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<city>Madison</city>
<adminArea>Wisconsin</adminArea>
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<resTitle>Oneida_County_Bare_Earth_Hillshade</resTitle>
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<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Ayres Associates provided Oneida County, Wisconsin, with lidar based topographic mapping services in 2013-14. The LiDAR data was collected on May 13-16, 2013 using a Leica ALS 70 sensor mounted in a fixed-wing aircraft. LiDAR data was collected to support to support the generation of 2-foot contours to FEMA vertical accuracy standards. The LiDAR data was delivered according to a 5,000 foot x 5,000 foot tile schematic. The LiDAR data was calibrated using information collected at the time of flight from GPS base stations on the ground and airborne GPS/IMU in the aircraft. The calibrated LiDAR data was processed to a classified point cloud, bare earth DTM, DEM, first-return DSM, contours, breaklines, and intensity images. Oneida County is located in north central Wisconsin, and its northeastern corner is 13 miles from the Upper Peninsula of Michigan. The County is characterized by a high concentration of inland freshwater lakes and mixed northern forest. The Wisconsin River flows from north to south through the middle of the county and is dammed in Rhinelander, the county seat. The total project area is 1,236 square miles.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
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<rpIndName>Michael J Romportl</rpIndName>
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<delPoint>1 S Oneida AVE</delPoint>
<city>Rhinelander</city>
<adminArea>Wisconsin</adminArea>
<postCode>54501</postCode>
<country>U.S.A.</country>
<eMailAdd>lio@co.oneida.wi.us</eMailAdd>
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<keyword>Wisconsin</keyword>
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<keyword>surface data</keyword>
<keyword>GRID</keyword>
<keyword>DEM</keyword>
<keyword>surface model</keyword>
<keyword>raster data</keyword>
<keyword>bare earth</keyword>
<keyword>terrain data</keyword>
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<keyword>surface model</keyword>
<keyword>raster data</keyword>
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<idCredit>Oneida County Land Information Office, Ayres Associates, Quantum Spatial (formerly Aero-Metric Inc.)</idCredit>
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<stepDesc>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. The task of the collection of breaklines from lidar data in 3D stereo environment included collecting ponded bodies of water evident in the lidar at time of flight in May 2013. The ponded water defined by the hydro breaklines does not necessarily indicate permanent, year-round presence of water bodies. The hydro break lines are collected to most accurately represent the ground surface for use in the generation of contours and digital elevation models. The hydro break lines are retained in two shapefiles; one for the ponds and another for the streams. In the ponded water breakline shapefile, there is an attribute field that indicates whether the ponds is &gt;2Ac or &lt;2Ac. Hydro break lines that are &lt;2Ac were collected in certain areas where the surface definition was improved by the inclusion of the break line. The LiDAR points that fall within these areas are classified as "water." Breaklines representing streams and rivers shall be smooth, continuous, and monotonic, and represent the water surface without any stair steps except for dams and rapids. All hydrographic breaklines include a 1 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.</stepDesc>
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