiDAR data and its derivatives were made possible by the Natural Resources Conservation Service (NRCS) with help from the United States Geological Survey (USGS). 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. The data do not replace the need for detailed site-specific studies. The information is not appropriate for, and is not to be used as, a geodetic, legal, or engineering base. The 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. LiDAR Leica ALS70 Serial Number 130 1.0 4 0.50 4 0.50 4 3775 ft 140 NAD_1983_2011_Stateplane_Illinois_West_FIPS_1202_Ft_US NAVD 1988 National Geodetic Survey (NGS) Geoid12B. 20 0.266 RMSEz 95% 0.522 ACCz Confidence Level bare-earth, short grass 20 0.266 RMSEz 95% 0.522 ACCz Confidence Level bare-earth, short grass 96 0.686 feet 95th Percentile, Tall Grass, Trees/Forested, Brush 1.2 1 Unclassified 2 Ground 3 Low vegetation (0-5 feet) 4 Medium vegetation (5-20 feet) 5 High vegetation (20 feet or more) 6 All structures except bridges 7 All noise 9 Water 10 Ignored Ground (Breakline Proximity) 14 Ground Overlap 15 Default Overlap 17 Bridge Decks 20141203 20150331 ground condition Complete Unknown -89.560778 -88.992334 39.839029 39.327437 Digital Elevation Model elevation Site Location NRCS Christian Co Ill LiDAR Survey State Illinois Country United States none None none Spring 2014-2015 None The data depicts the elevations at time of survey and are accurate only for that time. Exercise professional judgment in using this data. Digital Aerial Solutions. LLC. mailing and physical address

8409 Laurel Fair Circle Ste: 100

Tampa Florida 33610 USA (813) 628-0788 Jhelton@digitalaerial.com 8:00 - 5:00 Natural Resources Conservation Service (NRCS) with help from the United States Geological Survey (USGS) and Digital Aerial Solutions. LLC. Unclassified Unclassified Information Unclassified Microsoft Windows 7 Professional (Build 3600) Service Pack 1; ESRI ArcCatalog 10.0 There is not a systematic method of testing when testing horizontal accuracy in LiDAR. The estimated horizontal accuracy at one sigma based on flying height for the project, is between 10cm and 20cm according to manufacturer specifications. The vertical accuracy assesment for the Bare Earth DEM was completed using the 96 ground check points that were collected for the project area. The FVA for the Bare Earth DEM tested 0.504 feet at the 95% confidence level in Open Terrain. The SVA for the Brush Land class tested 0.685 feet at the 95% confidence level, the SVA for the Forested and Fully Grown class tested 0.819 feet at the 95% confidence level, the SVA for the Tall Weeds and Crops class tested 0.686 feet at the 95% confidence level, the SVA for the Urban class tested 0.653 feet at the 95% confidence level. The GPS survey was tied to the Continual Operating Reference Station (CORS) operated by Kara Company and located in Decatur, Illinois. The CORS is designated Kara Co 12. PID is DK4053 and NOAA CORS refers to the station as KA12. This station has a 5 second GPS and Glonass sampling rate. Kara Company provides Real Time Kinematic (RTK) capabilities. This allows corrections to be applied to the points as they are being collected, eliminating the need for an adjustment. Several existing NGS monuments listed in the NSRS database were used as checks within the Ground Survey. This confirmed the survey accuracies were being met as well as providing a redundancy check on the RTK results. The Specified local network accuracy of 5cm at the 95% confidence level was met or exceeded. Data analysis was accomplished by comparing ground NGS checkpoints with LIDAR points from the edited data set, which were within 3.3 feet horizontally from the ground truth points. Based on the number of returns and the density of points in this project, it was not necessary to compare to LiDAR points further away than 3.3 feet horizontally from the ground truth points. Note that the edited LIDAR points are simply a subset of the raw LIDAR points. The points that fell above the ground surface on vegetation canopies, buildings, or other obstructions were removed from the data set. Comparisons were also made between the survey points and the LIDAR derived terrain surface. These comparisons provide an additional verification of the LIDAR data against the ground survey data. Ground Truth data was collected of the five major land cover classes dispersed within the area of interest. 20 points were collected in the Bare Earth/ Open Terrain class, 21 points were collected in the Urban class, 18 points were collected in the Tall Weeds/ Crops class, 16 points were collected in the Brush Lands and Trees class, and 21 points were collected in the Forested and Fully Grown class. All 96 GPSed points were surveyed using the Leica RTK network once completed the rover station is used to collect the high vegetation ground class. A Leica1500 station was used to collect all the shots collected in the high vegetation class, due to the limited GPS signal when working in and around tree canopy. There is not a systematic method of testing when testing horizontal accuracy in LiDAR. However this is tested during calibration of the sensor and is rechecked during the comparing of parallel and perpendicular flight lines. The estimated horizontal accuracy at one sigma based on flying height for the project, is between 10cm and 20cm according to manufacturer specifications. Accuracy defined by NSSDA at the 95 % confidence level would be multiplier by 1.7308 times the RMSE. Data over well-defined surfaces has been tested to meet an RMSEz of 9.25 cm (0.30 ft.) and a Fundamental Vertical Accuracy (FVA) of 18.2 cm (0.59 ft) 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)/ASPRS Guidelines. 0.504 ft Tested 0.504 ft vertical accuracy at the 95% confidence level in open terrain, based on RMSEz x 1.9600. Tested against the DEM 0.686 ft Tested 0.686 ft supplemental vertical accuracy (SVA) at the 95th percentile in Tallweed catagories. Tested against the DEM. 0.685 ft Tested 0.685 ft supplemental vertical accuracy (SVA) at the 95th percentile in Brushland catagories. Tested against the DEM. 0.819 ft Tested 0.819 ft supplemental vertical accuracy (SVA) at the 95th percentile in Forested catagories. Tested against the DEM. 0.653 ft Tested 0.653 ft supplemental vertical accuracy (SVA) at the 95th percentile in urban catagories. Tested against the DEM. 0.690 ft Tested 0.690 ft consolidated vertical accuracy (CVA) at the 95th percentile in all categories of data. Tested against the DEM. The ABGPS, inertial measurement unit (IMU), and raw scans are collected during the LiDAR aerial survey. The ABGPS monitors the xyz position of the sensor and the IMU monitors the orientation. During the aerial survey, laser pulses reflected from features on the ground surface are detected by the receiver optics and collected by the data logger. GPS locations are based on data collected by receivers on the aircraft and base stations on the ground. The ground base stations are placed no more than 40 km radius from the flight survey area.The unedited data are classified to facilitate the application of the appropriate feature extraction filters. Combinations of proprietary filters are applied as appropriate for the production of bare earth digital elevation models (DEMs). Interactive editing methods are applied to those areas where it is inappropriate or impossible to use the feature extraction filters, based upon the design criteria and/or limitations of the relevant filters. These same feature extraction filters are used to produce elevation height surfaces. The data was classified as follows: Class 1 =Processed, but unclassified Class 2 = Bare-earth ground Class 3 = Low Vegetation is 0-5 feet Class 4 = Medium Vegetation is 5-20 feet Class 5 = High Vegetation is 20 feet or more Class 6 = Buildings, bridges, other manmade structures Class 7 = Noise (low or high, manually identified, if needed Class 9 = Water Class 10 Ignored Ground (Breakline Proximity) Class 14 = Ground Overlap Class 15 = Defualt Overlap Class 17 = Bridge Decks Leica ALS 70 serial number 130 Airborne Global Positioning System Inertial Measuring Unit Global Positioning System 20150315 LiDAR Scan Files LiDAR Scans, GPS data Digital Aerial Solutions. LLC. mailing and physical address

8409 Laurel Fair Circle Ste: 100

Tampa Florida 33610 USA (813) 628-0788 jhelton@digitalaerial.com 8:00 - 5:00 The ABGPS, IMU, and raw scans are integrated using proprietary software developed by Leica and delivered with the Leica System. The resultant file is in a LAS binary file format. The LAS version 1.2 file format can be easily transferred from one file format to another. It is a binary file format that maintains information specific to the LiDAR data (return number, intensity value, xyz, etc.). The resultant points are produced in the State Plane Coordinate System Illinois West (FIPS 1202), with units in US Survey Feet and referenced to the NAVD88 datum. The LiDAR mass points were processed in American Society for Photogrammetry and Remote Sensing LAS 1.2 format. The header file for each dataset is complete as defined by the LAS 1.0 specification. The datasets were divided into a 5280 ft. by 5280 ft. tiling scheme, based on the US National grid index. The tiles are contiguous, do not overlap, and are suitable for seamless topographic data mosaics that include no "no data" areas. Airborne Global Positioning System data Inertial Measurement Unit LiDAR scans 20150331 LiDAR Point Cloud data sets LAS 1.2 file format Digital Aerial Solutions. LLC. mailing and physical address

8409 Laurel Fair Circle Ste: 100

Tampa Florida 33610 USA (813) 628-0788 jhelton@digitalaerial.com 8:00 - 5:00 The unedited data are classified to facilitate the application of the appropriate feature extraction filters. A combination of proprietary filters are applied as appropriate for the production of bare earth digital elevation models (DEMs). Interactive editing methods are applied to those areas where it is inappropriate or impossible to use the feature extraction filters, based upon the design criteria and/or limitations of the relevant filters. These same feature extraction filters are used to produce elevation height surfaces. LAS 1.2 Format 20150425 Filtered data LiDAR datasets Digital Aerial Solutions. LLC. mailing and physical address

8409 Laurel Fair Circle Ste: 100

Tampa Florida 33610 USA (813) 628-0788 jhelton@digitalaerial.com 8:00 - 5:00 Filtered and edited data are subjected to rigorous QA/QC, A series of quantitative and visual procedures are employed to validate the accuracy and consistency of the filtered and edited data. Ground control is established by DAS and GPS-derived ground control points (GCPs) in various areas of dominant and prescribed land cover. These points are coded according to land cover, surface material, and ground control suitability. A suitable number of points are selected for calculation of a statistically significant accuracy assessment, as per the requirements of the National Standard for Spatial Data Accuracy. A spatial proximity analysis is used to select edited LiDAR data points within a specified distance of the relevant GCPs. A search radius decision rule is applied with consideration of terrain complexity, cumulative error, and adequate sample size. Accuracy validation and evaluation is accomplished using proprietary software to apply relevant statistical routines for calculation of Root Mean Square Error (RMSE) and the National Standard for Spatial Data Accuracy (NSSDA), according to Federal Geographic Data Committee (FGDC) specifications. Filtered LiDAR 1.2 data 20150522 Quality verified bare earth data set 3-D hydrologic breaklines Digital Aerial Solutions. LLC. mailing and physical address

8409 Laurel Fair Circle Ste: 100

Tampa Florida 33610 USA (813) 628-0788 jhelton@digitalaerial.com 8:00 - 5:00 The Bare Earth DEM was extracted from the raw LIDAR products and attributed with the bare earth elevation for each cell of the DEM. Bare Earth DEMs do not include buildings, vegetation, bridges or overpass structures in the bare earth model. Where abutments were clearly delineated, this transition occurred at the junction of the bridge and abutment. Where this junction was not clear, the extractor used their best estimate to delineate the separation of ground from elevated bridge surface. In the case of bridges over water bodies, if the abutment was not visible, the junction was biased to the prevailing stream bank so as not to impede the flow of water in a hydrographic model. Bare earth surface includes the top of water bodies not underwater terrain, if visible. Bare Earth LiDAR Returns 20150625 3 foot Bare-Earth DEM Digital Aerial Solutions. LLC. mailing and physical address

8409 Laurel Fair Circle Ste: 100

Tampa Florida 33610 USA (813) 628-0788 jhelton@digitalaerial.com 8:00 - 5:00 0 Raster Pixel row and column 3 3 survey feet Transverse Mercator 0.9999411764705882 -90.16666666666667 36.66666666666666 2296583.333333333 0.0 D_North_American_1983 Geodetic Reference System 80 6378137.000000 298.257222 GCS_NAD_1983 NAD_1983_HARN_StatePlane_Illinois_West_FIPS_1202_Feet North American Vertical Datum of 1988 (Geoid 12B) 0.001000 feet Explicit elevation coordinate included with horizontal coordinates 32-bit GeoTIFF format bare earth tiles REDAS Imagine format ERDAS The Light Detection and Ranging (LiDAR) dataset is a survey of the NRCS-ChrisitanCo Ill LiDAR Survey encompasses 715 square miles. The LiDAR point cloud was flown at a nominal post spacing of 0.5 meters for unobscured areas. The LiDAR data and derivative products produced are in compliance with the U.S. Geological Survey National Geospatial Program Guidelines and Base Specifications, Version 1.0 The flight lines were acquired by Digital Aerial Solutions, LLC. between Dec 2014 and March 2015. Derivative products from the aerial acquisition include: Raw point cloud data in LAS v1.2, classified point cloud data in LAS v1.2, bare earth surface tiles (raster DEM GeoTIFF format), bare earth surface DEMs mosaic (raster DEM ESRI Float GRID format), control points, project report, and FGDC compliant XML metadata. The Light Detection and Ranging (LiDAR) dataset is a survey of the NRCS-ChrisitanCo Ill LiDAR Survey encompasses 715 square miles. The LiDAR point cloud was flown at a nominal post spacing of 0.5 meters for unobscured areas. The LiDAR data and derivative products produced are in compliance with the U.S. Geological Survey National Geospatial Program Guidelines and Base Specifications, Version 1.0 The flight lines were acquired by Digital Aerial Solutions, LLC. between Dec 2014 and March 2015. Derivative products from the aerial acquisition include: Raw point cloud data in LAS v1.2, classified point cloud data in LAS v1.2, bare earth surface tiles (raster DEM GeoTIFF format), bare earth surface DEMs mosaic (raster DEM ESRI Float GRID format), control points, project report, and FGDC compliant XML metadata. 20150726 Joshua Helton Digital Aerial Solutions. LLC. LiDAR Manager mailing and physical address

8409 Laurel Fair Circle Ste:100

Tampa Florida 33610 USA (813) 628-0788 (813) 628-0777 jhelton@digitalaerial.com 8:00 - 5:00 EST FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time To be determined by client none Geography Unclassified Information Unclassified These acquisitions of the LiDAR data and its derivatives were made possible by the Natural Resources Conservation Service (NRCS) with help from the United States Geological Survey (USGS). 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. The data do not replace the need for detailed site-specific studies. The information is not appropriate for, and is not to be used as, a geodetic, legal, or engineering base. The 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. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The Light Detection and Ranging (LiDAR) dataset is a survey of the NRCS Christian Co. Ill G14PD00970 4 ppm LiDAR Project in Illinois and encompasses 715 square miles. The LiDAR point cloud was flown at a nominal post spacing of 0.5 meters for unobscured areas. The LiDAR data and derivative products produced are in compliance with the U.S. Geological Survey National Geospatial Program Guidelines and Base Specifications, Version 1.0 The flight lines were acquired by Digital Aerial Solutions, LLC. between Dec 2014 and March 2015. Derivative products from the aerial acquisition include: Raw point cloud data in LAS v1.2, classified point cloud data in LAS v1.2, bare earth surface tiles (raster DEM GeoTIFF format), bare earth surface DEMs mosaic (raster DEM ESRI Arc Grid format), control points, project report, and FGDC compliant XML metadata.</SPAN></P></DIV></DIV></DIV> Natural Resources Conservation Service (NRCS) with help from the United States Geological Survey (USGS) and Digital Aerial Solutions. LLC. IL_Christian_DSM_2015 2016-10-12T00:00:00 2016-10-12T00:00:00 2016-10-12T00:00:00 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 October 12, 2016) external 7d3845269907ca36af81fc7cbb653758 Natural Resources Conservation Service (NRCS) 2118 W. Park Court Champaign Illinois 61821 US 217-353-6600 Monday thru Friday 8-5 True Natural Resources Conservation Service (NRCS) elevation Illinois Christian County Lidar Terrain <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The data depicts the elevations at time of survey and are accurate only for that time. 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Peabody Dr. Champaign IL 61821 info@isgs.edu US 217-333-4747 Monday thru Friday 8 am to 5 pm True Illinois State Geological Survey 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 3: low vegetation Class 4: medium vegetation Class 5: high vegetation Class 6: buildings Class 7: noise Class 8: model keypoints Class 9: water Class 10: proximity to breaklines Class 14: bridges Class 17: overlap unclassified Class 18: overlap ground Class 19: overlap low vegetation Class 20: overlap medium vegetation Class 21: overlap high vegetation Class 22: overlap buildings Class 23: overlap noise Class 24: overlap model keypoints Class 25: overlap water Class 26: overlap 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. 2016-10-12T01:00:00 USGS Primary QAQC Champaign Illinois 61820 217-328-8747 completed 1. The LiDAR data does not go all the way to the tile boundary in some areas. 2. The breaklines only extend to a 100 meter buffer around the county boundary, not the extent of the data. 4. There is a flight line that is out of tolerance in some areas. It also has a cornrowing effect on either side of the flight line. As seen on tile #16SBJ9294 and #16SBJ9295: 5. There are numerous below ground points that have been classified as ground and other classes instead of noise. (This error seem to be predominantly on the western side of the county) As seen on the DTM on tile #16SBJ8162: 6. There are several building that have been classified as ground As seen on tile #16SBJ9374: 7. Vegetation between stream banks has been classified ground in several areas. As seen on tile #16SBJ998 and #16SCJ0098: 8. There is a countywide problem with points that are classified as low vegetation. They cover the entire extent of the county. They cover complete fields, roads, parking lots, etc. Though the ISGS has encountered other datasets with numerous low vegetation points, that could be attributed to a late spring collection. But with a collection date of 12/1/14 – 3/31/15 that should not be the case here. This issue leads more to a sensor issue and or an algorithm classification error. The error is to the extent that we would recommend not using the low vegetation points in any analysis of the data. 9. 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. 10. There is a systematic issue with power lines, including high voltage power lines, of being classified as vegetation throughout the county.