20210922
11322200
1.0
FALSE
DSM_2013
295000.000000
585000.000000
80000.000000
250000.000000
1
Projected
GCS_North_American_1983_HARN
Linear Unit: Foot_US (0.304801)
NAD_1983_HARN_WISCRS_Vilas_County_Feet
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.2.0'><WKT>PROJCS["NAD_1983_HARN_WISCRS_Vilas_County_Feet",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",441000.0],PARAMETER["False_Northing",165147.666],PARAMETER["Central_Meridian",-89.48888888888889],PARAMETER["Standard_Parallel_1",46.07784409055556],PARAMETER["Scale_Factor",1.0000730142],PARAMETER["Latitude_Of_Origin",46.07784409055556],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",8110]]</WKT><XOrigin>-118852300</XOrigin><YOrigin>-98938800</YOrigin><XYScale>37752326.638381995</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>103463</WKID><LatestWKID>8110</LatestWKID></ProjectedCoordinateSystem>
32
FALSE
None
1
AMD
TRUE
continuous
floating point
4100
15000
1000
20
2048
20
75
0.01
10
600
300
Basic
1
NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
None,JPEG,LZ77,LERC
None
None,Basic,Base-Top Height,Top-Top Shadow Height,Base-Top Shadow Height,3D
-1
-1
0.8
1
NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
None,JPEG,LZ77,LERC
None,Basic,Full
NONE
name,minps,maxps,lowps,highps,tag,groupname,productname,centerx,centery,zorder,st_area(shape),st_length(shape),Thumbnail
37968.75
3.125
759.375
<_docversion_ Sync="TRUE">9
20240925
11015400
20240925
11015400
Ayres Associates
(608) 443-1200
(608) 443-1250
5201 E Terrace Dr, Suite 200
Madison
Wisconsin
53718
U.S.A.
20140317
ArcGIS Metadata
1.0
Vilas_County_DSM
Ayres Associates
raster digital data
Ayres Associates provided Vilas County, Wisconsin, with lidar based topographic mapping services in 2013-14. The LiDAR data was collected on May 13-17, 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, DSM, contours, breaklines, and intensity images. Vilas County is located in north central Wisconsin and is bordered by the Upper Peninsula of Michigan along its northern boundary. The County is characterized by a high concentration of inland freshwater lakes and mixed northern forest. The confluence of the Eagle River and Wisconsin River is in the city of Eagle River, which is the county seat. The total project area is 1017 square miles.
The DSM is a digital elevation model derived from the first return points and the breaklines.
Barb Gibson
GIS Coordinator/LIO
715-479-3655
715-479-3605
330 Court St
Eagle River
Wisconsin
54521
U.S.A.
Vilas
County
Wisconsin
DEM
GRID
surface model
surface data
terrain data
bare earth
raster data
3.125-foot pixel
Vilas
County
Wisconsin
DEM
GRID
surface model
surface data
terrain data
bare earth
raster data
3.125-foot pixel
To be determined by client.
To be determined by client.
ESRI ArcCatalog 9.3.1.3000
ground condition
2013-05-13
2013-05-17
1
-90.066549
-88.919142
46.310502
45.842926
None
Each pixel in the ESRI GRID contains a value representing relative elevation. Each pixel represents a 3.125-foot by 3.125-foot area.
The digital elevation model covers all of the project area with no gaps or omissions.
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." 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 1.5 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.
The DSM is a digital elevation model derived using the first return points and the breaklines.
LiDAR Acquisition 2013, County of Vilas
FID
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
Shape
Feature geometry.
ESRI
Coordinates defining the features.
LAYER
ELEVATION
CLASS
INTENSITY
SCAN_ANGLE
RETURN_CNT
RETURN_NUM
GPS_TIME
SOURCE_ID
EPSG
9.1(10.7.0)
2
1
0
295000.000000 80000.000000
295000.000000 250000.000000
585000.000000 250000.000000
585000.000000 80000.000000
440000.000000 165000.000000
92800
3.125000
54400
3.125000
Band_1
4433.581055
1164.677002
32