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Short Citation:
OCM Partners, 2024: 2018 USGS Lidar: Calumet, Clark, Fond du Lac, Green Lake, Price, and Waupaca, WI, https://www.fisheries.noaa.gov/inport/item/71685.

Item Identification

Title: 2018 USGS Lidar: Calumet, Clark, Fond du Lac, Green Lake, Price, and Waupaca, WI
Short Name: 2018 WI statewide m10001
Status: Completed
Publication Date: 2019-05-28
Abstract:

This is a multi-county lidar project in Wisconsin and may be referred to as the 2018 USGS Wisconsin Statewide collection. Coverages by county are: Calumet County = 336 square miles; Clark County = 1228 square miles; Fond Du Lac County = 780 square miles; Green Lake County = 386 square miles; Price County = 1288 square miles; and Waupaca County = 773 square miles.

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 county requirements and on the U.S. Geological Survey National Geospatial Program Lidar Base Specification, Version 1.2. The data were developed based on a county specific projections and vertical datum of NAVD88 - Geoid12B (Feet). Lidar data were acquired using the Leica ALS80 SN8227 Sensor. Acquisition occurred with leaves absent from deciduous trees, when no snow was present on the ground, and with rivers at or below normal levels.

The original data were transformed to Entwine Point Tile format in Web Mercator projection. The Digital Coast Data Access Viewer is referrencing this data for custom processing and this metadata was created to support the Data Access Viewer.

Purpose:

This data, along with its derivatives, is the result of a countywide elevation mapping with cooperative partnerships from CalumetCounty, Wisconsin DOA, and the USGS 3DEP program. This data was produced from lidar data collected in May 2018, which was processed and delivered in 2019.

Supplemental Information:

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "- National Geospatial Program (NGP) Lidar Base Specification v1.2",

"ldrsens" : "ALS80_SN8227",

"ldrmaxnr" : "4",

"ldrnps" : "0.71",

"ldrdens" : "2.0",

"ldranps" : "0.71",

"ldradens" : "2.0",

"ldrfltht" : "2000",

"ldrfltsp" : "150",

"ldrscana" : "36",

"ldrscanr" : "50",

"ldrpulsr" : "300",

"ldrpulsd" : "4",

"ldrpulsw" : "0.48",

"ldrwavel" : "1020",

"ldrmpia" : "1",

"ldrbmdiv" : "0.22",

"ldrswatw" : "1457",

"ldrswato" : "30",

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

},

"ldrinfo" : {

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

"ldrsens" : "Leica ALS80_SN8227",

"ldrmaxnr" : "4",

"ldrnps" : "0.71",

"ldrdens" : "2.0",

"ldranps" : "0.71",

"ldradens" : "2.0",

"ldrfltht" : "2000",

"ldrfltsp" : "150",

"ldrscana" : "36",

"ldrscanr" : "50",

"ldrpulsr" : "300",

"ldrpulsd" : "4",

"ldrpulsw" : "0.48",

"ldrwavel" : "1020",

"ldrmpia" : "1",

"ldrbmdiv" : "0.22",

"ldrswatw" : "1457",

"ldrswato" : "30",

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

},

"lasinfo" : {

"lasver" : "1.4",

"lasprf" : "6",

"laswheld" : "Withheld (ignore) points were identified in these files using the standard LAS Withheld bit.",

"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 Ground"

},

"lasclass" : {

"clascode" : "5",

"clasitem" : "High Vegetation"

},

"lasclass" : {

"clascode" : "6",

"clasitem" : "Buildings"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "Low Noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "Water"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridge Deck"

},

"lasclass" : {

"clascode" : "18",

"clasitem" : "High Noise"

},

"lasclass" : {

"clascode" : "20",

"clasitem" : "Ignored Ground"

}

}}

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE
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
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > WISCONSIN
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
UNCONTROLLED
None Calumet County

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:

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: USGS; Ayres Associates

Support Roles

Data Steward

CC ID: 1285495
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: 1285494
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: 1285496
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: 1285497
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 Description:

Calumet County

Extent Group 1 / Geographic Area 1

CC ID: 1285500
W° Bound: -88.889287
E° Bound: -88.406008
N° Bound: 44.245009
S° Bound: 43.890201

Extent Group 1 / Time Frame 1

CC ID: 1285499
Time Frame Type: Range
Start: 2018-05-13
End: 2018-05-16

Extent Group 2

Extent Description:

Clark County

Extent Group 2 / Geographic Area 1

CC ID: 1286735
W° Bound: -90.926146
E° Bound: -90.310355
N° Bound: 45.035393
S° Bound: 44.420438

Extent Group 2 / Time Frame 1

CC ID: 1286736
Time Frame Type: Range
Start: 2018-05-05
End: 2018-05-12

Extent Group 3

Extent Description:

Fond du Lac County

Extent Group 3 / Geographic Area 1

CC ID: 1286739
W° Bound: -88.889287
E° Bound: -88.156964
N° Bound: 43.939125
S° Bound: 43.541562

Extent Group 3 / Time Frame 1

CC ID: 1286738
Time Frame Type: Range
Start: 2018-05-05
End: 2018-05-07

Extent Group 4

Extent Description:

Green Lake County

Extent Group 4 / Geographic Area 1

CC ID: 1286742
W° Bound: -89.24686
E° Bound: -88.882127
N° Bound: 43.984743
S° Bound: 43.630452

Extent Group 4 / Time Frame 1

CC ID: 1286741
Time Frame Type: Range
Start: 2018-04-28
End: 2018-04-30

Extent Group 5

Extent Description:

Price County

Extent Group 5 / Geographic Area 1

CC ID: 1286745
W° Bound: -90.682577
E° Bound: -90.03593
N° Bound: 45.983786
S° Bound: 45.375024

Extent Group 5 / Time Frame 1

CC ID: 1286744
Time Frame Type: Range
Start: 2018-05-11
End: 2018-05-17

Extent Group 6

Extent Description:

Waupaca County

Extent Group 6 / Geographic Area 1

CC ID: 1286748
W° Bound: -89.22913
E° Bound: -88.603886
N° Bound: 44.683005
S° Bound: 44.240987

Extent Group 6 / Time Frame 1

CC ID: 1286747
Time Frame Type: Range
Start: 2018-05-08
End: 2018-05-13

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: 1285489
Point Object Present?: Yes
Point Object Count: 80654841245

Reference Systems

Reference System 1

CC ID: 1285490

Coordinate Reference System

CRS Type: Projected
EPSG Code: EPSG:3857
EPSG Name: WGS 84 / Pseudo-Mercator
See Full Coordinate Reference System Information

Reference System 2

CC ID: 1285513

Coordinate Reference System

CRS Type: Vertical
EPSG Code: EPSG:5703
EPSG Name: NAVD88 height
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: 1285501
Start Date: 2023-12-15
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10001/details/10001
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

URLs

URL 1

CC ID: 1285492
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.

URL 2

CC ID: 1285522
URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/WI_Statewide_2018_A18/
Name: Reports by County
URL Type:
Online Resource
File Resource Format: pdf; shapefile
Description:

Various reports and metadata by county from the contractor and USGS.

Technical Environment

Description:

Terrasolid

Data Quality

Vertical Positional Accuracy:

The project specifications require that only Non-Vegetated Vertical Accuracy (NVA) be computed for raw lidar point cloud swath files. The required accuracy (ACCz) is: 19.6 cm at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 10 cm in the “bare earth” and "urban" land cover classes. The NVA was tested with 29 checkpoints located in bare earth and urban (non-vegetated) areas. These check points were not used in the calibration or post processing of the lidar point cloud data. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. Elevations from the unclassified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control points. AccuracyZ has been tested to meet 19.6 cm or better Non-Vegetated Vertical Accuracy at 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines.Quantitative value: 0.07 m, Test that produced the value:

Calumet County: Tested 0.059 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the raw lidar point cloud swath files was calculated against TINs derived from the final calibrated and controlled swath data using 29 independent checkpoints located in Bare Earth and Urban land cover classes.

Clark County: Tested 0.065 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the raw lidar point cloud swath files was calculated against TINs derived from the final calibrated and controlled swath data using 65 independent checkpoints located in Bare Earth and Urban land cover classes.

Fond Du Lac County County: Tested 0.079 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the raw lidar point cloud swath files was calculated against TINs derived from the final calibrated and controlled swath data using 61 independent checkpoints located in Bare Earth and Urban land cover classes.

Green Lake County: Tested 0.066 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the raw lidar point cloud swath files was calculated against TINs derived from the final calibrated and controlled swath data using 33 independent checkpoints located in Bare Earth and Urban land cover classes.

Price County: Tested 0.079 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the raw lidar point cloud swath files was calculated against TINs derived from the final calibrated and controlled swath data using 68 independent checkpoints located in Bare Earth and Urban land cover classes.

Waupaca County: Tested 0.087 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the raw lidar point cloud swath files was calculated against TINs derived from the final calibrated and controlled swath data using 60 independent checkpoints located in Bare Earth and Urban land cover classes.

Weighted average of counties = 0.07 meters.

Completeness Report:

These LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is complete and data passes Vertical Accuracy specifications.

Conceptual Consistency:

Data covers the entire area specified for this project.

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

Calumet EPT

CC ID: 1285514
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_Calumet_2018/ept.json
Citation URL Name: Calumet EPT
Citation URL Description:

Entwine Point Tiles

Clark County EPT

CC ID: 1285515
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_Clark_2018/ept.json
Citation URL Name: Clark County EPT
Citation URL Description:

Entwine Point Tiles

Clark County Tribal Lands EPT

CC ID: 1285516
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_Clark_TL_2018/ept.json
Citation URL Name: Clark County Tribal Lands EPT
Citation URL Description:

Entwine Point Tiles

Fond Du Lac EPT

CC ID: 1285517
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_FondduLac_2018/ept.json
Citation URL Name: Fond Du Lac EPT
Citation URL Description:

Entwine Point Tiles

Green Lake EPT

CC ID: 1285518
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_GreenLake_2018/ept.json
Citation URL Name: Green Lake EPT
Citation URL Description:

Entwine Point Tiles

Price County EPT

CC ID: 1285519
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_Price_2018/ept.json
Citation URL Name: Price County EPT
Citation URL Description:

Entwine Point Tiles

Waupaca County EPT

CC ID: 1285520
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_Waupaca_2018/ept.json
Citation URL Name: Waupaca County EPT
Citation URL Description:

Entwine Point Tiles

Process Steps

Process Step 1

CC ID: 1285486
Description:

The boresight for each lift was done individually as the solution may change slightly from lift to lift. The following steps describe the Raw Data Processing and Boresight process: 1) Technicians processed the raw data to LAS format flight lines using the final GPS/IMU solution. This LAS data set was used as source data for boresight. 2) Technicians first used Leica LMS software to calculate initial boresight adjustment angles based on sample areas selected in the lift. These areas cover calibration flight lines collected in the lift, cross tie and production flight lines. These areas are well distributed in the lift coverage and cover multiple terrain types that are necessary for boresight angle calculation. The technician then analyzed the results and made any necessary additional adjustment until it is acceptable for the selected areas. 3) Once the boresight angle calculation was completed for the selected areas, the adjusted settings were applied to all of the flight lines of the lift and checked for consistency. The technicians utilized commercial and proprietary software packages to analyze how well flight line overlaps match for the entire lift and adjusted as necessary until the results met the project specifications. 4) Once all lifts were completed with individual boresight adjustment, the technicians checked and corrected the vertical misalignment of all flight lines and also the matching between data and ground truth. The relative accuracy was less than or equal to 7 cm RMSEz within individual swaths and less than or equal to 10 cm RMSEz or within swath overlap (between adjacent swaths). 5) The technicians ran a final vertical accuracy check of the boresighted flight lines against the surveyed check points after the z correction to ensure the requirement of NVA = 19.6 cm 95% Confidence Level (Required Accuracy) was met. Point classification was performed according to USGS Lidar Base Specification 1.2, and breaklines were collected for water features. Bare earth DEMs were exported from the classified point cloud using collected breaklines for hydroflattening.

Process Date/Time: 2019-01-01 00:00:00

Process Step 2

CC ID: 1285487
Description:

LAS Point Cloud Classification:

LiDAR data processing for the point cloud deliverable consists of classifying the LiDAR using a combination of automated classification and manual edit/reclassification processes. On most projects the automated classification routines will correctly classify 90-95 percent of the LiDAR points. The remaining 5-10 percent of the bare earth ground class must undergo manual edit and reclassification.

Because the classified points serve as the foundation for the Terrain, DEM and breakline products, it is necessary for the QA/QC supervisor to review the completed point cloud deliverables prior to the production of any additional products.

The following workflow steps are followed for automated LiDAR classification:

1. Lead technicians review the group of LiDAR tiles to determine which automated classification routines will achieve the best results. Factors such as vegetation density, cultural features, and terrain can affect the accuracy of the automated classification. The lead technicians have the ability to edit or tailor specific routines in order to accommodate the factors mentioned above, and achieve the best results and address errors.

2. Distributive processing is used to maximize the available hardware resources and speed up the automated processing as this is a resource-intensive process.

3. Once the results of the automated classification have been reviewed and passed consistent checks, the supervisor then approves the data tiles for manual classification.

The following workflow steps are followed for manual edits of the LiDAR bare earth ground classification:

1. LiDAR technicians review each tile for errors made by the automated routines and correctly address errors any points that are in the wrong classification. By methodically panning through each tile, the technicians view the LiDAR points in profile, with a TIN surface, and as a point cloud.

2. Any ancillary data available, such as Google Earth, is used to identify any features that may not be identifiable as points so that the technician can make the determination to which classification the feature belongs.

The QA/QC processes for the LiDAR processing phase consist of:

1. The lead technician reviews all automated classification results and adjust the macros as necessary to achieve the optimal efficiency. This is an iterative process, and the technician may need to make several adjustments to the macros, depending upon the complexity of the features in the area being processed.

During the manual editing process, the LiDAR technicians use a system of QA, whereby they check each others edits. This results in several benefits to the process:

- There is a greater chance of catching minor blunders

- It increases communication between technicians on technique and appearance

- Solutions to problems are communicated efficiently

- To ensure consistency across the project area, the supervisor reviews the data once the manual editing is complete.

For this phase of a project, the following specifications are checked against:

• Point cloud - all points must be classified according to the USGS classification standard for LAS. The all-return point cloud must be delivered in fully-compliant LAS version 1.4.

• LAS files will use the Spatial Reference Framework according to project specification and all files shall be projected and defined.

• General Point classifications:

- Class 1. Processed, but unclassified

- Class 2. Bare Earth

- Class 5. High Vegetation

- Class 6. Building

- Class 7. Noise

- Class 9. Water

- Class 17. Bridge Decks

- Class 18. High Noise

- Class 20. Ignored ground (Breakline proximity)

• Outliers, noise, blunders, duplicates, geometrically unreliable points near the extreme edge of the swath, and other points deemed unusable are to be identified using the "Withheld" flag. This applies primarily to points which are identified during pre-processing or through automated post-processing routines. Subsequently identified no

Process Date/Time: 2019-01-01 00:00:00

Process Step 3

CC ID: 1285521
Description:

USGS created Entwine Point Tiles for the counties in Web Mercator projection. NOAA leveraged the data in that format for the Data Access Viewer custom processing. This metadata exists to support that custom processing.

Process Date/Time: 2023-12-15 00:00:00
Process Contact: NOAA Office for Coastal Management (NOAA/OCM)
Phone (Voice): (843) 740-1202
Email Address: coastal.info@noaa.gov
Source: Calumet EPT

Catalog Details

Catalog Item ID: 71685
GUID: gov.noaa.nmfs.inport:71685
Metadata Record Created By: Kirk Waters
Metadata Record Created: 2023-12-15 18:31+0000
Metadata Record Last Modified By: Kirk Waters
Metadata Record Last Modified: 2024-01-02 14:10+0000
Metadata Record Published: 2023-12-15
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2023-12-15
Metadata Review Frequency: 3 Years
Metadata Next Review Date: 2026-12-15