Ayres Associates 20150415 raster data Product: These lidar data are processed Classified LAS 1.2 files, formatted to 5000 ft x 5000 ft tiles; bare earth DTM, DEM, first-return DSM, contours, breaklines, and intensity images as necessary. Geographic Extent: Oneida County, Wisconsin covering approximately 1,236 square miles. Dataset Description: Oneida County, Wisconsin 2013 Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 1.0 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.0. The data was developed based on a horizontal projection/datum of NAD_1983(2011)_WISCRS_Oneida_County_Feet (EPSG code: 7263), and vertical datum of NAVD88 - Geoid12A (Feet). Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.2 files, formatted to 1515 individual 5000 ft x 5000 ft tiles, as tiled Intensity Imagery, and as tiled bare earth DEMs; all tiled to the same 5000 ft x 5000 ft schema. Ground Conditions: Lidar was collected in early 2013, 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 contract task order specifications and meet ASPRS vertical accuracy guidelines, Ayres Associates established ground control points that were used to calibrate the lidar to known ground locations established throughout the Oneida County, Wisconsin project area. Abstract Addendum, USGS National Geospatial Technical Operations Center (NGTOC), data edited October 2018: Data may have been modified from the original, delivered data by the NGTOC to correct issues such as breakline enforcement and hydro-flattening of water bodies, pits and spikes, and to remove edge tinning and other anomalies. End Abstract Addendum. To acquire detailed surface elevation data for use in design, research, floodplain mapping, 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 DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 3.125 foot 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. 20130513 20130516 ground condition Complete None planned -90.048568 -89.040684 45.903119 45.463066 None elevation Lidar Hydrology DEM GRID surface model surface data terrain data bare earth raster digital data 3.125 foot pixel None Wisconsin Oneida 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. Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1 (Build 4959) Service Pack N/A (Build N/A) No formal attribute accuracy tests were conducted. Spatial consistency of coverage of the Oneida County, WI Lidar 2013 project area was maintained throughout the dataset. Spatial consistency of coverage of the Oneida County, WI Lidar 2013 project area was maintained throughout the dataset. A formal accuracy assessment of the horizontal positional information in the data set has not been conducted. Oneida County: Fundamental Vertical Accuracy (FVA) was computed for the point cloud data in order to achieve RMSEz of 12.5cm and 24.5 cm at the 95% confidence level. The FVA survey data was collected in clear and open terrain, referred to as bare earth (low grass, gravel) and urban land cover types in the vertical accuracy report. Vertical accuracy was tested in open terrain using 31 independent survey points, distributed evenly through the project, and used solely for the purpose of assessing vertical accuracy. The computed FVA for this project is 4.75 cm RMSEz and 9.32 cm at 95% confidence level. The Supplemental Vertical Accuracy (SVA) was computed for the point cloud data in order to achieve 36.3 cm, 95th percentile. The SVA survey data was collected in vegetated terrain, referred to tall grass, low tree, and tall tree in the vertical accuracy report. Vertical accuracy was tested in vegetated terrain using 91 independent survey points, distributed evenly through the project, and used solely for the purpose of assessing vertical accuracy. The computed SVA for this project is 29.8 cm, 95th percentile level. The Consolidated Vertical Accuracy (CVA) was computed for the point cloud data in order to achieve 36.3 cm, 95th percentile. The CVA survey data was collected in open and vegetated terrain. All independent check points collected for this project were used to compute CVA. Vertical accuracy was tested in open terrain using 122 independent survey points, distributed evenly through the project, and used solely for the purpose of assessing vertical accuracy. The computed CVA for this project is 24.8 cm, 95th percentile level. LiDAR processing utilizes several software packages, including GeoCue and the TerraSolid suite of processing components. The GeoCue software is a database management system for housing the LiDAR dataset (usually multiple gigabytes in size). GeoCue incorporates a thorough checklist of processing steps and quality assurance/quality control (QA/QC) procedures that assist in the LiDAR workflow. The TerraSolid software suite is used to automate the initial classification of the LiDAR point cloud based on a set of predetermined parameters. Lidar technicians refer to ground cover research (natural and cultural features) within the project area and determine algorithms most suitable for the initial automated LiDAR classification. (Some algorithms/filters recognize the ground in forests well, while others have greater capability in urban areas). During this process each point is given an initial classification (e.g., as ground, vegetation, or noise) based on the point's coordinates and the relation to its neighbors. Classifications to be assigned include all those outlined by ASPRS standards. The initial classifications produce a coarse and inexact dataset, but offer an adequate starting point for the subsequent manual classification procedure. Hydrographic breaklines are extracted using the point cloud to ensure hydroflattened water surfaces. This process involves viewing the point cloud in a metrically sound stereo environment. From this generated "imagery", breaklines are photogrammetrically compiled. Breakline polygons are created to represent open water bodies. Ponded water bodies are differentiated by two sizes; ponds two acres or less in size, and ponds greater than two acres in size. The LiDAR points that fall within these areas are classified as "water." Breaklines representing streams and rivers shall be smooth, continuous, and represent the water surface without any stair steps except for dams and rapids. All hydrographic breaklines include a 1.5 foot buffer, with the points being re-classified as Class 10 (ignored ground). TerraSolid is further used for the subsequent manual classification of the LiDAR points allowing technicians to view the point cloud in a number of ways to ensure accuracy and consistency of points and uniformity of point coverage. 2014 Raster Lambert Conformal Conic 45.70422377027778 -89.54444444444444 45.70422377027778 230000.000 188936.744 coordinate pair 0.01 0.01 survey feet NAD_1983(2011)_WISCRS_Oneida_County_Feet (EPSG code: 7623) Geodetic Reference System 80 6378137.000000 298.257222101 North American Vertical Datum of 1988 - Geoid12B 0.000328 US feet (survey) Explicit elevation coordinate included with horizontal coordinates Oneida County Michael J Romportl Oneida County Land Information Director Mailing

1 S Oneida AVE

PO Box 400

Rhinelander Wisconsin 54501 USA 715-369-6179 lio@co.oneida.wi.us Distributor assumes no liability for misuse of data. 20160727 Ayres Associates Mailing and Physical

5201 E. Terrace Drive

Madison WI 53704 USA 608-443-1200 FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998