Data Management Plan

The Burnett County, Wisconsin WROC project area covers 910 square miles. Lidar data was acquired with a nominal point spacing (NPS) of 1.0 meters. The data was developed based on a horizontal projection/datum of Wisconsin County Reference System (WISCRS) - Burnett County Coordinates; North American Datum 1983 (2011), survey feet, and vertically geo-referenced to the North American Vertical Datum 1988 (Geoid 12A), survey feet. Data were converted to geographic coordinates with ellipsoid heights in meters.

Lidar data was acquired using the Orion Optech H300 sensor. Collection occurred in April 2015 during leaf-off conditinons, while no snow was on the ground and rivers were at or below normal levels. 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 produce a classified point cloud, bare earth DTM, DEM, DSM, contours, breaklines, and intensity images. The Lidar data was delivered according to a 5,000 foot x 5,000 foot tile schematic.

Process Steps:

• 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. During this step, "overlap" points are automatically classified (those originating from neighboring flightlines) using information gathered from the ABGPS and IMU data. Any duplicate points existing from adjacent flightlines are removed during this process. Hydrographic breaklines are collected using LiDARgrammetry to ensure hydroflattened water surfaces. This process involves manipulating the LiDAR data's intensity information to create a metrically sound stereo environment. From this generated "imagery", breaklines are photogrammetrically compiled. Breakline polygons are created to represent open water bodies. The LiDAR points that fall within these areas are classified as "water." All hydrographic breaklines include a 1.5 foot buffer, with the Class 2 (bare earth) 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. A triangulated irregular network (TIN) model was created from the Bare Earth LAS and Deliverable. The TIN was processed to create two-foot contours.
• 2023-12-25 00:00:00 - Data were downloaded from Wisconsin View in LAS format by NOAA and converted to geographic coordinates with ellipsoid heights in meters for ingest into the Digital Coast Data Access Viewer. Data were compressed into the cloud optimized point cloud variant of the LAZ format. (Citation: Wisconsin View Lidar)

Data is available online for bulk or custom downloads

Data is backed up to cloud storage.