gov.noaa.nmfs.inport:77167 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::6350 EPSG::5703 2019 USGS Lidar DEM: Osh Kosh 3 Rivers (MN, WI) wi2019_oshkosh_3rivers_dem_m10415 2019 creation 2025 publication NOAA/NMFS/EDM 77167 https://www.fisheries.noaa.gov/inport/item/77167 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9199/breaklines/index.html WWW:LINK-1.0-http--link Breaklines Breaklines download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9199/supplemental/Oshkosh_3_Rivers_2018_LiDAR_Project_Report.pdf WWW:LINK-1.0-http--link Dataset report Link to data set report. download https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/WI_Oshkosh_3Rivers_2018_D19/WI_Oshkosh_3Rivers_2018_D19_WP_Report.pdf WWW:LINK-1.0-http--link USGS Project Report Link to the USGS Project Report that provides information about the project, vertical accuracy results, and the point classes and sensors used. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9199/supplemental/index.html WWW:LINK-1.0-http--link Accuracy reports Quantum Spatial, Inc. accuracy reports. download 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. 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. Quantum Spatial, Inc., 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 https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9199/supplemental/wi2019_oshkosh_m9199.kmz This graphic displays the footprint for this lidar data set. KML EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM) 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 > MINNESOTA 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 DEMs - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2019 USGS Lidar DEM: Osh Kosh 3 Rivers (MN, WI) [Data Date Range], https://www.fisheries.noaa.gov/inport/item/77167. 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 Quantum Spatial, Inc, USGS, NOAA, the Office for Coastal Management or its partners. unclassified 2019 USGS Lidar: Oshkosh 3 Rivers (MN,WI) NOAA/NMFS/EDM 63157 crossReference grid eng; US elevation 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 -93.156651 -87.689848 43.532423 46.429365 Pine County | Currentness: Ground Condition 2019-05-14 2019-05-21 Sheboygan County | Currentness: Ground Condition 2019-04-19 2019-04-20 City of Osh Kosh | Currentness: Ground Condition 2019-04-19 Oconto County | Currentness: Ground Condition 2019-05-04 2019-05-14 Barron and Dunn Counties | Currentness: Ground Condition 2019-05-07 2019-05-15 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 Zip Zip GeoTIFF 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 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 https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10415/details/10415 WWW:LINK-1.0-http--link 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. download https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WI_Oshkosh_3Rivers_2018_D19/ WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in GeoTIFF format, Albers Conic NAD83(2011) coordinates in meters and elevations in NAVD88(GEOID12B) meters. download dataset 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. 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. 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. 2020-01-01T00:00:00 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 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. 2020-01-01T00:00:00 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. 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/ 2025-08-18T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor Quantum Spatial, Inc. - Lidar data collection USGS AWS GeoTIFF Files - WI_Oshkosh_3Rivers_B1 USGS https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WI_Oshkosh_3Rivers_2018_D19/WI_Oshkosh_3Rivers_B1_2018/TIFF/ WWW:LINK-1.0-http--link USGS AWS GeoTIFF Files for WI_Oshkosh_3Rivers_B1 Source Citation URL information publisher USGS AWS GeoTIFF Files - WI_Oshkosh_3Rivers_B2 USGS https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WI_Oshkosh_3Rivers_2018_D19/WI_Oshkosh_3Rivers_B2_2018/TIFF/ WWW:LINK-1.0-http--link USGS AWS GeoTIFF Files for WI_Oshkosh_3Rivers_B2 Source Citation URL information publisher USGS AWS GeoTIFF Files - WI_Oshkosh_3Rivers_FondDuLac_TL USGS 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/ WWW:LINK-1.0-http--link USGS AWS GeoTIFF Files for WI_Oshkosh_3Rivers_FondDuLac_TL Source Citation URL information publisher USGS AWS GeoTIFF Files - WI_Oshkosh_3Rivers_ForestCountyPotawatomi_TL USGS 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/ WWW:LINK-1.0-http--link USGS AWS GeoTIFF Files for WI_Oshkosh_3Rivers_ForestCountyPotawatomi_TL Source Citation URL information publisher USGS AWS GeoTIFF Files - WI_Oshkosh_3Rivers_Menominee_TL USGS 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/ WWW:LINK-1.0-http--link USGS AWS GeoTIFF Files for WI_Oshkosh_3Rivers_Menominee_TL Source Citation URL information publisher USGS AWS GeoTIFF Files - WI_Oshkosh_3Rivers_StCroix_TL USGS 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/ WWW:LINK-1.0-http--link USGS AWS GeoTIFF Files for WI_Oshkosh_3Rivers_StCroix_TL Source Citation URL information publisher