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Catalog Details

Summary

Browse graphic

Short Citation
OCM Partners, 2024: 2017 USGS QL2 Lidar: Forest County, WI, https://www.fisheries.noaa.gov/inport/item/71710.
Full Citation Examples

Abstract

The Forest County lidar project area covers approximately 1056 square miles which includes a 100 meter buffer around the county boundary. The lidar data was acquired at a nominal point spacing (NPS) of 0.7 meters and a single swath nominal point density (NPD) of 2.0. Project specifications are based on Forest County requirements and on the U.S. Geological Survey National Geospatial Program LiDAR Base Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83(2011) / Forest County (ftUS) (EPSG Code: 7606), and vertical datum of NAVD88 - Geoid12B (Feet). LiDAR data was acquired using the Leica ALS70 SN7161 and SN7178 sensors from April 22, 2017 through April 25, 2017 in seven total lifts. Acquisition occurred with leaves absent from deciduous trees, when no snow was present on the ground, and with rivers at or below normal levels.

Data were converted to ellipsoid heights in meters and geographic coordinates for ingest into the Digital Coast Data Access Viewer. Further conversion may be done there using this metadata as a template. There may also be an orthometric download available (see Distribution section).

Distribution Information

  • Not Applicable

    Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.

  • LAS/LAZ - LASer

    Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum.

Access Constraints:

None

Use Constraints:

Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.

Controlled Theme Keywords

COASTAL ELEVATION, elevation, TERRAIN ELEVATION

Child Items

No Child Items for this record.

Contact Information

Point of Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov

Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov

Extents

Geographic Area 1

-89.052445° W, -88.42207° E, 46.075577° N, 45.375452° S

Time Frame 1
2017-04-22 - 2017-04-25

Item Identification

Title: 2017 USGS QL2 Lidar: Forest County, WI
Short Name: 2017 Forest WI m10005
Status: Completed
Publication Date: 2023-12-22
Abstract:

The Forest County lidar project area covers approximately 1056 square miles which includes a 100 meter buffer around the county boundary. The lidar data was acquired at a nominal point spacing (NPS) of 0.7 meters and a single swath nominal point density (NPD) of 2.0. Project specifications are based on Forest County requirements and on the U.S. Geological Survey National Geospatial Program LiDAR Base Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83(2011) / Forest County (ftUS) (EPSG Code: 7606), and vertical datum of NAVD88 - Geoid12B (Feet). LiDAR data was acquired using the Leica ALS70 SN7161 and SN7178 sensors from April 22, 2017 through April 25, 2017 in seven total lifts. Acquisition occurred with leaves absent from deciduous trees, when no snow was present on the ground, and with rivers at or below normal levels.

Data were converted to ellipsoid heights in meters and geographic coordinates for ingest into the Digital Coast Data Access Viewer. Further conversion may be done there using this metadata as a template. There may also be an orthometric download available (see Distribution section).

Purpose:

This data, along with its derivatives, is the result of a countywide elevation mapping with cooperative partnerships from Forest County, Wisconsin DOA, and the USGS 3DEP program. This data was produced from lidar data collected in April 2017, which was processed and delivered in 2018.

Supplemental Information:

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "USGS-NGP Base Specification v1.2",

"ldrsens" : "ALS70_SN7161 and SN7178",

"ldrmaxnr" : "4",

"ldrnps" : "0.72",

"ldrdens" : "2.99",

"ldranps" : "0.72",

"ldradens" : "2.99",

"ldrfltht" : "1800",

"ldrfltsp" : "150",

"ldrscana" : "40.0",

"ldrscanr" : "53.4",

"ldrpulsr" : "302.6",

"ldrpulsd" : "4",

"ldrpulsw" : "0.48",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.22",

"ldrswatw" : "1310.29",

"ldrswato" : "30",

"ldrcrs" : "NAD83(2011) / Forest County (ftUS) (EPSG Code: 7606)",

"ldrgeoid" : "National Geodetic Survey (NGS) Geoid12B"

},

"ldraccur" : {

"ldrchacc" : "n/a",

"rawnva" : "0.110",

"rawnvan" : "59"

},

"lasinfo" : {

"lasver" : "1.4",

"lasprf" : "6",

"laswheld" : "n/a",

"lasolap" : "Swath "overage" points were identified in these files using the standard LAS overlap bit.",

"lasintr" : "11",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Processed, but Unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare Earth"

},

"lasclass" : {

"clascode" : "5",

"clasitem" : "High Vegetation"

},

"lasclass" : {

"clascode" : "6",

"clasitem" : "Building"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "Noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "Water"

},

"lasclass" : {

"clascode" : "10",

"clasitem" : "Ignored Ground"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridge Decks"

},

"lasclass" : {

"clascode" : "18",

"clasitem" : "High Noise"

}

}}

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
ISO 19115 Topic Category
elevation

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
UNCONTROLLED
None Forest County
None Wisconsin

Instrument Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging

Platform Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: Elevation
Maintenance Frequency: None Planned
Data Presentation Form: Model (digital)
Distribution Liability:

Distributor assumes no liability for misuse of data.

Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners

Data Set Credit: Wisconsin DOA; USGS; Ayres Associates

Support Roles

Data Steward

CC ID: 1286146
Date Effective From: 2023
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 1286145
Date Effective From: 2023
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Metadata Contact

CC ID: 1286147
Date Effective From: 2023
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Point of Contact

CC ID: 1286148
Date Effective From: 2023
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1286151
W° Bound: -89.052445
E° Bound: -88.42207
N° Bound: 46.075577
S° Bound: 45.375452

Extent Group 1 / Time Frame 1

CC ID: 1286150
Time Frame Type: Range
Start: 2017-04-22
End: 2017-04-25

Spatial Information

Spatial Resolution

Horizontal Distance: 0.7 Meter

Spatial Representation

Representations Used

Grid: No
Vector: Yes
Text / Table: No
TIN: No
Stereo Model: No
Video: No

Vector Representation 1

CC ID: 1286135
Point Object Present?: Yes
Point Object Count: 17460671513

Reference Systems

Reference System 1

CC ID: 1286136

Coordinate Reference System

CRS Type: Geographic 3D
EPSG Code: EPSG:6319
EPSG Name: NAD83(2011)
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk or custom downloads

Data Access Constraints:

None

Data Use Constraints:

Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.

Distribution Information

Distribution 1

CC ID: 1286152
Start Date: 2023-12-22
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10005/details/10005
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2023 - Present)
File Name: Customized Download
Description:

Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.

Distribution Format: Not Applicable
Compression: Zip

Distribution 2

CC ID: 1286153
Start Date: 2023-12-22
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/10005/index.html
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2023 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum.

Distribution Format: LAS/LAZ - LASer
Compression: LAZ

URLs

URL 1

CC ID: 1286138
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/10005/supplemental/2016_Forest_extent_m10005.kmz
Name: Browse graphic
URL Type:
Browse Graphic
File Resource Format: KML
Description:

This graphic displays the footprint for this lidar data set.

URL 2

CC ID: 1286139
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/10005/supplemental/Forest_County_WI_Vertical_Accuracy_Report.pdf
Name: Report
URL Type:
Online Resource
File Resource Format: PDF

URL 3

CC ID: 1286140
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/10005/supplemental/Forest_County_WI_Ground_Control_Report.pdf
Name: Report
URL Type:
Online Resource
File Resource Format: PDF

URL 4

CC ID: 1286141
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/10005/supplemental/Forest_County_WI_Collection_Report.pdf
Name: Report
URL Type:
Online Resource
File Resource Format: PDF

URL 5

CC ID: 1286142
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/10005/supplemental/Forest_County_WI_Collection_Report_Appendices.pdf
Name: Report
URL Type:
Online Resource
File Resource Format: PDF

URL 6

CC ID: 1286143
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/10005/supplemental/Forest_County_WI_Processing_Report.pdf
Name: Report
URL Type:
Online Resource
File Resource Format: PDF

URL 7

CC ID: 1286144
URL: https://coast.noaa.gov/dataviewer/
Name: NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
URL Type:
Online Resource
File Resource Format: HTML
Description:

The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer.

Data Quality

Vertical Positional Accuracy:

The project specifications require the vertical accuracy of the LiDAR data to be calculated and reported according to Non-vegetated Vertical Accuracy (NVA) and Vegetated Vertical Accuracy (VVA) classifications.

The required NVA for this project is 19.6 cm (0.643 survey feet) calculated at the 95 percent confidence level (AccuracyZ). The 95 percent confidence level statistic is derived according to National Standards for Spatial Data Accuracy (NSSDA) methodologies using RMSEz * 1.9600. This requirement is for the vertical accuracy testing of the raw swath lidar data and the derived digital elevation model (DEM). The AccuracyZ statistic is assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. The minimum required number of NVA checkpoints for this project area is 58.

The required VVA for this project is 29.4 cm (0.965 survey feet) calculated at the 95th percentile derived according to ASPRS Guidelines, Vertical Accuracy Reporting for Lidar Data, i.e., based on the 95th percentile error in all vegetated land cover classes combined. This requirement is for the vertical accuracy testing of the derived digital elevation model (DEM). The minimum required number of VVA checkpoints for this project area is 47.

The NVA (bare earth and urban area land cover classes) and VVA (tall weeds, forested, and swamp land cover classes) checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. Elevations from the hydro flattened raster DEM were measured for the x,y location of each check point. Elevations interpolated from the hydro flattened raster DEM surface were then compared to the elevation values of the surveyed control points.

Quantitative value: 0.110 meters (0.364 survey feet), AccuracyZ at 95% confidence level, AccuracyZ at 95% confidence level, Test that produced the value: 0.110 meters (0.364 survey feet) NVA at the 95 percent confidence level. The NVA of the raw swath was calculated using 59 independent checkpoints located in the Bare Earth and Urban land cover categories.

Completeness Report:

Spatial consistency of coverage of the Forest Co. QL2 LiDAR (2017-18) project area was maintained throughout the dataset.

Conceptual Consistency:

Spatial consistency of coverage of the Forest Co. QL2 LiDAR (2017-18) project area was maintained throughout the dataset.

Data Management

Have Resources for Management of these Data Been Identified?: Yes
Approximate Percentage of Budget for these Data Devoted to Data Management: Unknown
Do these Data Comply with the Data Access Directive?: Yes
Actual or Planned Long-Term Data Archive Location: NCEI-NC
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?:

Data is backed up to cloud storage.

Lineage

Sources

Wisconsin View LAS data

CC ID: 1286163
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: Wisconsin View
Citation URL: https://bin.ssec.wisc.edu/pub/wisconsinview/lidar/Forest/
Citation URL Name: 2017 Forest, WI lidar data
Citation URL Description:

Raw LAS lidar and derived products for the 2017 Forest, WI collection.

Source Contribution:

Original lidar data ingested into the Digital Coast Data Access Viewer in Dec, 2023.

Process Steps

Process Step 1

CC ID: 1286133
Description:

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 3.125 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.

Process Step 2

CC ID: 1286164
Description:

NOAA downloaded LAS data for Forest, WI from Wisconsin View. Data were converted to geographic coordinates with ellipsoid heights in meters for ingest into the Digital Coast Data Access Viewer.

Process Date/Time: 2023-12-22 00:00:00
Process Contact: NOAA Office for Coastal Management (NOAA/OCM)
Phone (Voice): (843) 740-1202
Email Address: coastal.info@noaa.gov
Source: Wisconsin View LAS data

Catalog Details

Catalog Item ID: 71710
GUID: gov.noaa.nmfs.inport:71710
Metadata Record Created By: Kirk Waters
Metadata Record Created: 2023-12-22 11:59+0000
Metadata Record Last Modified By: Kirk Waters
Metadata Record Last Modified: 2023-12-22 12:12+0000
Metadata Record Published: 2023-12-22
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2023-12-22
Metadata Review Frequency: 3 Years
Metadata Next Review Date: 2026-12-22