Digital Aerial Solutions, LLC Unpublished Material .LAS Lidar format None Available None Available The RAW Swaths data set consists of individual Raw Point Clouds of each mission flown for this project. Each file contains LiDAR point information, which has been calibrated and controlled. Each file represents a separate swath of LiDAR. The Geographical Extent of this dataset extends to a 100 meter buffer around NRCS South Dakota - QL2 LiDAR boundary, approximately 4149 square miles. Ground Conditions: water at normal levels; no unusual inundation; no snow; leaf off How the Withheld Points are Identified: Withheld (ignore) points were identified in the files using the standard LAS Withheld bit. Class Code: 1 Class Item: Undetermined/Unclassified The USGS/NGTOC and NRCS contracted Digital Aerial Solutions, LLC to obtain professional services related to the planning, acquisition and development of Light Detection and Ranging (Lidar) data and derivative products. The task order is for a QL2 Lidar survey to be collected over South Dakota, Harding and Perkins counties in SD. The deliverable products would be used by the USGS/NGTOC and NRCS for conservation planning, design, research, floodplain mapping, wetlands identification, dam safety assessments, hydrologic modeling, and other environmental purposes. All Lidar data and associated products were acquired, calibrated, and used in the creation of Lidar derived products by Digital Aerial Solutions, LLC. USGS-NGP Base Lidar Specification v1.2 Leica ALS80-UP SN# 8253 Unlimited 0.48 4.40 0.48 4.40 1353 155 45 48.8 392.8 4 0.35 1064 1 0.15 1120.74 12.36 National Geodetic Survey (NGS) Geoid 12B 0.196 0.076 130 0.068 130 0.167 119 1.4 6 Withheld (ignore) points were identified in the files using the standard LAS Withheld bit. Swath “overage” points were identified in these files using the standard LAS overlap bit. 16 1 Undetermined/Unclassified 20170504 20170614 ground condition Complete As needed -103.564714 -103.525575 45.594518 45.567034 None Elevation Data Lidar Hydrology DEM Intensity Image None South Dakota Harding Perkins SD No restrictions apply to this data the data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of the data collection. As such, it is only valid for its intended use, content, time, and accuracy specifications. The user is responsible for the results of any application of the data for other than its intended purpose. None. However, users should be aware that temporal changes may have occurred since this data set 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 the limitations of the data. Acknowledgment of the US Geological Survey would be appreciated for products derived from these data.The data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of the data collection. As such, it is only valid for its intended use, content, time, and accuracy specifications. The user is responsible for the results of any application of the data for other than its intended purpose. US Geological Survey Dan Vincent USGS/NGTOC mailing and physical address

1400 Independence Road, MS 664

Rolla MO 65401 United States 573-308-3689 573-308-3810 dvinc@usgs.gov Monday through Friday 8:00 AM to 5:00 PM If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours. Dan Vincent US Geological Survey 573-308-3689 dvinc@usgs.gov None Available Contact US Geological Survey None Available Contact US Geological Survey None Available Contact US Geological Survey Inertial Explorer ver: 8.6; Leica CloudPro Ver:1.2.1; GeoCue Ver: 2014.1.21.4; Microstation V8i; Terresolid ver: 2015; LP360 ver: 2014.1.51.1; Arcmap ver: 10.4; Global Mapper ver: 16 Required Non-Vegetated Vertical Accuracy (NVA) for the Point Cloud: 0.196 Meters Calculated Non-Vegetated Vertical Accuracy (NVA) for the RAW Point Cloud: 0.076 Meters Number of Check Points used to calculate the Reported (NVA) for the RAW Point Cloud: 130 Calculated Non-Vegetated Vertical Accuracy (NVA) of the Classified Point Cloud: 0.068 Meters Number of Check Points used to calculate the Reported (NVA) for the Classified Point Cloud: 130 Calculated Non-Vegetated Vertical Accuracy (NVA) of the Digital Elevation Model: 0.069 Meters Number of Check Points used to calculate the Reported (NVA) for the Digital Elevation Model: 130 Required Vegetated Vertical Accuracy (VVA): 0.294 Meters Calculated (VVA) of the Classified Point Cloud: 0.167 Meters Number of Check Points used to calculate the Reported (VVA) for the Classified Point Cloud: 119 Calculated (VVA) of the Digital Elevation Model: 0.168 Meters Number of Check Points used to calculate the Reported (VVA) for the Digital Elevation Model: 119 Aerial LiDAR data covers the entire 4149 square mile Area of Interest intended for this project task. All LiDAR Point Cloud tiles show no edge artifacts or mismatches from tile to tile. Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique “NODATA” value. This value is identified in the appropriate location within the file header. Data cover the entire area specified for this project. The raw LAS data files included 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 Fundamental Vertical Accuracy specifications. Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique “NODATA” value. This value is identified in the appropriate location within the file header. Horizontal error in lidar derived elevation data is largely a function of positional error as derived from the Global Navigation Satellite System (GNSS), attitude (angular orientation) error (as derived from the INS) and flying altitude; and can be estimated based on these parameters. 11.2 cm As described in Section 7.5 of the ASPRS Positional Accuracy Standards for Digital Geospatial Data the horizontal errors in lidar data are largely a function of GNSS positional error, INS angular error, and flying altitude. Therefore lidar data collected with GNSS error of 0.05m and the IMU error of 0.03492 degrees at an altitude of 1,600 meters; the expected radial horizontal positional error will be RMSEr = 11.2cm. Vertical Accuracy of the bare-earth lidar data was assessed and reported in accordance with the ASPRS Positional Accuracy Standards for Digital Geospatial Data; Two hundred Forty-Nine (249) surveyed points were measured for the purpose of assessing the accuracy of the NRCS South Dakota - QL2 LiDAR data (130 NVA + 119 VVA). Both data sets, Lidar and Digital Elevation Models (DEMs) have been tested for there individual vertical accuracy levels. The Lidar was tested by using interpolation while the DEMs where tested by extracting the elevation of a pixel containing the checkpoint. All DEM Vertical accuracy results are reported in the DEM Metadata reports while this project wide Metadata file is reporting the vertical accuracy results from the the source Lidar. Required Vegetated Vertical Accuracy (VVA): 0.196 Meters. Required Non Vegetated Vertical Accuracy (NVA) : 0.294 Meters 0.076 Tested 0.076 meters NVA at 95% confidence level using RSME(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 fromt he final calibrated and controlled swath data using 130 independent checkpoints located in Bare Earth land cover class. 0.068 Tested 0.068 meters NVA at 95% confidence level using RSME(z) x 1.9600 as defined by the National Standards for spatial Data Accuracy (NSSDA). The NVA of the DEM calculated against TINs derived fromt he final calibrated and controlled swath data using 130 independent checkpoints located in Bare Earth land cover class. 0.168 Tested 0.168 meters VVA was calculated using 119 checkpoints located in the Brushlands and Low Trees and Tall Weeds and Crops land cover categories athe the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for LiDAR Data. Tested against the DEM. Digital Aerial Solutions, LLC Unpublished Material 0800 .LAS Lidar format None AvailableNone Available None Available Portable Hard Drive 20170504 20170614 ground condition NRCS South Dakota - QL2 LiDAR This data source was used (along with the airborne GPS/IMU Data) to georeferencing of the lidar point cloud data used to create all contracted Lidar derived products. Version of the LAS Standard 1.4 / point data record format 6. Aerial LiDAR Acquisition: Aerial data collection was acquired, in Twenty (20) missions, using the Leica ALS80 SN# 8235 at an altitude of 4,438 feet AGL. This was to support a 4.0 ppm^2 LiDAR point cloud. Airborne GPS and IMU data was collected during the acquisition and supported by Leica GS15 and GPS 1200 base stations that occupied temporary monuments in conjunction with CORS stations, Data acquisition started May 04, 2017 and it was completed June 11, 2017 . Ground Control Survey: A survey was performed to support the acquisition of Light Detection and Ranging (LiDAR). The control network involved a total of 249 check points (130 NVA and 119 VVA). The points were a combination of the following ground cover classification: Open Terrain, Urban Terrain, Bare Earth, High Grass, and Low Trees. All field survey observations were conducted between April 29, 2017 and it was completed May 10, 2017 with Leica GPS GS15 and 1200 equipment. 20170611 Digital Aerial Solutions, LLC Josh Helton VP/Assistant General Manager mailing and physical address

4027-A Crescent Park Drive

Riverview FL 33578 United States 813-628-0788 813-628-0777 jhelton@digitalaerial.com Monday through Friday 8:00 AM to 4:00 PM (Eastern Time) If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours. LiDAR Pre-processing: Airborne GPS and IMU data were merged to develop a Smooth Best Estimate of Trajectory (SBET) of the LiDAR system for each mission. LiDAR ranging data were initially calibrated using previous best parameters for this instrument and aircraft. Relative calibration was evaluated using advanced plane-matching analysis and parameter corrections derived. This process was repeated interactively until residual errors between overlapping swaths, across all project lifts, was reduced to 2 cm or less. Raw data NVA were checked using surveyed check points. 20170614 Digital Aerial Solutions, LLC Josh Helton VP/Assistant General Manager mailing and physical address

4027-A Crescent Park Drive

Riverview FL 33578 United States 813-628-0788 813-628-0777 jhelton@digitalaerial.com Monday through Friday 8:00 AM to 4:00 PM (Eastern Time) If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours. RAW Data Processing: The Initial processing of the GPS data was processed using Inertial Explorer producing a solution file for each mission. Leica CloudPro software was then used to generate georeferenced laser returns into LAS 1.2 file format for each flight-line per each mission, this went through an initial Quality Control of the overlap between the flight-line swaths. 20170614 Digital Aerial Solutions, LLC Josh Helton VP/Assistant General Manager mailing and physical address

4027-A Crescent Park Drive

Riverview FL 33578 United States 813-628-0788 813-628-0777 jhelton@digitalaerial.com Monday through Friday 8:00 AM to 4:00 PM (Eastern Time) If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours. 0 Point Point Universal Transverse Mercator 13N 0.99960000 -105.00000000 0.00000000 500000.00000000 0.00000000 Coordinate Pair 0.01 0.01 meters NAD83, National Spatial Reference System 2011 Geodetic Reference System 80 6378137.000000 298.257222101 North American Vertical Datum of 1988 (Geoid12B) 0.001 meters Explicit elevation coordinate included with horizontal coordinates LiDAR Tiles and associated derived products for NRCS South Dakota - QL2 LiDAR Tiles and associated derived products for NRCS South Dakota - QL2 US Geological Survey Dan Vincent USGS/NGTOC mailing and physical address

1400 Independence Road, MS 664

Rolla MO 65401 United States 573-308-3689 573-308-3810 dvinc@usgs.gov Monday through Friday 8:00 AM to 5:00 PM If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours. No formal constraints although the present data set does belong to USGS/NGTOC and more information can be obtained by contacting US Geological Survey at: Dan Vincent US Geological Survey 573-308-3689 dvinc@usgs.gov The data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of data collection. As such, it is only valid for its intended use, content, time, and accuracy specifications. The user is responsible for the results of any application of the data for other than its intended purpose. No formal constraints although the present data set does belong to USGS/NGTOC and more information can be obtained by contacting US Geological Survey at: Dan Vincent US Geological Survey 573-308-3689 dvinc@usgs.gov Contact US Geological Survey No formal constraints although the present data set does belong to USGS/NGTOC and more information can be obtained by contacting US Geological Survey at: Dan Vincent US Geological Survey 573-308-3689 dvinc@usgs.gov Contact US Geological Survey No formal constraints although the present data set does belong to USGS/NGTOC and more information can be obtained by contacting US Geological Survey at: Dan Vincent US Geological Survey 573-308-3689 dvinc@usgs.gov No formal constraints although the present data set does belong to USGS/NGTOC and more information can be obtained by contacting US Geological Survey at: Dan Vincent US Geological Survey 573-308-3689 dvinc@usgs.gov 20170614 20170614 20170614 20170614 US Geological Survey Dan Vincent USGS/NGTOC mailing and physical address

1400 Independence Road, MS 664

Rolla MO 65401 United States 573-308-3689 573-308-3810 dvinc@usgs.gov Monday through Friday 8:00 AM to 5:00 PM If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours. FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time No formal constraints although the present data set does belong to USGS/NGTOC and more information can be obtained by contacting US Geological Survey at: Dan Vincent US Geological Survey 573-308-3689 dvinc@usgs.gov No formal constraints although the present data set does belong to USGS/NGTOC and more information can be obtained by contacting US Geological Survey at: Dan Vincent US Geological Survey 573-308-3689 dvinc@usgs.gov None Unclassified No formal constraints although the present data set does belong to USGS/NGTOC and more information can be obtained by contacting US Geological Survey at: Dan Vincent US Geological Survey 573-308-3689 dvinc@usgs.gov