2021 USGS Lidar DEM: WI Statewide
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:76783 | Updated: March 4, 2026 | Published / External
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Summary
Short Citation
OCM Partners, 2026: 2021 USGS Lidar DEM: WI Statewide, https://www.fisheries.noaa.gov/inport/item/76783.
Full Citation Examples
Product: These are Digital Elevation Model (DEM) data for Wisconsin as part of the required deliverables for the WI_Statewide_2021_B2 project. Class 2 (ground) LiDAR points in conjunction with the hydro breaklines were used to create a 2 foot hydro-flattened Raster DEM.
Geographic Extent: 8 counties in Wisconsin, covering approximately 6733 total square miles.
Crawford - covers approximately 606 square miles
Juneau - covers approximately 813 square miles
Keweenaw - covers approximately 349 square miles
Marathon - covers approximately 1586 square miles
Marinette - covers approximately 1443 square miles
Pierce - covers approximately 599 square miles
Richland - covers approximately 595 square miles
St. Croix - covers approximately 742 square miles
Dataset Description: The 37876_WI_Statewide_2021_B21 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, 2020 rev. A. The data were developed based on a horizontal projection/datum of NAD 1983 2011 WISCRS, Foot US and vertical datum of NAVD88 Geoid 18, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to individual 4500 ft x 4500 ft tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 4500 ft x 4500 ft schema. Continuous breaklines were produced in Esri file geodatabase format.
Ground Conditions: LiDAR was collected in spring 2021, 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, NV5 Geospatial utilized ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. Additional independent accuracy checkpoints, were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. These checkpoints were not used to calibrate or post process the data.
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.
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 2 foot 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
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Format: Not Applicable
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.
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GeoTIFF
Bulk download of data files in GeoTIFF format, WISCRS NAD83(2011), US ft coordinates and elevations in NAVD88 (GEOID18) feet.
None
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
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Lidar report for Juneau County
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Lidar report for Kewaunee County
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Lidar report for Marathon County
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Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer.
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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.
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Lidar report for Marinette County
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Lidar report for Pierce County
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Lidar report for Richland County
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Lidar report for St. Croix County
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Lidar report for Crawford County
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This link is to the reports, breaklines, metadata, spatial metadata, and shapefiles available from USGS.
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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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
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Link to the USGS project report which provides information about the project, the vertical accuracy results, the point classifications and the sensors used.
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
-90.33° W,
-88.86° E,
45.13° N,
44.66° S
Marathon County
2021-04-16 - 2021-04-22
Dates of collection for Marathon County.
Item Identification
| Title: | 2021 USGS Lidar DEM: WI Statewide |
|---|---|
| Short Name: | wi2021_statewide_dem_m10393 |
| Status: | Completed |
| Creation Date: | 2021 |
| Publication Date: | 2022-09-29 |
| Abstract: |
Product: These are Digital Elevation Model (DEM) data for Wisconsin as part of the required deliverables for the WI_Statewide_2021_B2 project. Class 2 (ground) LiDAR points in conjunction with the hydro breaklines were used to create a 2 foot hydro-flattened Raster DEM. Geographic Extent: 8 counties in Wisconsin, covering approximately 6733 total square miles. Crawford - covers approximately 606 square miles Juneau - covers approximately 813 square miles Keweenaw - covers approximately 349 square miles Marathon - covers approximately 1586 square miles Marinette - covers approximately 1443 square miles Pierce - covers approximately 599 square miles Richland - covers approximately 595 square miles St. Croix - covers approximately 742 square miles Dataset Description: The 37876_WI_Statewide_2021_B21 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, 2020 rev. A. The data were developed based on a horizontal projection/datum of NAD 1983 2011 WISCRS, Foot US and vertical datum of NAVD88 Geoid 18, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to individual 4500 ft x 4500 ft tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 4500 ft x 4500 ft schema. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring 2021, 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, NV5 Geospatial utilized ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. Additional independent accuracy checkpoints, were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. These checkpoints were not used to calibrate or post process the data. 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 2 foot 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 = GeoTIFF; Bit Depth/Pixel Type = 32-bit float; Raster Cell Size = 2 feet; 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 > WISCONSIN
|
| Global Change Master Directory (GCMD) Location Keywords |
VERTICAL LOCATION > LAND SURFACE
|
| UNCONTROLLED | |
| None | Crawford County |
| None | Juneau County |
| None | Keweenaw County |
| None | Marathon County |
| None | Marinette County |
| None | Pierce County |
| None | Richland County |
| None | St. Croix 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: | Ayers, NV5 Geospatial, USGS |
Support Roles
Data Steward
| 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
| 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
| Date Effective From: | 2022 |
|---|---|
| Date Effective To: | |
| Contact (Organization): | U.S. Geological Survey |
| Address: |
12201 Sunrise Valley Drive Reston, VA 20191 USA |
| URL: | USGS Home |
Metadata Contact
| 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
| 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
| W° Bound: | -90.33 | |
|---|---|---|
| E° Bound: | -88.86 | |
| N° Bound: | 45.13 | |
| S° Bound: | 44.66 | |
| Description |
Marathon County |
|
Extent Group 1 / Time Frame 1
| Time Frame Type: | Range |
|---|---|
| Start: | 2021-04-16 |
| End: | 2021-04-22 |
| Description: |
Dates of collection for Marathon County. |
Extent Group 2
Extent Group 2 / Geographic Area 1
| W° Bound: | -91.22 | |
|---|---|---|
| E° Bound: | -90.66 | |
| N° Bound: | 43.43 | |
| S° Bound: | 42.98 | |
| Description |
Crawford County |
|
Extent Group 2 / Time Frame 1
| Time Frame Type: | Range |
|---|---|
| Start: | 2021-03-28 |
| End: | 2021-04-01 |
| Description: |
Dates of collection for Crawford County. |
Extent Group 3
Extent Group 3 / Geographic Area 1
| W° Bound: | -90.67 | |
|---|---|---|
| E° Bound: | -90.18 | |
| N° Bound: | 43.56 | |
| S° Bound: | 43.16 | |
| Description |
Richland County |
|
Extent Group 3 / Time Frame 1
| Time Frame Type: | Range |
|---|---|
| Start: | 2021-03-29 |
| End: | 2021-04-01 |
| Description: |
Dates of collection for Richland County |
Extent Group 4
Extent Group 4 / Geographic Area 1
| W° Bound: | -87.77 | |
|---|---|---|
| E° Bound: | -87.37 | |
| N° Bound: | 44.68 | |
| S° Bound: | 44.32 | |
| Description |
Kewaunee County |
|
Extent Group 4 / Time Frame 1
| Time Frame Type: | Range |
|---|---|
| Start: | 2021-04-03 |
| End: | 2021-04-22 |
| Description: |
Dates of collection for Kewaunee County |
Extent Group 5
Extent Group 5 / Geographic Area 1
| W° Bound: | -90.32 | |
|---|---|---|
| E° Bound: | -89.78 | |
| N° Bound: | 44.26 | |
| S° Bound: | 43.64 | |
| Description |
Juneau County |
|
Extent Group 5 / Time Frame 1
| Time Frame Type: | Range |
|---|---|
| Start: | 2021-03-29 |
| End: | 2021-04-22 |
| Description: |
Dates of collection for Juneau County |
Extent Group 6
Extent Group 6 / Geographic Area 1
| W° Bound: | -92.81 | |
|---|---|---|
| E° Bound: | -92.13 | |
| N° Bound: | 45.22 | |
| S° Bound: | 44.85 | |
| Description |
St. Croix County |
|
Extent Group 6 / Time Frame 1
| Time Frame Type: | Range |
|---|---|
| Start: | 2021-04-01 |
| End: | 2021-04-22 |
| Description: |
Dates of collection for St. Croix County |
Extent Group 7
Extent Group 7 / Geographic Area 1
| W° Bound: | -92.82 | |
|---|---|---|
| E° Bound: | -92.13 | |
| N° Bound: | 44.86 | |
| S° Bound: | 44.53 | |
| Description |
Pierce County |
|
Extent Group 7 / Time Frame 1
| Time Frame Type: | Range |
|---|---|
| Start: | 2021-04-01 |
| End: | 2021-04-22 |
| Description: |
Dates of collection for Pierce County |
Extent Group 8
Extent Group 8 / Geographic Area 1
| W° Bound: | -88.45 | |
|---|---|---|
| E° Bound: | -87.56 | |
| N° Bound: | 45.81 | |
| S° Bound: | 44.97 | |
| Description |
Marinette County |
|
Extent Group 8 / Time Frame 1
| Time Frame Type: | Range |
|---|---|
| Start: | 2021-04-01 |
| End: | 2021-04-22 |
| Description: |
Dates of collection for Marinette County |
Spatial Information
Spatial Representation
Representations Used
| Grid: | Yes |
|---|---|
| Vector: | No |
| Text / Table: | No |
| TIN: | No |
| Stereo Model: | No |
| Video: | No |
Reference Systems
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Reference System 2
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Reference System 3
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Reference System 4
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Reference System 5
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Reference System 6
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Reference System 7
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Reference System 8
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Reference System 9
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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
| Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10393/details/10393 |
|---|---|
| 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 |
| Distribution Format: | Not Applicable |
| Compression: | Zip |
Distribution 2
| Download URL: | https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WI_Statewide_2021_B21/ |
|---|---|
| Distributor: | U.S. Geological Survey (2022 - Present) |
| File Name: | Bulk Download |
| Description: |
Bulk download of data files in GeoTIFF format, WISCRS NAD83(2011), US ft coordinates and elevations in NAVD88 (GEOID18) feet. |
| File Type (Deprecated): | LAZ |
| Distribution Format: | GeoTIFF |
URLs
URL 1
| URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/WI_Statewide_2021_B21/WI_StWide_6_Juneau_2021/reports/Final_37876_WI_8_Counties_Juneau_Report.pdf |
|---|---|
| Name: | Lidar Report - Juneau County |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Lidar report for Juneau County |
URL 2
| URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/WI_Statewide_2021_B21/WI_StWide_7_Kewaunee_2021/reports/Final_37876_WI_8_Counties_Kewaunee.pdf |
|---|---|
| Name: | Lidar Report - Kewaunee County |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Lidar report for Kewaunee County |
URL 3
| URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/WI_Statewide_2021_B21/WI_StWide_8_Marathon_2021/reports/Final_37876_WI_8_Counties_Marathon.pdf |
|---|---|
| Name: | Lidar Report - Marathon County |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Lidar report for Marathon County |
URL 4
URL 5
| 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 6
| URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/WI_Statewide_2021_B21/WI_StWide_1_Marinette_2021/reports/Final_37876_WI_8_Counties_Marinette_Report.pdf |
|---|---|
| Name: | Lidar Report - Marinette County |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Lidar report for Marinette County |
URL 7
| URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/WI_Statewide_2021_B21/WI_StWide_2_Pierce_2021/reports/Final_37876_WI_8_Counties_Pierce_Report.pdf |
|---|---|
| Name: | Lidar Report - Pierce County |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Lidar report for Pierce County |
URL 8
| URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/WI_Statewide_2021_B21/WI_StWide_3_Richland_2021/reports/Final_37876_WI_8_Counties_Richland_Report.pdf |
|---|---|
| Name: | Lidar Report - Richland County |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Lidar report for Richland County |
URL 9
| URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/WI_Statewide_2021_B21/WI_StWide_4_StCroix_2021/reports/Final_37876_WI_8_Counties_StCroix.pdf |
|---|---|
| Name: | Lidar Report - St. Croix County |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Lidar report for St. Croix County |
URL 10
| URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/WI_Statewide_2021_B21/WI_StWide_5_Crawford_2021/reports/Final_37876_WI_8_Counties_Crawford.pdf |
|---|---|
| Name: | Lidar Report - Crawford County |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Lidar report for Crawford County |
URL 11
| URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/WI_Statewide_2021_B21/ |
|---|---|
| Name: | USGS Additional Info |
| URL Type: |
Online Resource
|
| Description: |
This link is to the reports, breaklines, metadata, spatial metadata, and shapefiles available from USGS. |
URL 12
| URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_1_Marinette_2021/ept.json |
|---|---|
| Name: | USGS Entwine Point Tile (EPT) - Marinette County |
| 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 13
| URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_2_Pierce_2021/ept.json |
|---|---|
| Name: | USGS Entwine Point Tile (EPT) - Pierce County |
| 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 14
| URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_3_Richland_2021/ept.json |
|---|---|
| Name: | USGS Entwine Point Tile (EPT) - Richland County |
| 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 15
| URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_4_StCroix_2021/ept.json |
|---|---|
| Name: | USGS Entwine Point Tile (EPT) - St. Croix County |
| 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 16
| URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_5_Crawford_2021/ept.json |
|---|---|
| Name: | USGS Entwine Point Tile (EPT) - Crawford County |
| 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 17
| URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_6_Juneau_2021/ept.json |
|---|---|
| Name: | USGS Entwine Point Tile (EPT) - Juneau County |
| 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 18
| URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_7_Kewaunee_2021/ept.json |
|---|---|
| Name: | USGS Entwine Point Tile (EPT) - Kewaunee County |
| 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 19
| URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_8_Marathon_2021/ept.json |
|---|---|
| Name: | USGS Entwine Point Tile (EPT) - Marathon County |
| 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 20
| URL: | https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/WI_Statewide_2021_B21/USGS_WI_Statewide_2021_B21_Project_Report.pdf |
|---|---|
| Name: | USGS Project Report |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Link to the USGS project report which provides information about the project, the vertical accuracy results, the point classifications and the sensors used. |
Technical Environment
| Description: |
MicroStation Connect; TerraScan Version 20.011; TerraModeler Version 20.004; GeoCue Version 2017.1.14.1; Esri ArcGIS 10.6; Global Mapper 19/20; RiProcess 1.8.6; Windows 10 Operating System \\point_cloud\tilecls\*.las |
|---|
Data Quality
| Horizontal Positional Accuracy: |
Lidar horizontal accuracy is a function of Global Navigation Satellite System (GNSS) derived positional error, flying altitude, and INS derived attitude error. The obtained RMSEr value is multiplied by a conversion factor of 1.7308 to yield the horizontal component of the National Standards for Spatial Data Accuracy (NSSDA) reporting standard where a theoretical point will fall within the obtained radius 95% of the time. Based on a flying altitude of 7,545 feet, an IMU error of 0.002 decimal degrees, and a GNSS positional error of 0.015 meters (0.049 ft), this project was compiled to meet 0.25 (0.82 ft) meter horizontal accuracy at the 95% confidence level (or 0.14 m RMSEr). |
|---|---|
| Vertical Positional Accuracy: |
This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class. USGS Determined DEM Vertical Accuracy: Non-Vegetated Vertical Accuracy (NVA) = 3.3 cm RMSE Vegetated Vertical Accuracy (VVA) = 16.75 cm at the 95th Percentile |
| 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
USGS AWS GeoTIFF Files - WI_StWide_1_Marinette
| 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_Statewide_2021_B21/WI_StWide_1_Marinette_2021/TIFF/ |
| Citation URL Name: | USGS AWS GeoTIFF Files for WI_StWide_1_Marinette |
USGS AWS GeoTIFF Files - WI_StWide_2_Pierce
| 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_Statewide_2021_B21/WI_StWide_2_Pierce_2021/TIFF/ |
| Citation URL Name: | USGS AWS GeoTIFF Files for WI_StWide_2_Pierce |
USGS AWS GeoTIFF Files - WI_StWide_3_Richland
| 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_Statewide_2021_B21/WI_StWide_3_Richland_2021/TIFF/ |
| Citation URL Name: | USGS AWS GeoTIFF Files for WI_StWide_3_Richland |
USGS AWS GeoTIFF Files - WI_StWide_4_StCroix
| 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_Statewide_2021_B21/WI_StWide_4_StCroix_2021/TIFF/ |
| Citation URL Name: | USGS AWS GeoTIFF Files for WI_StWide_4_StCroix |
USGS AWS GeoTIFF Files - WI_StWide_5_Crawford
| 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_Statewide_2021_B21/WI_StWide_5_Crawford_2021/TIFF/ |
| Citation URL Name: | USGS AWS GeoTIFF Files for WI_StWide_5_Crawford |
USGS AWS GeoTIFF Files - WI_StWide_6_Juneau
| 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_Statewide_2021_B21/WI_StWide_6_Juneau_2021/TIFF/ |
| Citation URL Name: | USGS AWS GeoTIFF Files for WI_StWide_6_Juneau |
USGS AWS GeoTIFF Files - WI_StWide_7_Kewaunee
| 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_Statewide_2021_B21/WI_StWide_7_Kewaunee_2021/TIFF/ |
| Citation URL Name: | USGS AWS GeoTIFF Files for WI_StWide_7_Kewaunee |
USGS AWS GeoTIFF Files - WI_StWide_8_Marathon
| 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_Statewide_2021_B21/WI_StWide_8_Marathon_2021/TIFF/ |
| Citation URL Name: | USGS AWS GeoTIFF Files for WI_StWide_8_Marathon |
Process Steps
Process Step 1
| 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 NV5 Geospatial 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: | 2022-01-01 00:00:00 |
Process Step 2
| 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 proprietary tools. A buffer of 3.0 foot 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. Any noise that was identified either through manual review or automated routines was classified to the appropriate class ( ASPRS Class 7 and/or ASPRS Class 18) followed by flagging with the withheld bit. 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 Point Cloud Data and the Bare Earth. NV5 Geospatial 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: | 2022-01-01 00:00:00 |
Process Step 3
| Description: |
Hydro-Flattened Raster DEM Processing: Class 2 (Ground) LiDAR points in conjunction with the hydro-breaklines were used to create a 2 foot hydro-flattened raster DEM. Using automated scripting routines in proprietary software, GeoTIFF 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 Contact: | U.S. Geological Survey |
Process Step 4
| 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_Statewide_2021_B21/WI_StWide_1_Marinette_2021/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WI_Statewide_2021_B21/WI_StWide_2_Pierce_2021/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WI_Statewide_2021_B21/WI_StWide_3_Richland_2021/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WI_Statewide_2021_B21/WI_StWide_4_StCroix_2021/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WI_Statewide_2021_B21/WI_StWide_5_Crawford_2021/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WI_Statewide_2021_B21/WI_StWide_6_Juneau_2021/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WI_Statewide_2021_B21/WI_StWide_7_Kewaunee_2021/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WI_Statewide_2021_B21/WI_StWide_8_Marathon_2021/TIFF/ |
|---|---|
| Process Date/Time: | 2025-07-30 00:00:00 |
| Process Contact: | Office for Coastal Management (OCM) |
| ROR: | https://ror.org/05v14bq57 |
Related Items
| Item Type | Relationship Type | Title |
|---|---|---|
| Data Set (DS) | Cross Reference |
2021 USGS Lidar: WI Statewide |
Catalog Details
| Catalog Item ID: | 76783 |
|---|---|
| GUID: | gov.noaa.nmfs.inport:76783 |
| Metadata Record Created By: | Rebecca Mataosky |
| Metadata Record Created: | 2025-07-29 13:53+0000 |
| Metadata Record Last Modified By: | SysAdmin InPortAdmin |
| Metadata Record Last Modified: | 2026-03-04 19:17+0000 |
| Metadata Record Published: | 2025-07-30 |
| Owner Org: | OCMP |
| Metadata Publication Status: | Published Externally |
| Do Not Publish?: | N |
| Metadata Last Review Date: | 2023-02-28 |
| Metadata Review Frequency: | 1 Year |
| Metadata Next Review Date: | 2024-02-28 |