Quantum Spatial, Inc. 20161102 Raster digital data Product: These are Digital Elevation Model (DEM) data for Calhoun County, Georgia as part of the required deliverables for the Georgia Counties 2016 QL2 LiDAR Lidar project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create 2 foot hydro-flattened Raster DEMs. Geographic Extent: Seventeen whole and partial counties in Georgia, covering approximately 6,851 total square miles; one county covering approximately 289 square miles in the GA West Small AOI. Dataset Description: Georgia Counties 2016 QL2 Lidar project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data for counties in the western AOI was developed based on a horizontal projection/datum of NAD83 (2011), State Plane Georgia West Zone, US survey feet and vertical datum of NAVD88 (GEOID12B), US survey feet. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files formatted to 370 individual 5,000 ft x 5,000 ft tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 5,000 ft x 5,000 ft schema. Continuous breaklines were produced in Esri file geodatabase format. Building footprints were created in Esri file geodatabase format. Ground Conditions: Lidar was partially collected in winter/spring of 2016, 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, Quantum Spatial, Inc. established a total of 7 ground control points that were used to calibrate the lidar to known ground locations established throughout the Georgia Counties project area. An additional 11 independent accuracy checkpoints, 5 in Bare Earth and Urban landcovers (5 NVA points), 6 in Forested, Shrubs, and Tall Weeds categories (6 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 detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. 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 these lidar data was to produce high accuracy 3D hydro-flattened digital elevation models (DEMs) with a 2 foot cell size. These raw lidar point cloud data were used to create classified lidar LAS files, intensity images, 3D breaklines, hydro-flattened DEMs, and building footprints as necessary. Raster File Type = IMG Bit Depth/Pixel Type = 32-bit float Raster Cell Size = 2.0 US Survey Feet Interpolation or Resampling Technique = Triangulated Irregular Network (TIN), Linear Interpolation, Proprietary 20160315 ground condition Complete None planned -84.830467960503 -84.3962153142336 31.6490715594641 31.4155797354472 None Model Raster DEM Remote Sensing Elevation Data Lidar None Georgia Calhoun County No restrictions apply to this 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. Data covers the entire area specified for this project. Datasets contain complete coverage of tiles. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. There are no void areas or missing data. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications. The project specifications require the accuracy (ACCz) of the derived DEM be calculated and reported in two ways: 1. The required NVA 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. This is a required accuracy. The NVA was tested with 5 checkpoints located in bare earth and urban (non-vegetated) areas. 2. Vegetated Vertical Accuracy (VVA): VVA shall be reported for "forested", "shrubs", and "tall weeds" land cover classes. The target VVA is: 29.4 cm at the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for Lidar Data, i.e., based on the 95th percentile error in all vegetated land cover classes combined. This is a target accuracy. The VVA was tested with 6 checkpoints located in forested, shrubs, and tall weeds (vegetated) areas. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. 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. 0.057 Tested 0.057 meters (0.188 feet) 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 5 independent checkpoints located in the Bare Earth and Urban land cover categories. 0.046 Tested 0.046 meters (0.151 feet) VVA was calculated using 6 checkpoints located in the Forested, Shrubs, and Tall Weeds land cover categories at the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for Lidar Data. Tested against the DEM. Hydro Flattened Raster DEM Process: Class 2 (Ground) lidar points in conjunction with the hydro breaklines were used to create a 2 foot hydro-flattened raster DEM. Using automated scripting routines within ArcMap, an ERDAS Imagine .IMG file was created for each tile. Each surface is reviewed using Global Mapper to check for any surface anomalies or incorrect elevations found within the surface. 2016 Raster Pixel 2500 2500 State Plane Coordinate System 1983 1002 0.9999 -84.16666667 30.0 2296583.33333333 0.0 coordinate pair 2 2 survey feet North American Datum of 1983 (2011) Geodetic Reference System 80 6378137.0 298.257222101 North American Vertical Datum of 1988 (GEOID12B) 0.01 feet Explicit elevation coordinate included with horizontal coordinates 20161102 Quantum Spatial Sarah Zibart mailing and physical

523 Wellington Way

Lexington KY 40503 USA 859-277-8700 859-277-8901 szibart@quantumspatial.com Monday through Friday 8:00 AM to 5:00 PM (Eastern Time) If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours. FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 None. None. None. Unclassified NONE