Unpublished Material raster digital data Digital Aerial Solutions, LLC None Available None Available This data set is consisting of LiDAR Point Cloud, Classified LiDAR, Digital Elevation Model, Digital Surface Model, and LiDAR Intensity Images which all pieces encompasses a 100 meter buffer around Baker, Columbia, Dixie, Gilchrist, Hamilton, Jefferson, Lafayette, Levy, Madison, Taylor, and Union Counties in Florida area, approximately 2030 Square Miles. Data set Description: This data set was created from LiDAR point cloud LAS swath files and tiled Las files. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. Ground Conditions: water at normal levels; no unusual inundation; no snow; leaf off USGS-NGP Base Lidar Specification v1.2 USGS-NGP Base Lidar Specification v1.2 Leica ALS80-HP Unlimited 0.7 4.0 0.71 2.0 1600 120 40 44.9 335.2 4 0.46 1064 1 0.15 1165 20 National Geodetic Survey (NGS) Geoid 12B 0.643 0.432 95 0.429 95 0.941 74 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 2 Bare earth 7 Low Noise 9 Water 10 Ignored Ground 17 Bridges 18 High Noise The USGS/NGTOC contracted Digital Aerial Solutions, LLC to obtain professional services related to the development of Light Detection and Ranging (LiDAR) data between January 2016 and February 2016. These LiDAR elevation data will be used for conservation planning, design, research, floodplain mapping, wetlands identification, dam safety assessments, hydrologic modeling, and subsidence monitoring. All Lidar data and associated products were acquired, calibrated, and used in the creation of Lidar derived products by Digital Aerial Solutions, LLC. 20151210 0800 20160114 0800 ground condition Complete As needed -88.092703 -79.421787 31.666867 28.823312 None Elevation Data Lidar DEM Intensity Image None Baker Columbia Dixie Gilchrist Hamilton Jefferson Lafayette Levy Madison Taylor Union Florida 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 Gail Dunn mailing and physical address Rolla MO 80225 United States

1400 Independence Road, MS 663

573-308-3756 gdunn@usgs.gov Monday through Friday 8:00 AM to 4:00 PM If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours. USGS/NGTOC 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 Gail Dunn US Geological Survey 573-308-3756 gdunn@usgs.gov None Available Contact US Geological Survey None Available Contact US Geological Survey None Available Contact US Geological Survey Aerial LiDAR data covers the entire 2910 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. Vertical Accuracy of the bare-earth lidar data was assessed and reported in accordance with the ASPRS Positional Accuracy Standards for Digital Geospatial Data; One hundred and sixty-nine (169) surveyed points were measured for the purpose of assessing the accuracy of the SRWMD LiDAR Gaps in North Central FL BAA-FY15 (95 NVA + 74 VVA). Both data sets, Lidar and Digital Elevation Models (DEMs) have been tested for their 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): 0.965 US Survey Ft. Required Non Vegetated Vertical Accuracy (NVA) : 0.643 US Survey Ft 0.429 US Survey Ft This data set was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 0.328 US Survey Ft RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz = 0.219 US Survey Ft, equating to +/-0.429 US Survey Ft at 95% confidence level. 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. 0.367 US Survey Feet 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 10,500 feet MSL; the expected radial horizontal positional error will be RMSEr = 0.367 US Survey Ft. Required Non-Vegetated Vertical Accuracy (NVA) for the Point Cloud: 0.643 US Survey Ft Calculated Non-Vegetated Vertical Accuracy (NVA) for the RAW Point Cloud: 0.432 US Survey Ft Number of Check Points used to calculate the Reported (NVA) for the RAW Point Cloud: 95 Calculated (NVA) of the Classified Point Cloud: 0.429 US Survey Ft Number of Check Points used to calculate the Reported (NVA) for the Classified Point Cloud: 95 Calculated Non-Vegetated Vertical Accuracy (NVA) of the Digital Elevation Model: 0.435 US Survey Ft Number of Check Points used to calculate the Reported (NVA) for the Digital Elevation Model: 95 Required Vegetated Vertical Accuracy (VVA): 0.965 US Survey Ft Calculated (VVA) of the Classified Point Cloud: 0.941 US Survey Ft Number of Check Points used to calculate the Reported (VVA) for the Classified Point Cloud: 74 Calculated (VVA) of the Digital Elevation Model: 0.932 US Survey Ft Number of Check Points used to calculate the Reported (VVA) for the Digital Elevation Model: 74 Unpublished Material raster digital data None Available None Available None Available 0800 Digital Aerial Solutions, LLC 1200 Portable Hard Drive 20160118 0800 20160629 0800 ground condition 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. SRWMD LiDAR Gaps in North Central FL BAA-FY15 Aerial LiDAR Acquisition: Aerial data collection was acquired, in Twelve (12) missions, using the Leica ALS80 SN# 8235 at an altitude of 6,100 feet MSL. 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 & GPS 1200 base stations that occupied temporary monuments in conjunction with CORS stations, Data acquisition started December 10, 2015 and was complete January 14, 2016. Ground Control Survey: A survey was performed to support the acquisition of Light Detection and Ranging (LiDAR). The control network involved a total of 169 check points (95 NVA + 74 VVA). The points were a combination of the following ground cover classification: Bare Earth, Pavement, Sand, High Vegetation, Medium Vegetation, Low Vegetation. All field survey observations were conducted between August 10, 2015 and August 14, 2015 with Leica GPS 1200 equipment. Digital Aerial Solutions, LLC Josh Helton VP/Assistant General Manager mailing and physical address

4027 Crescent Park Drive

Riverview FL 33578 United States 813.628.0788 813.628.0777 jhelton@digitalaerial.com 8:00 - 5:00 20160118 0800 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. Digital Aerial Solutions, LLC Josh Helton VP/Assistant General Manager mailing and physical address

4027 Crescent Park Drive

Riverview FL 33578 United States 813.628.0788 813.628.0777 jhelton@digitalaerial.com 8:00 - 5:00 20160222 0800 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. Digital Aerial Solutions, LLC Josh Helton VP/Assistant General Manager mailing and physical address

4027 Crescent Park Drive

Riverview FL 33578 United States 813.628.0788 813.628.0777 jhelton@digitalaerial.com 8:00 - 5:00 20160229 0800 LiDAR Post-processing: The calibrated and controlled LiDAR swaths were processed using automatic point classification routines in TerraSolid software. These routines operate against the entire collection (all swaths, all lifts), eliminating character differences between files. Data were then distributed as virtual tiles to experienced LiDAR analysts for localized automatic classification, manual editing, and peer-based QC checks. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project. All classification tags are stored in the original swath files. After completion of classification and final QC approval, the NVA and VVA for the project are calculated. Sample areas for each land cover type present in the project were extracted and forwarded to the client, along with the results of the accuracy tests. Upon acceptance, the complete classified LiDAR swath files were delivered to the client. Digital Aerial Solutions, LLC Josh Helton VP/Assistant General Manager mailing and physical address

4027 Crescent Park Drive

Riverview FL 33578 United States 813.628.0788 813.628.0777 jhelton@digitalaerial.com 8:00 - 5:00 20160221 0800 LiDAR Classification: The calibrated LiDAR data went through automated classification routines and then manually edited and checked. The LiDAR point cloud data was classified into the following classes: 1-unclassified*, 2-ground, 7-low noise, 9-water, 10-buffer, 17-bridges, and 18-high noise Digital Aerial Solutions, LLC Josh Helton VP/Assistant General Manager mailing and physical address

4027 Crescent Park Drive

Riverview FL 33578 United States 813.628.0788 813.628.0777 jhelton@digitalaerial.com 8:00 - 5:00 20160108 0800 LiDAR Intensity Imagery Creation: After the finalization of the calibrated and classified LiDAR Point Cloud, Intensity Images where produced from all classified points and are posted to a 2.5 foot cell size GeoTIFF image. Intensity Images where cut to match the provided US Geological Survey Tile Index and have corresponding names to match tile names. Digital Aerial Solutions, LLC Josh Helton VP/Assistant General Manager mailing and physical address

4027 Crescent Park Drive

Riverview FL 33578 United States 813.628.0788 813.628.0777 jhelton@digitalaerial.com 8:00 - 5:00 20160613 0800 Hydro Breaklines: Hydro break lines were compiled in ArcMap using the LiDAR intensity data and surface terrain model of the entire project area. After the collection of hydro lines all features were conflated and validated for monotonicity and vertical variance, to ensure that no points were floating above ground. The hydro break lines were then embeded into the LiDAR surface and used to create a hydro enforced DEM. Digital Aerial Solutions, LLC Josh Helton VP/Assistant General Manager mailing and physical address

4027 Crescent Park Drive

Riverview FL 33578 United States 813.628.0788 813.628.0777 jhelton@digitalaerial.com 8:00 - 5:00 20160620 0800 Bare-Earth DEM Creation: Bare-Earth Digital Elevation Models (DEMs) were derived using the hydro break line and bare-earth (ground) LiDAR points, all DEMs were created with a grid spacing of 5 foot. The DEMs were cut to tiles of 5000 feet x 5000 feet index, provided by the US Geological Survey. Digital Aerial Solutions, LLC Josh Helton VP/Assistant General Manager mailing and physical address

4027 Crescent Park Drive

Riverview FL 33578 United States 813.628.0788 813.628.0777 jhelton@digitalaerial.com 8:00 - 5:00 20160629 0800 0 Raster Pixel 2000 2000 State Plane Coordinate System 1983 FIPS_0903 0.99993333 -87.50000000 30.00000000 600000.00000000 0.00000000 row and column 2.5 2.5 feet North American Datum of 1983 Geodetic Reference System 80 6378137.0 298.257222101 GCS_NAD_1983 NAD_1983_HARN_StatePlane_Florida_North_FIPS_0903_Feet North American Vertical Datum of 1988 (Geoid12B) Explicit elevation coordinate included with horizontal coordinates 1200 feet LiDAR Tiles and associated derived products for SRWMD LiDAR Gaps in North Central FL BAA-FY15 LiDAR Tiles and associated derived products for SRWMD LiDAR Gaps in North Central FL BAA-FY15 US Geological Survey Gail Dunn mailing and physical address

1400 Independence Road, MS 663

Rolla MO 80225 United States 573-308-3756 gdunn@usgs.gov USGS/NGTOC 8:00 am - 5:00 pm 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: Gail Dunn US Geological Survey 573-308-3756 jvinyard@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: Gail Dunn US Geological Survey 573-308-3756 gdunn@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: Gail Dunn US Geological Survey 573-308-3756 gdunn@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: Gail Dunn US Geological Survey 573-308-3756 gdunn@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: Gail Dunn US Geological Survey 573-308-3756 gdunn@usgs.gov 20160629 0800 20160629 20160629 US Geological Survey Gail Dunn mailing and physical address

1400 Independence Road, MS 663

Rolla MO 80225 United States 573-308-3756 gdunn@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. USGS/NGTOC FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 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: Gail Dunn US Geological Survey 573-308-3756 gdunn@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: Gail Dunn US Geological Survey 573-308-3756 gdunn@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: Gail Dunn US Geological Survey 573-308-3756 gdunn@usgs.gov 20160629 local time