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Short Citation:
OCM Partners, 2024: 2017 FEMA Lidar: Waushara County, WI, https://www.fisheries.noaa.gov/inport/item/72329.

Item Identification

Title: 2017 FEMA Lidar: Waushara County, WI
Short Name: wi2017_waushara_m10098_metadata
Status: Completed
Creation Date: 2017
Publication Date: 2018-05-01
Abstract:

Geographic Extent: Waushara County, Wisconsin covering approximately 647 square miles.

Dataset Description of Original Data: Waushara County, Wisconsin 2017 QL2 LiDAR project required planning and acquisition of LiDAR data collected with a point density of 2 pulses per meter with at a nominal point spacing of 0.71 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011) State Plane, Wisconsin South, US survey feet and vertical datum of NAVD1988 (GEOID12B), US survey feet. LiDAR data was delivered as 35 calibrated and controlled RAW flight line swaths, processed to create 760 Classified LAS 1.4 files formatted to individual 5000 x 5000-foot tiles, corresponding 2.0-ft hydro-flattened bare-earth DEMs tiled to the same 5000 x 5000-foot schema in ERDAS .IMG format, and hydro-flattened feature breaklines in Esri polygonZ shapefile and polygonZ file geodatabase feature class format.

Ground Conditions: LiDAR was collected in 3 lifts spanning 2 days in the Fall of 2017, with no snow, water at normal levels without unusual inundation, and leaf off conditions. In order to post process the LiDAR data to meet task order specifications, 20 surveyed control points were used to calibrate the LIDAR to known ground locations established throughout the project area. The accuracy of the data was checked with a total of 70 surveyed QC check points.

This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services.

Purpose:

Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Breaklines and Raster DEMs. The purpose of these LiDAR data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 2-ft cell size. The data will be used by FEMA for flood-plain mapping. These raw lidar point cloud data were used to create classified lidar LAS files, 3D breaklines, and hydro-flattened DEMs as necessary.

Supplemental Information:

FEMA Contract No. HSFE60-15-D-0005

FEMA Task Order No. HSFE05-17-J-0005

CONTRACTOR: STARR II

SUBCONTRACTOR: Continental Mapping Consultants

Continental Mapping Consultants worked with CompassData to acquire and calibrate ground control points. All Lidar data acquisition, calibration, and follow-on processing were completed by Continental Mapping Consultants.

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

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

"ldrsens" : "Leica ALS70",

"ldrmaxnr" : "5",

"ldrnps" : "0.684",

"ldrdens" : "2.14",

"ldranps" : "0.586",

"ldradens" : "2.91",

"ldrfltht" : "2200",

"ldrfltsp" : "160",

"ldrscana" : "38",

"ldrscanr" : "49.2",

"ldrpulsr" : "135.3",

"ldrpulsd" : "N/A",

"ldrpulsw" : "1.0",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.22",

"ldrswatw" : "1300",

"ldrswato" : "20",

"ldrgeoid" : "g2012bu3.bin"

},

"ldraccur" : {

"ldrchacc" : "0.1",

"rawnva" : "0.094",

"rawnvan" : "40",

"clsnva" : "0.080",

"clsnvan" : "40",

"clsvva" : "0.039",

"clsvvan" : "30"

},

"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" : "16-bit",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Undetermined/Unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare earth"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "Low noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "Water"

},

"lasclass" : {

"clascode" : "10",

"clasitem" : "Ignored ground"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridges"

},

"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
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

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: Unknown
Data Presentation Form: Model (digital)
Distribution Liability:

All rights to produced data belong to FEMA.

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: Data credit goes to Continental Mapping Consultants who was contracted by the Strategic Alliance For Risk Reduction (STARR II)., Continental Mapping Consultants

Support Roles

Data Steward

CC ID: 1329372
Date Effective From: 2024
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: 1329371
Date Effective From: 2024
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: 1329404
Date Effective From: 2018
Date Effective To:
Contact (Organization): U.S. Geological Survey
Address: 12201 Sunrise Valley Drive
Reston, VA 20191
USA
URL: USGS Home

Metadata Contact

CC ID: 1329373
Date Effective From: 2024
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: 1329374
Date Effective From: 2024
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: 1329377
W° Bound: -89.601604
E° Bound: -88.879494
N° Bound: 44.248628
S° Bound: 43.976209

Extent Group 1 / Time Frame 1

CC ID: 1329376
Time Frame Type: Range
Start: 2017-11-07
End: 2017-11-08
Description:

Dates of collection

Spatial Information

Spatial Representation

Representations Used

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

Vector Representation 1

CC ID: 1329366
Point Object Present?: Yes
Point Object Count: 5076750329

Reference Systems

Reference System 1

CC ID: 1329406

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: 1329405

Coordinate Reference System

CRS Type: Vertical
EPSG Code: EPSG:6360
EPSG Name: NAVD88 height (ftUS)
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk and 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: 1329378
Start Date: 2024-03-18
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10098/details/10098
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2024 - 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: 1329379
Start Date: 2024-03-18
End Date: Present
Download URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/USGS_LPC_WI_Waushara_2017_LAS_2019/laz/
Distributor: U.S. Geological Survey (2018 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in LAZ format, WI State Plane South, NAD83 (2011) US survey feet coordinates and orthometric elevations (Geoid12b) in feet.

Distribution Format: LAS/LAZ - LASer
Compression: LAZ

URLs

URL 1

CC ID: 1329369
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: 1329407
URL: https://usgs.entwine.io/data/view.html?r=https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_WI_Waushara_2017_LAS_2019/ept.json
Name: USGS 3D View
URL Type:
Online Resource
Description:

Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer.

URL 3

CC ID: 1329408
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_WI_Waushara_2017_LAS_2019/ept.json
Name: USGS Entwine Point Tile (EPT)
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 4

CC ID: 1329409
URL: https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/WI_Waushara_2017_C19/WI_Waushara_2017/reports/55137_Waushara_WI_Processing_Reports.pdf
Name: Lidar Processing Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Continental Mapping lidar processing report.

URL 5

CC ID: 1329410
URL: https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/WI_Waushara_2017_C19/WI_Waushara_2017/reports/55137_Washaura_Planning_and_Post_Flight_Report.pdf
Name: Lidar Collection Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Continental Mapping lidar collection report.

URL 6

CC ID: 1329411
URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/WI_Waushara_2017_C19/WI_Waushara_2017/
Name: USGS Additional Info
URL Type:
Online Resource
Description:

Link to the reports, breaklines, metadata, and spatial metadata.

Technical Environment

Description:

Environment as of Metadata Creation: Microsoft Windows 7 Professional; Esri ArcGIS 10.2.2; Microstation CONNECT Edition Update 2 (version 10.02.00.39); TerraScan (version 018.008)

Data Quality

Vertical Positional Accuracy:

The specifications require that only Non-vegetated Vertical Accuracy (NVA) can be computed for raw lidar point cloud swath files. The vertical accuracy was tested with 40 independent surveys located in open terrain. These check points were not used in the calibration or post processing of the lidar point cloud data. The survey check points were distributed throughout the project. Specifications for this project require that the NVA be 19.6 cm or better AccuracyZ at 95 percent confidence level.

The NVA was tested using 40 independent surveys located in open terrain. The survey check points were distributed throughout the project. The 40 independent check points were surveyed using the closed level loop technique. Elevations from the unclassified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the unclassified lidar surface were then compared to the elevation values of the surveyed control. The RMSE was computed to be 0.048 meters and AccuracyZ to be 0.094 meters. AccuracyZ has been tested to meet the required AccuracyZ value of 19.6 cm for Non-Vegetated Vertical Accuracy at 95 Percent 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.

Completeness Report:

These classified 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 classified point cloud is of good quality and data passes Non-vegetated Vertical Accuracy (NVA) specifications. Datasets contain complete coverage of tiles over the project area.

Conceptual Consistency:

Data cover 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

Lineage Statement:

The NOAA Office for Coastal Management (OCM) ingested references to the USGS Entwine Point Tiles (EPT) hosted on Amazon Web Services (AWS) into the Digital Coast Data Access Viewer (DAV). The DAV accesses the point cloud as it resides on AWS under the usgs-lidar-public-container.

Sources

USGS AWS Entwine Point Tile (EPT) - USGS_LPC_WI_Waushara_2017

CC ID: 1329412
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_WI_Waushara_2017_LAS_2019/ept.json
Citation URL Name: Entwine Point Tile for USGS_LPC_WI_Waushara_2017

Process Steps

Process Step 1

CC ID: 1329364
Description:

Classified LAS Processing:

Final lidar LAS delivery classes for the fully classed LAS tiles consistent with ASPRS LAS classes to be compliant with USGS LiDAR Guidelines and Base Specifications v1.2 consist of: Class 1 - Unclassified; Class 2 - Ground; Class 7 – Low Noise; Class 9 - Water; Class 10 - Ignored Ground (including 3-foot buffer around water breaklines); Class 17 - Bridge; and Class 18 - High Noise. Once the analyst was comfortable with the ground macro results, the ground classification QC began using TerraScan. During the QC phase, analysts reclassified the point cloud in areas where the macro was not able to, or created misclassifications. The same rigorous quality steps were performed on each classification. Data were then distributed as virtual tiles to experienced lidar analysts for localized automatic classification, manual editing, and peer-based QC checks. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project. Upon completion of point classification, an automated process was executed to turn any points to class 1 in the Fully Classified LAS files and to delete all points that fell outside of the provided project buffered boundary.

Process Date/Time: 2018-04-30 00:00:00

Process Step 2

CC ID: 1329413
Description:

Original point clouds in LAS/LAZ format were restructured as Entwine Point Tiles and stored on Amazon Web Services. The data were re-projected horizontally to WGS84 web mercator (EPSG 3857) and the vertical units were converted to meters (NAVD88 Geoid12B).

Process Contact: U.S. Geological Survey

Process Step 3

CC ID: 1329414
Description:

The NOAA Office for Coastal Management (OCM) created references to the Entwine Point Tiles (EPT) that were ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the point cloud as it resides on Amazon Web Services (AWS) under the usgs-lidar-public container.

This is the AWS URL being accessed:

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_WI_Waushara_2017_LAS_2019/ept.json

Process Date/Time: 2024-03-18 00:00:00
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 72329
GUID: gov.noaa.nmfs.inport:72329
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2024-03-18 14:12+0000
Metadata Record Last Modified By: Rebecca Mataosky
Metadata Record Last Modified: 2024-06-19 14:18+0000
Metadata Record Published: 2024-03-18
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2024-03-18
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2025-03-18