Woolpert, Inc 20171231 Project Level WI Dodge County Lidar 2017 B17 Data Acquisition and Processing Production Task USGS Contract No. G16PC00022 Task Order No. G17PD00370 Woolpert Order No. 77511 CONTRACTOR: Woolpert, Inc. This task is for a high resolution data set of lidar covering approximately ±907 square miles of Dodge County along with a 100-meter buffer zone outside the county for the lidar data. The lidar data was acquired and processed in compliance with U.S. Geological Survey National Geospatial Program Lidar Base Specification version 1.2. Lidar at a nominal pulse spacing (NPS) of 0.7 meters. Data is a remotely sensed high resolution elevation data collected by an airborne platform. The lidar sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The lidar systems collect data point clouds used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. WI Dodge County Lidar 2017 B17 task order was processed and delivered in NAD 1983 2011 WISCRS Dodge and Jefferson Feet. Final products include; LAS swath data, classified LAS tiles, raster DEMs of the bare-earth surface in IMG and ArcGrid format, and 8-bit gray scale intensity images. Tiled deliverable products conform to a 4,500 ft x 4,500 ft tiling. Each LAS file contains lidar point information, which has been calibrated and controlled. Additionally, each tiled LAS file was classified per task order requirements. Final deliverables also include hydrologic breakline data, survey control and checkpoint data, bridge abutment breaklines, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format, and a project tile index all provided in Esri format. Ground conditions: Lidar was collected in April of 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, Woolpert established a total of 15 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. Additional independent accuracy checkpoints were collected (58 NVA points and 48 VVA points) and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. The Dodge County Wisconsin QL2 Lidar 2017 project was collected in April 2017. The lidar data will deliver benefits and provide transformational data necessary to gain a better understanding of current topographic conditions within the 907 square mile county. This high-resolution QL2 lidar dataset addresses several state functional activites including: flood-risk management, infrastructure and construction management, urban and regional planning, natural resources conservation, water supply and quality, cultural resources preservation and management, wildlife habitat management, renewable energy resources, resource mining, agriculture and precision farming, and telecommunications. USGS Contract No. G16PC00022 CONTRACTOR: Woolpert, Inc. USGS NGP Lidar Base Specifications v1.2 Leica ALS70_HP 4 0.7 2.0 0.7 2.0 1500 150 50 25.8 177.4 9 2.7 1064 1 0.34 1399 33.36 NAD 1983 2011 WISCRS Dodge and Jefferson US Feet GEOID12B 0.273 0.084 58 0.080 58 0.248 48 1.4 6 Geometrically unreliable points were identified using a combination of automated and manual techniques and subsequently classified as high or low noise and given the standard Withheld bit. Swath "overage" points were identified in these files using the standard LAS overlap bit. 16 1 Processed, but unclassified 2 Bare earth 7 Low Noise 9 Water 10 Ignored Ground 17 Bridge Decks 18 High Noise 20170412 20170414 20170415 20170417 20170423 ground condition Complete None planned -89.011948644 -88.398340438 43.634264032 43.193717273 None Lidar Project Level None United States Wisconsin Dodge County No restrictions apply to these 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. The lidar data is visually inspected for completeness to ensure that are no void areas or missing data. LAS data covering the DodgeCo_WI_Lidar_2017 Lidar Task Order was compared to independent survey control points to determine the NVA of the LAS Swath and of the Bare-Earth DEM. In addition, this LAS data was compared to independent VVA points. LAS Swath Non-Vegetated Vertical Accuracy (NVA) Tested 0.080 Meters Non vegetated vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.041 Meters (RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. Bare-Earth DEM Non-Vegetated Vertical Accuracy (NVA) Tested 0.088 Meters Non vegetated vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.045 Meters (RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. 0.084 Meters Raw Swath Non-Vegetated Vertical Accuracy (NVA) Tested 0.084 Meters Non vegetated vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using (RMSEz) 0.043 x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the TIN using all lidar points against 58 NVA points. 0.088 Meters Bare-Earth DEM Non-Vegetated Vertical Accuracy (NVA) Tested 0.088 Meters Non-Vegetated vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using (RMSEz) 0.045 x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the DEM against 58 NVA points. 0.248 Meters Vegetated Vertical Accuracy (VVA) Tested 0.248 Meters at the 95th percentile reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the DEM against 48 VVA points. VVA Errors larger than 95th percentile include: Point 3004, Easting 925031.983, Northing 771142.328, Z-Error 0.259 Meters Woolpert 20171231 Dayton, OH Woolpert Inc. Lidar dataset 20170412 ground condition WI Dodge County Lidar 2017 B17 This data set is the project specified acquired point cloud data. Woolpert 20171231 Dayton, OH Woolpert Inc. Control dataset 20170518 ground condition WI Dodge County Lidar 2017 B17 This data set is the project specified acquired ground control and QAQC control data. Woolpert Inc 20171231 Dayton, OH Woolpert Inc Lidar dataset 20170412 ground condition WI Dodge County Lidar 2017 B17 This data set is the project specified lidar deliverables. Woolpert Inc 20171231 Dayton, OH Woolpert Inc 3-d breakline dataset 20170412 ground condition WI Dodge County Lidar 2017 B17 This data set is the project specified hydrologic breakline deliverable. Woolpert 2011231 Dayton, OH Woolpert Inc vector dataset 20170412 ground condition WI Dodge County Lidar 2017 B17 This data set is the project specified tile index and data extent. For each lift-Trajectory data was processed utilizing a tightly coupled GPS-IMU methodology with reference to both CORS and ground stations. Point cloud data was generated from the digitized waveforms collected by the Leica ALS70 500 kHz Multiple Pulses in Air (MPiA) lidar sensors then combined with the final trajectory in reference to NAD 1983 2011 WISCRS Dodge and Jefferson Feet. This projection was used in the generation of delivery. Heights were reduced to orthometric values through the application of GEOID12B undulation values to approximate NAVD88 elevations. Point cloud data was reviewed for coverage of project area and collected density verified. WI Dodge County Lidar 2017 B17; Lidar Acquistion 20170412 Woolpert field crews utilized two Trimble Navigation R8 Model 3 series dual frequency GPS receivers, and one Trimble Navigation R8 Model 2 series receiver. Using NGS station BURNETT W GPS as a base station, RTK observations were performed on all LiDAR control and LiDAR quality control points in order to collect data efficiently and accurately. The survey was conducted using a 1-second epoch rate, in a fixed solution RTK mode, with each observation lasting 180 seconds. Each station was occupied twice to ensure the necessary horizontal and vertical accuracies were being met for this project. RTK surveys were performed where cellular phone coverage was available and where baseline distance accuracy was maintained. WI Dodge County Lidar 2017 B17 ground control and QAQC control Acquisition 20170518 The individual flight lines were inspected to ensure the systematic and residual errors have been identified and removed. Then, the flight lines were compared to adjacent flight lines for any mismatches to obtain a homogenous coverage throughout the project area. The point cloud underwent a classification process to determine bare-earth points and non-ground points utilizing "first and only" as well as "last of many" lidar returns. This process determined Default (Class 1), Ground (Class 2), Low Noise (Class 7), Water (Class 9), Ignored Ground (Class 10), Bridge Decks (Class 17) and High Noise (Class 18). The bare-earth (Class 2 - Ground) lidar points underwent a manual QA/QC step to verify the quality of the DEM as well as a peer-based QC review. This included a review of the DEM surface to remove artifacts and ensure topographic quality. Classification of water (class 9) and ignored ground (class 10) was completed via the use of the hydrologic breaklines collected for the hydro-flattening phase. Buildings (Class 6) was achieved via the used of digitized building footprints. The overlap classes were determined by first identifying the overlapping areas and reclassifying the LAS data by offset from a corridor. This allows the returns located on the edge of the swath to be removed from the bare earth coverage in an effort to produce a more uniform data density. The returns determined to be overlap including overlap default, ground, water, and ignored ground are then applied an overlap flag and reclassified to their respective standard classification value. The surveyed ground control points are used to make vertical adjustments to the data set and to perform the accuracy checks and statistical analysis of the lidar dataset. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project area. The resulting deliverables for this task order consist of classified LAS file in LAS 1.4 format, DEM files in ERDAS IMG format and ArcGrid format, 8-bit gray scale Intensity files in GeoTIFF format, Hydrologic and Bridge abutment breakline data in ESRI geodatabase format. WI Dodge County Lidar 2017 B17; Lidar deliverable processing 20170412 The compilation procedure included use of lidar intensity, bare earth surface model, point cloud data, and open source imagery in an effort to manually compile hydrologic features in a 2-d environment. Following the compilation phase, a separate process was used to adjust the breakline data to best match the water level at the time of the lidar collection. Any ponds and/or lakes were adjusted to be at or just below the bank and to be at a constant elevation. Any streams were adjusted to be at or just below the bank and to be monotonic. Manual QAQC and peer-based QC review was performed on all delineated data to ensure horizontal placement quality and on all adjusted data to ensure vertical placement quality. Bridge breaklines were also compiled in efforts to generate an accurate DEM product. The final hydrologic and bridge breakline product was delivered in shapefile format and was also used in the processing of the DEM deliverable. WI Dodge County Lidar 2017 B17, Breakline Deliverable Processing 20170412 Tile Size: 4,500ft x 4,500ft. The tile file name was derived from the southwest corner of each tile. WI Dodge County Lidar 2017 B17; Tile Index and Data Extent 20170412 Point NAD 1983 2011 WISCRS Dodge and Jefferson Feet (ESRI Full Name: NAD_1983_2011_WISCRS_Dodge_and_Jefferson_Feet) 1.0000346418 -88.775 41.47222222222222 863999.999 0.025 coordinate pair 0.01 0.01 Foot_US D_NAD_1983_2011 GRS_1980 6378137.0 298.257222101 North American Vertical Datum of 1988 0.01 Foot_US Explicit elevation coordinate included with horizontal coordinates USGS/NGTOC mailing and physical address

1400 Independence Rd.

Rolla MO 65401 USA (573) 308-3587 Unknown Unknown The information contained in these data is dynamic and may change over time. The data are not better than the original sources from which they were derived. It is the responsibility of the data user to use the data appropriately and within the limitations of the data for which it was requested and prepared, in general, and these data in particular. The related graphics are intended to aid the data user in acquiring relevant data. It is not appropriate to use the related graphics as data. Woolpert gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. It is strongly recommended that these data are directly acquired from a Woolpert server, and not indirectly through other sources which may have changed the data in some way. Although these data have been processed successfully upon Woolpert’s computer system, no warranty, expressed or implied, is made regarding the utility of the data on another system, or for general or scientific purposes; nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual use of the data and aggregate use with other data. 20171231 Woolpert, Inc. mailing and physical

4454 Idea Center Blvd

Dayton OH 45430 USA (937)461-5660 FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998