Woolpert, Inc 20171231 Lidar point cloud Product: These lidar data are processed Classified LAS 1.4 files, formatted to 1351 individual 4,500’ x 4,500’ tiles; used to create intensity images, 3D breaklines and hydro-flattened DEMs as necessary. Geographic Extent: The AOI is covering approximately ±907 square miles of Dodge County along with a 100-foot buffer zone outside the county for the lidar data. Dataset Description: N WI Dodge County Lidar 2017 B17 Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.70 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Lidar Base Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD 1983 2011 WISCRS Dodge and Jefferson Survey Feet and vertical datum of NAVD88 (GEOID12B), Survey Feet. Lidar data was delivered as; flightline-extent raw LAS v1.4 swaths, classified point cloud LAS v1.4 files formatted to 1351 individual 4,500’ x 4,500’ tiles in NAD 1983 2011 WISCRS Dodge and Jefferson Survey Feet. Derivatives were produced as tiled; Bare Earth Surface DEMs, Intensity Images; all tiled to the same 4,500’ x 4,500’ schema. 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 20170423 ground condition Complete None planned -89.011948644 -88.398340438 43.634264032 43.193717273 None LAS Point Cloud Elevation data Lidar 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. These LAS data files include 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 Non-Vegetated Vertical Accuracy specifications. 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 Classified LAS Processing: Classification Filters were applied to aid in the definition of terrain characteristics and to maintain ground. Filtering processes address aspects of the data such as; ground points, noise points, air points, low points, manmade features, vegetation, and overlap points. The Bare Earth surface was manually reviewed to ensure correct classification of Class 2 (Ground). Upon completion of bare earth review hydro-breaklines were generated through heads-up digitization. Ground (Class 2) Lidar points inside Inland Ponds and Lakes, and Inland Streams and Rivers were classified to Water (Class 9). A buffer of 2.3 feet was used around each hydro-flattened feature to classify Ground points (Class 2) to Ignored ground (Class 10). Island features were checked to ensure that Ground point (Class 2) remained classified as Ground. Ground points (Class 2) within 2.3 feet of breaklines, used to reduce triangulation between bridge decks were also classified to Ignored ground (Class 10). All bridge decks were classified to Bridge (Class 17). All remaining Points were filtered , or manually classified to their respective Point Classification; Processed (Class 1), Low Noise (Class 7), High Noise (Class 18) Overlap data was identified using the Overlap Flag, LAS 1.4 specifications. All data was manually reviewed and any remaining artifacts removed. 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. 20170412 Point 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

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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

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