Search Help Show/Hide Menu
Completion Rubric
83%
29 / 35
View Report
OCM Partners Metadata Library > DEMs - partner (no harvest) >

2019 USGS Lidar DEM: Osh Kosh 3 Rivers (MN, WI)

Data Set (DS)  |  OCM Partners (OCMP)
GUID: gov.noaa.nmfs.inport:77167  |  Updated: August 15, 2025  |  Published / External 
Summary
Item Identification
Keywords
Physical Location
Data Set Info
Support Roles
Extents
Spatial Info
Access Info
Distribution Info
URLs
Tech Environment
Data Quality
Data Management
Lineage
Related Items
Catalog Details

Summary

Browse graphic

Short Citation
OCM Partners, 2026: 2019 USGS Lidar DEM: Osh Kosh 3 Rivers (MN, WI), https://www.fisheries.noaa.gov/inport/item/77167.
Full Citation Examples

Abstract

Original Product: These are Digital Elevation Model (DEM) data for Wisconsin and Minnesota as part of the required deliverables for the Oshkosh 3 Rivers 2018 project. Class 2 (ground) LiDAR points in conjunction with the hydro breaklines were used to create a 1.0 meter hydro-flattened Raster DEM.

Original Dataset Geographic Extent: 4 counties in Wisconsin: Barron, Dunn, Oconto, Sheboygan and the city of Osh Kosh and Pine County in Minnesota.

Original Dataset Description: The Oshkosh 3 Rivers project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD 1983 2011 Contiguous USA Albers, Meter and vertical datum of NAVD88 GEOID 12b, Meter. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to individual 1000 m x 1000 m tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 1000 m x 1000 m schema. Continuous breaklines were produced in Esri file geodatabase format.

Ground Conditions: LiDAR was collected in spring 2019, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines.

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 GeoTIFF files hosted by USGS on Amazon Web Services.

Purpose

To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create intensity images, breaklines and raster DEMs. The purpose of these LiDAR data was to produce high accuracy 3D hydro-flattened digital elevation models (DEMs) with a 1.0 meter cell size. These raw LiDAR point cloud data were used to create classified LiDAR LAS files, intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.

Data Access & Downloads

  • Customized Download

    Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base.

  • Bulk Download
    GeoTIFF

    Bulk download of data files in GeoTIFF format, Albers Conic NAD83(2011) coordinates in meters and elevations in NAVD88(GEOID12B) meters.

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, DIGITAL ELEVATION/TERRAIN MODEL (DEM), elevation, TERRAIN ELEVATION

URLs

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

-93.156651° W, -87.689848° E, 46.429365° N, 43.532423° S

Time Frame 1
2019-05-14 - 2019-05-21

Pine County

Time Frame 2
2019-04-19 - 2019-04-20

Sheboygan County

Time Frame 3
2019-04-19

City of Osh Kosh

Time Frame 4
2019-05-04 - 2019-05-14

Oconto County

Time Frame 5
2019-05-07 - 2019-05-15

Barron and Dunn Counties

Item Identification

Title: 2019 USGS Lidar DEM: Osh Kosh 3 Rivers (MN, WI)
Short Name: wi2019_oshkosh_3rivers_dem_m10415
Status: Completed
Creation Date: 2019
Publication Date: 2025
Abstract:

Original Product: These are Digital Elevation Model (DEM) data for Wisconsin and Minnesota as part of the required deliverables for the Oshkosh 3 Rivers 2018 project. Class 2 (ground) LiDAR points in conjunction with the hydro breaklines were used to create a 1.0 meter hydro-flattened Raster DEM.

Original Dataset Geographic Extent: 4 counties in Wisconsin: Barron, Dunn, Oconto, Sheboygan and the city of Osh Kosh and Pine County in Minnesota.

Original Dataset Description: The Oshkosh 3 Rivers project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD 1983 2011 Contiguous USA Albers, Meter and vertical datum of NAVD88 GEOID 12b, Meter. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to individual 1000 m x 1000 m tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 1000 m x 1000 m schema. Continuous breaklines were produced in Esri file geodatabase format.

Ground Conditions: LiDAR was collected in spring 2019, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines.

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 GeoTIFF files hosted by USGS on Amazon Web Services.
Purpose:

To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create intensity images, breaklines and raster DEMs. The purpose of these LiDAR data was to produce high accuracy 3D hydro-flattened digital elevation models (DEMs) with a 1.0 meter cell size. These raw LiDAR point cloud data were used to create classified LiDAR LAS files, intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.
Supplemental Information:

Raster File Type = IMG; Bit Depth/Pixel Type = 32-bit float ; Raster Cell Size = 1.0 meter; Interpolation or Resampling Technique = Triangulated Irregular Network (TIN), Linear Interpolation, Proprietary; Required Vertical Accuracy = 0.196

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 > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM)
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 > MINNESOTA
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: None Planned
Data Presentation Form: Model (digital)
Distribution Liability:

Any conclusions drawn from the analysis of this information are not the responsibility of Quantum Spatial, Inc, USGS, NOAA, the Office for Coastal Management or its partners.
Data Set Credit: Quantum Spatial, Inc., USGS

Support Roles

Data Steward

CC ID: 1410208
Date Effective From: 2025
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: 1410207
Date Effective From: 2025
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: 1410419
Date Effective From: 2020
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: 1410209
Date Effective From: 2025
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: 1410210
Date Effective From: 2025
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: 1410233
W° Bound: -93.156651
E° Bound: -87.689848
N° Bound: 46.429365
S° Bound: 43.532423

Extent Group 1 / Time Frame 1

CC ID: 1410228
Time Frame Type: Range
Start: 2019-05-14
End: 2019-05-21
Description:

Pine County

Extent Group 1 / Time Frame 2

CC ID: 1410229
Time Frame Type: Range
Start: 2019-04-19
End: 2019-04-20
Description:

Sheboygan County

Extent Group 1 / Time Frame 3

CC ID: 1410230
Time Frame Type: Discrete
Start: 2019-04-19
Description:

City of Osh Kosh

Extent Group 1 / Time Frame 4

CC ID: 1410231
Time Frame Type: Range
Start: 2019-05-04
End: 2019-05-14
Description:

Oconto County

Extent Group 1 / Time Frame 5

CC ID: 1410232
Time Frame Type: Range
Start: 2019-05-07
End: 2019-05-15
Description:

Barron and Dunn Counties

Spatial Information

Spatial Representation

Representations Used

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

Reference Systems

Reference System 1

CC ID: 1410421

Coordinate Reference System
CRS Type: Vertical
EPSG Code: EPSG:5703
EPSG Name: NAVD88 height
▾ See Full Coordinate Reference System Information

Reference System 2

CC ID: 1410420

Coordinate Reference System
CRS Type: Projected
EPSG Code: EPSG:6350
EPSG Name: NAD83(2011) / Conus Albers
▾ 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: 1410211
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10415/details/10415
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2025 - Present)
File Name: Customized Download
Description:

Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base.
File Type (Deprecated): Zip
Compression: Zip

Distribution 2

CC ID: 1410212
Download URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WI_Oshkosh_3Rivers_2018_D19/
Distributor: U.S. Geological Survey (2020 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in GeoTIFF format, Albers Conic NAD83(2011) coordinates in meters and elevations in NAVD88(GEOID12B) meters.

File Type (Deprecated): LAZ
Distribution Format: GeoTIFF

URLs

URL 1

CC ID: 1410213
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9199/supplemental/index.html
Name: Accuracy reports
URL Type:
Online Resource
Description:

Quantum Spatial, Inc. accuracy reports.

URL 2

CC ID: 1410214
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9199/supplemental/wi2019_oshkosh_m9199.kmz
Name: Browse graphic
URL Type:
Browse Graphic
Browse graphic
File Resource Format: KML
Description:

This graphic displays the footprint for this lidar data set.

URL 3

CC ID: 1410215
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9199/supplemental/Oshkosh_3_Rivers_2018_LiDAR_Project_Report.pdf
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to data set report.

URL 4

CC ID: 1410216
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9199/breaklines/index.html
Name: Breaklines
URL Type:
Online Resource
Description:

Breaklines

URL 5

CC ID: 1410422
URL: https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/WI_Oshkosh_3Rivers_2018_D19/WI_Oshkosh_3Rivers_2018_D19_WP_Report.pdf
Name: USGS Project Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the USGS Project Report that provides information about the project, vertical accuracy results, and the point classes and sensors used.

Technical Environment

Description:

MicroStation Version 8; TerraScan Version 18; TerraModeler Version 18; GeoCue Version 2017.1.14.1; Esri ArcGIS 10.3; Global Mapper 19; Leica Cloud Pro 1.2.4, RiProcess 1.8.5; Windows 10 Operating System

\\point_cloud\tilecls\*.las

Data Quality

Vertical Positional Accuracy:

USGS DETERMINED DEM VERTICAL ACCURACY:

NVA is 3.9 cm RMSE

VVA is 16.93 cm at 95th Percentile

A link to the USGS project report is available in the URL section.
Completeness Report:

Datasets contain complete coverage of tiles. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. There are no void areas or missing data. The raw point cloud is of good quality and data pass Non-Vegetated Vertical Accuracy specifications.
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-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

Lineage Statement:

The NOAA Office for Coastal Management (OCM) ingested references to the USGS GeoTIFF files that are hosted on Amazon Web Services (AWS), into the Digital Coast Data Access Viewer (DAV). The DAV accesses the raster data as it resides on AWS.

Sources

Quantum Spatial, Inc. - Lidar data collection

CC ID: 1410222

USGS AWS GeoTIFF Files - WI_Oshkosh_3Rivers_B1

CC ID: 1410223
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WI_Oshkosh_3Rivers_2018_D19/WI_Oshkosh_3Rivers_B1_2018/TIFF/
Citation URL Name: USGS AWS GeoTIFF Files for WI_Oshkosh_3Rivers_B1

USGS AWS GeoTIFF Files - WI_Oshkosh_3Rivers_B2

CC ID: 1410423
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WI_Oshkosh_3Rivers_2018_D19/WI_Oshkosh_3Rivers_B2_2018/TIFF/
Citation URL Name: USGS AWS GeoTIFF Files for WI_Oshkosh_3Rivers_B2

USGS AWS GeoTIFF Files - WI_Oshkosh_3Rivers_FondDuLac_TL

CC ID: 1410424
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WI_Oshkosh_3Rivers_2018_D19/WI_Oshkosh_3Rivers_FondDuLac_TL_2018/TIFF/
Citation URL Name: USGS AWS GeoTIFF Files for WI_Oshkosh_3Rivers_FondDuLac_TL

USGS AWS GeoTIFF Files - WI_Oshkosh_3Rivers_ForestCountyPotawatomi_TL

CC ID: 1410425
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WI_Oshkosh_3Rivers_2018_D19/WI_Oshkosh_3Rivers_ForestCountyPotawatomi_TL_2018/TIFF/
Citation URL Name: USGS AWS GeoTIFF Files for WI_Oshkosh_3Rivers_ForestCountyPotawatomi_TL

USGS AWS GeoTIFF Files - WI_Oshkosh_3Rivers_Menominee_TL

CC ID: 1410426
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WI_Oshkosh_3Rivers_2018_D19/WI_Oshkosh_3Rivers_Menominee_TL_2018/TIFF/
Citation URL Name: USGS AWS GeoTIFF Files for WI_Oshkosh_3Rivers_Menominee_TL

USGS AWS GeoTIFF Files - WI_Oshkosh_3Rivers_StCroix_TL

CC ID: 1410427
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WI_Oshkosh_3Rivers_2018_D19/WI_Oshkosh_3Rivers_StCroix_TL_2018/TIFF/
Citation URL Name: USGS AWS GeoTIFF Files for WI_Oshkosh_3Rivers_StCroix_TL

Process Steps

Process Step 1

CC ID: 1410224
Description:

Raw Data and Boresight Processing: 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 Quantum Spatial, Inc. proprietary and commercial 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 technicians then analyzed the results and made any necessary additional adjustment until it was 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 matched 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 checkpoints after the z correction to ensure the requirement of NVA = 19.6 cm 95% Confidence Level (Required Accuracy) was met.
Process Date/Time: 2020-01-01 00:00:00

Process Step 2

CC ID: 1410225
Description:

LAS Point Classification: The point classification was performed as described below. The bare earth surface was manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface was finalized, it was then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) LiDAR data inside of the Lake Pond and Double Line Drain hydro-flattened breaklines were then classified to Water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 1 meter was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 20). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes. The overlap data was classified using standard LAS overlap bit. These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the withheld bit within various software packages. These processes were reviewed and accepted through numerous conference calls and pilot study areas. All data were manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper was used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth. Quantum Spatial, Inc. proprietary software was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information.
Process Date/Time: 2020-01-01 00:00:00

Process Step 3

CC ID: 1410226
Description:

Hydro-Flattened Raster DEM Processing: Class 2 (Ground) LiDAR points in conjunction with the hydro-breaklines were used to create a 1.0 meter hydro-flattened raster DEM. Using automated scripting routines within ArcMap, IMG files were created for each tile. Each surface was reviewed using Global Mapper to check for any surface anomalies or incorrect elevations found within the surface.

Process Step 4

CC ID: 1410428
Description:

The NOAA Office for Coastal Management (OCM) created references to the USGS GeoTIFF files that were ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the raster data as it resides on Amazon Web Services (AWS).

These are the GeoTIFF files that are being accessed:

https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WI_Oshkosh_3Rivers_2018_D19/WI_Oshkosh_3Rivers_B1_2018/TIFF/

https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WI_Oshkosh_3Rivers_2018_D19/WI_Oshkosh_3Rivers_B2_2018/TIFF/

https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WI_Oshkosh_3Rivers_2018_D19/WI_Oshkosh_3Rivers_FondDuLac_TL_2018/TIFF/

https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WI_Oshkosh_3Rivers_2018_D19/WI_Oshkosh_3Rivers_ForestCountyPotawatomi_TL_2018/TIFF/

https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WI_Oshkosh_3Rivers_2018_D19/WI_Oshkosh_3Rivers_Menominee_TL_2018/TIFF/

https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WI_Oshkosh_3Rivers_2018_D19/WI_Oshkosh_3Rivers_StCroix_TL_2018/TIFF/
Process Date/Time: 2025-08-18 00:00:00
Process Contact: NOAA Office for Coastal Management (NOAA/OCM)
Email Address: coastal.info@noaa.gov
Phone (Voice): (843) 740-1202

Related Items

Item Type Relationship Type Title
Data Set (DS) Cross Reference 2019 USGS Lidar: Oshkosh 3 Rivers (MN,WI)

Catalog Details

Catalog Item ID: 77167
GUID: gov.noaa.nmfs.inport:77167
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2025-08-14 18:42+0000
Metadata Record Last Modified By: Rebecca Mataosky
Metadata Record Last Modified: 2025-08-15 20:44+0000
Metadata Record Published: 2025-08-15
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