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20240917
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20240917
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Ayres Associates
(608) 443-1200
5201 E Terrace Drive, Suite 200
Madison
Wisconsin
53718
U.S.A.
20240815
ArcGIS Metadata
1.0
Vilas County Wisconsin Lidar; Intensity Images
2024-08-15
Ayres Associates
raster digital data
The Vilas County lidar project area covers approximately 1,027 square miles, which is countywide including a buffer around the county boundary. The lidar data was acquired by USGS as part of the 3DEP program at an average nominal point density of 8 points per square meter. Lidar data was acquired in spring 2022. Vilas County procured enhanced and derivative datasets from the USGS lidar. Project specifications are based on Vilas County requirements and on the U.S. Geological Survey National Geospatial Program LiDAR Base Specification, 2021 Revision A. The data was developed based on a horizontal projection/datum of NAD83(HARN) / WISCRS Vilas (ftUS) (EPSG Code: 7399), and vertical datum of NAVD88 - Geoid12B (Feet).
Wisconsin
Vilas County
Vilas County
Model
Raster
DEM
Remote Sensing
Elevation
Lidar
Model
Raster
DEM
Remote Sensing
Elevation
Lidar
Wisconsin
Vilas County
Vilas County
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be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions.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 their limitations. Acknowledgement of the organization providing these data to the public would be appreciated for products derived from these data.
No restrictions apply to these data.
true
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46.30169703
45.85472080
ground conditions
2022-05-04
2022-05-15
Raster File Type = TIFF
Bit Depth/Pixel Type = 32-bit float
Raster Cell Size = 1 foot
Interpolation or Resampling Technique = Triangulated Irregular Network
Required Vertical Accuracy = 9.8 cm NVA
Esri ArcGIS 13.2.0.49743
1
-90.049490
-88.928960
46.301698
45.854720
Last metadata review date: 2024-08-15
None.
None.
Data covers the entire area specified for this project.
Datasets contain complete coverage of tiles. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. There are no void areas or missing data. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications.
This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class.
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 20 (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. The TIN was processed to create a GRID or digital elevation model (DEM) with 1 foot pixels.Intensity Image Generation Processing: GeoCue software was used to create the deliverable intensity images. All withheld points were ignored during this process. This helps to ensure a more aesthetically pleasing image. The GeoCue software was then used to verify full project coverage as well. GeoTIFF files were then provided as the deliverable for this dataset requirement.
2024-08-15
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