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OCM Partners Metadata Library > Lidar - partner (no harvest) >

2010 USGS Lidar: Oconto County, WI

Data Set (DS)  |  OCM Partners (OCMP)
GUID: gov.noaa.nmfs.inport:58922  |  Updated: December 8, 2023  |  Published / External 
Summary
Item Identification
Keywords
Physical Location
Data Set Info
Support Roles
Extents
Spatial Info
Access Info
Distribution Info
URLs
Data Quality
Data Management
Lineage
Catalog Details

Summary

Browse graphic

Short Citation
OCM Partners, 2025: 2010 USGS Lidar: Oconto County, WI, https://www.fisheries.noaa.gov/inport/item/58922.
Full Citation Examples

Abstract

There was no metadata record provided with this dataset. The Office for Coastal Management created this record from information in the data report.

This dataset includes LiDAR data collected April 17, 2010 at a nominal pulse spacing of 1.2 meters for a portion of Oconto County. The dataset included the raw point clouds, classified point clouds, and bare earth point cloud as well as derivative products including the DTM (Digital Terrain Model), DEM (Digital Elevation Model), Hydro-Flattened DEM, and 2’ contours. The specifications of this project are based on the Base LiDAR Specification, Version 12, as set forth by the US Geological Survey: National Geospatial Program. Aerometric, Inc. in conjunction with Ayres Associates acquired accurate Light Detection and Ranging (LiDAR) data for two areas within Oconto County, Wisconsin. Using Aerometric’s ALTM Gemini LiDAR system, data was collected at 1700 meters above ground level along 17 pre-planned flight lines at a pulse rate of 70,000 points per second. Airborne GPS and IMU trajectories for the LiDAR sensor were also acquired during the time of flight.

The NOAA Office for Coastal Management (OCM) downloaded the laz files from this USGS site

ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/ARRA-WI_OcontoCo_2010 and processed the data to the Data Access Viewer (DAV) and to https.

Distribution Information

  • Customized Download

    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.

  • Bulk Download
    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

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

-88.059038° W, -87.843938° E, 45.024186° N, 44.846608° S

Time Frame 1
2010-04-17

Item Identification

Title: 2010 USGS Lidar: Oconto County, WI
Short Name: wi2010_oconto_m9030_metadata
Status: Completed
Creation Date: 2020
Abstract:

There was no metadata record provided with this dataset. The Office for Coastal Management created this record from information in the data report.

This dataset includes LiDAR data collected April 17, 2010 at a nominal pulse spacing of 1.2 meters for a portion of Oconto County. The dataset included the raw point clouds, classified point clouds, and bare earth point cloud as well as derivative products including the DTM (Digital Terrain Model), DEM (Digital Elevation Model), Hydro-Flattened DEM, and 2’ contours. The specifications of this project are based on the Base LiDAR Specification, Version 12, as set forth by the US Geological Survey: National Geospatial Program. Aerometric, Inc. in conjunction with Ayres Associates acquired accurate Light Detection and Ranging (LiDAR) data for two areas within Oconto County, Wisconsin. Using Aerometric’s ALTM Gemini LiDAR system, data was collected at 1700 meters above ground level along 17 pre-planned flight lines at a pulse rate of 70,000 points per second. Airborne GPS and IMU trajectories for the LiDAR sensor were also acquired during the time of flight.

The NOAA Office for Coastal Management (OCM) downloaded the laz files from this USGS site

ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/ARRA-WI_OcontoCo_2010 and processed the data to the Data Access Viewer (DAV) and to https.
Purpose:

The LiDAR acquisition, bare-earth data set, breaklines, DEMS, 2ft contours, and a Geodatabase were performed to develop a highly detailed ground surface dataset for use by Oconto County.

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
ISO 19115 Topic Category
elevation
UNCONTROLLED
None erosion

Temporal Keywords

Thesaurus Keyword
UNCONTROLLED
None 2010
None April

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 Continent > North America > United States Of America > Wisconsin > Oconto 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 Oconto County, WI, Aerometric, Inc., Ayres Associates, USGS, NOAA, the Office for Coastal Management or its partners.
Data Set Credit: United States Geological Survey (USGS), Aerometric, Inc., Ayres Associates

Support Roles

Data Steward

CC ID: 898061
Date Effective From: 2020
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: 898062
Date Effective From: 2020
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: 898063
Date Effective From: 2020
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: 898064
Date Effective From: 2020
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: 1143921
W° Bound: -88.059038
E° Bound: -87.843938
N° Bound: 45.024186
S° Bound: 44.846608

Extent Group 1 / Time Frame 1

CC ID: 1143920
Time Frame Type: Discrete
Start: 2010-04-17

Spatial Information

Spatial Representation

Representations Used

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

Reference Systems

Reference System 1

CC ID: 1143918

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 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: 898065
Start Date: 2020-02-21
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9030
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2020 - 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.
File Type (Deprecated): Zip
Compression: Zip

Distribution 2

CC ID: 898066
Start Date: 2020-02-21
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9030/index.html
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2020 - 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.
File Type (Deprecated): LAZ
Distribution Format: LAS/LAZ - LASer
Compression: Zip

URLs

URL 1

CC ID: 898068
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9030/supplemental/wi2010_oconto_m9030.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: 898069
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9030/supplemental/ARRA-WI_OcontoCo_2010.pdf
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to data set report.

URL 3

CC ID: 898070
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9030/supplemental/Oconto_CO_LiDAR_Processing_Report.doc
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to data set report.

URL 4

CC ID: 898081
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9030/breaklines/index.html
Name: Breaklines
URL Type:
Online Resource
Description:

Link to data set breaklines.

Data Quality

Horizontal Positional Accuracy:

All data products were acquired at 1700 meters above mean terrain (AMT) with a nominal point spacing of 1.2 meters.
Vertical Positional Accuracy:

The check point surveys were performed in 2000 using RTK GPS techniques. A total of 12 check points were surveyed across the project area. These points were collected in open terrain to assess the vertical accuracy.

The tested RMSE is 0.094 ft (2.9 cm)

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-CO
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?:

Data is backed up to tape and to cloud storage.

Lineage

Sources

Data collection and processing

CC ID: 1143915
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Ayres

Process Steps

Process Step 1

CC ID: 1143916
Description:

The LiDAR data for this project was collected with Aerometric’s Optech Gemini Airborne LiDAR system (Serial Number 07SEN201). All flight planning and acquisition was completed using Optech’s ALTM-Nav, version 2.1.25b (flight planning and LiDAR control software).

The following are the acquisition settings

• Flying Height (Above Ground): 1700 meters

• Laser Pulse Rate: 70 kHz

• Mirror Scan Frequency: 32 Hz

• Scan Angle (+/-): 20

• Side Lap: 50 %

• Ground Speed: 160 kts

• Nominal Point Spacing: 1.2 meters

One (1) flight mission was required to cover the project areas. The mission was flown using the above planned values. Section 7 of the report for the flight log. Airborne GPS and IMU trajectories for the LiDAR sensor were also acquired during the time of flight. The mission was about four hours long. Before take-off, the LiDAR system and the Airborne GPS and IMU systems were initiated for a period of five minutes and then again after landing for another five minutes. The mission acquired data according to the planned flight lines.

Point Cloud Processing:

The ABGPS/IMU post processed data along with the LiDAR raw measurements were processed using Optech Incorporated’s ASDA software. This software was used to match the raw LiDAR measurements with the computed ABGPS/IMU positions and attitudes of the LiDAR sensor. The result was a “point cloud” of LiDAR measured points referenced to the ground control system.

LIDAR Processing:

The LAS files were then imported, verified, and parsed into manageable, tiled grids using GeoCue version 6.1.21.0. GeoCue allows for ease of data management and process tracking. The first step after the data has been processed and calibrated is to perform a relative accuracy assessment on the flightline to flightline comparisons.

Once the accuracy between swaths is accepted an automated classification algorithm is performed using TerraScan. This will produce the majority of the bare-earth datasets. The remainder of the data was classified using manual classification techniques. The majority of the manual edit removed points misclassified as ground (class 2) to unclassified (class 1). Erroneous low points, high points, including clouds are classified to class 7.
Process Date/Time: 2010-04-17 00:00:00

Process Step 2

CC ID: 1143917
Description:

The NOAA Office for Coastal Management (OCM) downloaded 65 laz files from ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/ARRA-WI_OcontoCo_2010

The files contained elevation and intensity measurements for the Oconto County, WI project area. The data were in WI County Reference System, Oconto County, NAD83 HARN, US survey feet coordinates and NAVD88 (Geoid09) elevations in feet. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Noise, 8 - Model Key Points, 9 - Water, 10 - Ignored Ground. The NOAA Office for Coastal Management processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 7, 8, 9, 10.

OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:

1. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges.

2. The LAStools script las2las was run on the data to convert the times from gps week to adjusted gps time.

3. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid 09 model, to convert from WI County Reference System, Oconto County, NAD83 HARN, US survey feet coordinates to geographic coordinates, to convert from elevations in feet to meters, to assign the geokeys, to sort the data by gps time and zip the data to database and to http.
Process Date/Time: 2020-02-25 00:00:00
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 58922
GUID: gov.noaa.nmfs.inport:58922
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2020-02-25 15:09+0000
Metadata Record Last Modified By: Rebecca Mataosky
Metadata Record Last Modified: 2023-12-08 16:37+0000
Metadata Record Published: 2022-03-16
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-03-16
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-03-16