gov.noaa.nmfs.inport:69369 eng UTF8 dataset Elevation OCM Partners resourceProvider NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact 2026-04-30T00:00:00 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) EPSG::3857 EPSG::5703 2021 USGS Lidar: WI Statewide wi2021_statewide_m9768_metadata 2021 creation 2022-09-29 publication NOAA/NMFS/EDM 69369 https://www.fisheries.noaa.gov/inport/item/69369 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_7_Kewaunee_2021/ept.json WWW:LINK-1.0-http--link USGS Entwine Point Tile (EPT) - Kewaunee County 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. download https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_6_Juneau_2021/ept.json WWW:LINK-1.0-http--link USGS Entwine Point Tile (EPT) - Juneau County 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. download https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_5_Crawford_2021/ept.json WWW:LINK-1.0-http--link USGS Entwine Point Tile (EPT) - Crawford County 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. download https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_4_StCroix_2021/ept.json WWW:LINK-1.0-http--link USGS Entwine Point Tile (EPT) - St. Croix County 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. download https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_3_Richland_2021/ept.json WWW:LINK-1.0-http--link USGS Entwine Point Tile (EPT) - Richland County 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. download https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_2_Pierce_2021/ept.json WWW:LINK-1.0-http--link USGS Entwine Point Tile (EPT) - Pierce County 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. download https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_1_Marinette_2021/ept.json WWW:LINK-1.0-http--link USGS Entwine Point Tile (EPT) - Marinette County 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. download https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_8_Marathon_2021/ept.json WWW:LINK-1.0-http--link USGS Entwine Point Tile (EPT) - Marathon County 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. download 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 WWW:LINK-1.0-http--link Lidar Report - Crawford County Lidar report for Crawford County download 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 WWW:LINK-1.0-http--link Lidar Report - Juneau County Lidar report for Juneau County download 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 WWW:LINK-1.0-http--link Lidar Report - Kewaunee County Lidar report for Kewaunee County download 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 WWW:LINK-1.0-http--link Lidar Report - Marathon County Lidar report for Marathon County download 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 WWW:LINK-1.0-http--link Lidar Report - Marinette County Lidar report for Marinette County download 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 WWW:LINK-1.0-http--link Lidar Report - Pierce County Lidar report for Pierce County download 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 WWW:LINK-1.0-http--link Lidar Report - Richland County Lidar report for Richland County download 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 WWW:LINK-1.0-http--link Lidar Report - St. Croix County Lidar report for St. Croix County download https://usgs.entwine.io/data/view.html?r=[%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_1_Marinette_2021/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_2_Pierce_2021/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_3_Richland_2021/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_4_StCroix_2021/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_5_Crawford_2021/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_6_Juneau_2021/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_7_Kewaunee_2021/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_8_Marathon_2021/ept.json%22] WWW:LINK-1.0-http--link USGS 3D View Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer. download https://coast.noaa.gov/dataviewer/ WWW:LINK-1.0-http--link NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) 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. download https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/WI_Statewide_2021_B21/ WWW:LINK-1.0-http--link USGS Additional Info This link is to the reports, breaklines, metadata, spatial metadata, and shapefiles available from USGS. download Product: These lidar data are processed Classified LAS 1.4 files, formatted to individual 4500 ft x 4500 ft tiles; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary. 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 Entwine Point Tiles (EPT) 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. Ayers, NV5 Geospatial, USGS completed NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information custodian notPlanned EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION theme Global Change Master Directory (GCMD) Science Keywords 23.3 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > WISCONSIN VERTICAL LOCATION > LAND SURFACE place Global Change Master Directory (GCMD) Location Keywords 23.3 LIDAR > Light Detection and Ranging instrument Global Change Master Directory (GCMD) Instrument Keywords 23.3 Airplane > Airplane platform Global Change Master Directory (GCMD) Platform Keywords 23.3 Crawford County Juneau County Keweenaw County Marathon County Marinette County Pierce County Richland County St. Croix County place Lidar - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2021 USGS Lidar: WI Statewide [Data Date Range], https://www.fisheries.noaa.gov/inport/item/69369. NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose. otherRestrictions Access Constraints: None otherRestrictions 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. otherRestrictions 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. unclassified 2021 USGS Lidar DEM: WI Statewide NOAA/NMFS/EDM 76783 crossReference vector eng; US elevation 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 -90.33 -88.86 44.66 45.13 Marathon County Dates of collection for Marathon County. | Currentness: Ground Condition 2021-04-16 2021-04-22 -92.81 -92.13 44.85 45.22 St. Croix County Dates of collection for St. Croix County | Currentness: Ground Condition 2021-04-01 2021-04-22 -91.22 -90.66 42.98 43.43 Crawford County Dates of collection for Crawford County. | Currentness: Ground Condition 2021-03-28 2021-04-01 -90.67 -90.18 43.16 43.56 Richland County Dates of collection for Richland County | Currentness: Ground Condition 2021-03-29 2021-04-01 -87.77 -87.37 44.32 44.68 Kewaunee County Dates of collection for Kewaunee County | Currentness: Ground Condition 2021-04-03 2021-04-22 -90.32 -89.78 43.64 44.26 Juneau County Dates of collection for Juneau County | Currentness: Ground Condition 2021-03-29 2021-04-22 -92.82 -92.13 44.53 44.86 Pierce County Dates of collection for Pierce County | Currentness: Ground Condition 2021-04-01 2021-04-22 -88.45 -87.56 44.97 45.81 Marinette County Dates of collection for Marinette County | Currentness: Ground Condition 2021-04-01 2021-04-22 Contract No. G16PC00016, Task Order No. 140G0221F0085; CONTRACTOR: NV5 Geospatial The following are the USGS lidar fields in JSON: { "lasinfo" : { "lasver" : "1.4", "lasprf" : "6", "laswheld" : "Withheld (ignore) points were identified in these files using the standard LAS Withheld bit.", "lasolap" : "Any overage point deemed geometrically reliable will be used within the normal classification schema. Overage points are not specifically flagged with any special bit value.", "lasintr" : "16", "lasclass" : { "clascode" : "1", "clasitem" : "Processed, but Unclassified" }, "lasclass" : { "clascode" : "2", "clasitem" : "Bare-Earth Ground" }, "lasclass" : { "clascode" : "7", "clasitem" : "Low Noise" }, "lasclass" : { "clascode" : "9", "clasitem" : "Water" }, "lasclass" : { "clascode" : "17", "clasitem" : "Bridge Decks" }, "lasclass" : { "clascode" : "18", "clasitem" : "High Noise" }, "lasclass" : { "clascode" : "20", "clasitem" : "Ignored Ground" } }} Zip Zip LAS/LAZ - LASer Zip U.S. Geological Survey 12201 Sunrise Valley Drive Reston VA 20191 USA https://usgs.gov WWW:LINK-1.0-http--link USGS Home Home page for USGS information distributor NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information distributor https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9768/details/9768 WWW:LINK-1.0-http--link 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. download https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/WI_Statewide_2021_B21/ WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in LAZ format, in original projection and elevations in orthometric heights in feet. download dataset 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 Vertical Accuracy: Non-Vegetated Vertical Accuracy (NVA) = 3.2 cm RMSE Vegetated Vertical Accuracy (VVA) = 16.64 cm at the 95th Percentile Completeness Report These LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and the data pass Non-Vegetated Vertical Accuracy specifications. Conceptual Consistency Data cover the entire area specified for this project. The 2021 WI Statewide lidar was ingested into the Data Access Viewer for custom product generation by leveraging USGS hosted Entwine Point Tiles. 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. 2022-01-01T00:00:00 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. 2022-01-01T00:00:00 Original point clouds in LAS/LAZ format were restructured as Entwine Point Tiles and stored on Amazon Web Services. The data were reprojected horizontally to WGS84 web mercator (EPSG 3857) and the vertical units were converted to meters (NAVD88 Geoid18). U.S. Geological Survey processor 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. These are the AWS URLs being accessed: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_1_Marinette_2021/ept.json https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_2_Pierce_2021/ept.json https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_3_Richland_2021/ept.json https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_4_StCroix_2021/ept.json https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_5_Crawford_2021/ept.json https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_6_Juneau_2021/ept.json https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_7_Kewaunee_2021/ept.json https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_8_Marathon_2021/ept.json 2023-02-27T00:00:00 Office for Coastal Management processor USGS Entwine Point Tiles (EPT) USGS https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_1_Marinette_2021/ept.json WWW:LINK-1.0-http--link Entwine Point Tiles for WI_StWide_1_Marinette_2021 Source Citation URL information publisher USGS Entwine Point Tiles (EPT) USGS https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_2_Pierce_2021/ept.json WWW:LINK-1.0-http--link Entwine Point Tiles for WI_StWide_2_Pierce_2021 Source Citation URL information publisher USGS Entwine Point Tiles (EPT) USGS https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_3_Richland_2021/ept.json WWW:LINK-1.0-http--link Entwine Point Tiles for WI_StWide_3_Richland_2021 Source Citation URL information publisher USGS Entwine Point Tiles (EPT) USGS https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_4_StCroix_2021/ept.json WWW:LINK-1.0-http--link Entwine Point Tiles for WI_StWide_4_StCroix_2021 Source Citation URL information publisher USGS Entwine Point Tiles (EPT) USGS https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_7_Kewaunee_2021/ept.json WWW:LINK-1.0-http--link Entwine Point Tiles for WI_StWide_7_Kewaunee_2021 Source Citation URL information publisher USGS Entwine Point Tiles (EPT) USGS https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_5_Crawford_2021/ept.json WWW:LINK-1.0-http--link Entwine Point Tiles for WI_StWide_5_Crawford_2021 Source Citation URL information publisher USGS Entwine Point Tiles (EPT) USGS https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_6_Juneau_2021/ept.json WWW:LINK-1.0-http--link Entwine Point Tiles for WI_StWide_6_Juneau_2021 Source Citation URL information publisher USGS Entwine Point Tiles (EPT) USGS https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WI_StWide_8_Marathon_2021/ept.json WWW:LINK-1.0-http--link Entwine Point Tiles for WI_StWide_8_Marathon_2021 Source Citation URL information publisher