Quantum Spatial, Inc. 20180605 Raster Digital Data Product: These are Digital Elevation Model (DEM) data for counties within the UTM 15 portion of the Oklahoma 2016 Lidar project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 1-meter hydro-flattened raster DEM. Geographic Extent: Twelve counties in Eastern Oklahoma, covering approximately 8,606 total square miles, including five counties partially covering approximately 410 square miles in the City of Tulsa AOI. Please note that the entire project area covers UTM Zones 14 and 15 and encompasses 14,869 square miles across 23 counties in the State of Oklahoma. Dataset Description: Oklahoma 2016 Lidar project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 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 eastern AOIs were developed based on a horizontal projection/datum of NAD83 (2011), UTM Zone 15, meters and vertical datum of NAVD88 (GEOID12B), meters. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files formatted to 9890 individual 1500 x 1500 m UTM 15 tiles at QL2, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same schema. For the City of Tulsa, processed Classified LAS 1.4 files were formatted to 2164 individual 750 x 750 m UTM 15 tiles at QL1. Continuous breaklines were produced in Esri file geodatabase format. Building footprints were created in Esri file geodatabase format. Ground Conditions: Lidar was collected between December 2016 and April 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, Quantum Spatial, Inc. established a total of 369 ground control points that were used to calibrate the lidar to known ground locations established throughout the Oklahoma project area. An additional 458 independent accuracy checkpoints, 271 in Bare Earth and Urban landcovers (271 raw NVA points, 270 NVA points), 187 in Forested, Brushland/Trees, and Tall Weeds/Crops categories (187 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 1-meter cell size. These raw lidar point cloud data were used to create classified lidar LAS files, intensity images, 3D breaklines, and hydro-flattened DEMs as necessary. Raster File Type = TIFF Bit Depth/Pixel Type = 32-bit float Raster Cell Size = 1.0 Meters Interpolation or Resampling Technique = Triangulated Irregular Network (TIN), Linear Interpolation, Proprietary 20161213 20170417 ground condition Complete None planned -97.091445 -94.784343 37.053909 33.975886 None Model Raster DEM Remote Sensing Elevation Data Lidar None Oklahoma Kay County Osage County Tulsa County Wagoner County Muskogee County McIntosh County Haskell County Pittsburg County Atoka County Pushmataha County Chocktaw County Sequoya 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. These raw LAS and LAS data files include all data points collected. No points have been removed or excluded. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications. Datasets contain complete coverage of tiles. A visual qualitative assessment was performed to ensure data completeness. There are no void areas or missing data. All files are inspected to ensure that they conform to the specified file naming conventions, all files load in their correct geographic position, all files conform to the project specifications for file standard and content. 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 Raw Swath NVA was tested with 271 checkpoints located in bare earth and urban (non-vegetated) areas. These checkpoints 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 checkpoint. 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. 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 Bare Earth DEM NVA was tested with 270 checkpoints located in bare earth and urban (non-vegetated) areas; the 2. Vegetated Vertical Accuracy (VVA): VVA is be reported for "forested", "brushland/trees", and "tall weeds/crops" 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 187 checkpoints located in forested, brushland/trees, and tall weeds/crops (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. 0.092 Tested 0.092 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 271 independent checkpoints located in Bare Earth and Urban land cover classes. 0.093 Tested 0.093 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 270 independent checkpoints located in the Bare Earth and Urban land cover categories. 0.185 Tested 0.185 meters VVA was calculated using 187 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 Processing: Class 2 (Ground) LiDAR points in conjunction with the hydro-breaklines were used to create a 1-meter 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. 2017 Raster pixel 1500 1500 Universal Transverse Mercator 15 0.9996 -93.0 0.0 500000.0 0.0 coordinate pair 1.0 1.0 meters North American Datum of 1983 (2011) Geodetic Reference System 80 6378137.0 298.257222101 North American Vertical Datum of 1988 (GEOID12B) 0.01 meters Explicit elevation coordinate included with horizontal coordinates Chris Stoner USDA - Natural Resources Conservation Service (NRCS), Oklahoma NRCS State Conservation Engineer mailing and physical address

224 N. Orchard

Stillwater OK 74074 USA 405-742-1260 Chris.Stoner@ok.usda.gov The NRCS distributes data directly to program partners. Public access to the data is available from the USGS. In no event shall the creators, custodians, or distributors of these data be liable for any damages arising out of its use, or from the inability of the customer to use these data for their intended application. Jennifer Knecht Federal Emergency Management Agency (FEMA) Region VI FEMA Regional Flood Map Geospatial Lead mailing and physical address

800 North Loop 288

Denton TX 76209 USA 940-898-5553 Jennifer.Knecht@fema.dhs.gov FEMA distributes data directly to program partners. Public access to the data is available from the USGS. In no event shall the creators, custodians, or distributors of these data be liable for any damages arising out of its use, or from the inability of the customer to use these data for their intended application. Edgar Mersiovsky Arkansas United States Department of Agriculture (USDA) State Soil Scientist mailing and physical address

USDA - Natural Resources Conservation Service

Room 3416 Federal Building

700 West Capitol Avenue

Little Rock AR 72201-3225 USA 501-301-3161 edgar.mersiovsky@ar.usda.gov The Arkasas USDA distributes data directly to program partners. Public access to the data is available from the USGS. In no event shall the creators, custodians, or distributors of these data be liable for any damages arising out of its use, or from the inability of the customer to use these data for their intended application. 20180605 Quantum Spatial mailing and physical

523 Wellington Way

Lexington KY 40503 USA 859-277-8700 859-277-8901 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