80329 ak2019_glac_bay_ql1_dem_m14848 Data Set Published / External 49404 DEMs - partner (no harvest) Project Completed 2020 Product: These are QL1 resolution Digital Elevation Models (DEM) data for the Glacier Bay project. Class 2 (ground) Lidar points in conjunction with the hydro breaklines were used to create a 0.5 meter hydro-flattened raster DEM. Geographic Extent: The Quality Level 1, Delivery 1 project area encompassed 130,339 acres. The Quality Level 1, Delivery 2 project area encompassed 124,539 acres. The total QL1 area encompassed 254,878 acres in southeast Alaska. Dataset Description: The Glacier Bay 3DEP Lidar project called for the planning, acquisition, and processing of Lidar data collected at an aggregate nominal pulse spacing (ANPS) of 0.31 meters for all QL1 areas. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. RAW flight line swaths were processed to create hydroflattened bare earth rasters delineated in 1,000 m x 1,000 m tiles. Each LAS file contains Lidar point information, which has been calibrated, controlled, and classified. Additional derived products include highest hit DSMs, intensity images, and 3D breaklines of rivers and lakes within the study area. Supplemental data includes DZ Orthos, flightline shapes, swath coverage shapes, and ground survey shapes. Ground Conditions: Lidar was collected in summer 2019 and the summer of 2020, while the presence of snow on the ground was at a minimum and rivers were at or below normal levels. 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. The purpose of the Lidar data was to produce a high accuracy 3D dataset that meets all necessary standards laid out by the Glacier Bay contract. The raw Lidar point cloud data were used to create classified Lidar LAS files, hydro-flattened DEMs, Highest Hit DSMs, Intensity Images, DZ Orthos, Flightline Shapes, Swath Coverage Shapes and 3D breaklines of rivers and lakes within the study area. CONTRACTOR: Quantum Spatial, Inc. Ground Control Points were acquired by DOWL for Quantum Spatial Inc. Data acquisition was coordinated by Quantum Spatial through Eagle Aerial. All Lidar data calibration, and follow-on processing were completed by Quantum Spatial. Raster File Type = GeoTiff Bit Depth/Pixel Type = 32-bit float Raster Cell Size = 0.5 meter Interpolation or Resampling Technique = Triangulated Irregular Network Required Vertical Accuracy = 19.6 cm NVA Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM) Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION Theme ISO 19115 Topic Category elevation Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > ALASKA Spatial Global Change Master Directory (GCMD) Location Keywords VERTICAL LOCATION > LAND SURFACE Instrument Global Change Master Directory (GCMD) Instrument Keywords LIDAR > Light Detection and Ranging Platform Global Change Master Directory (GCMD) Platform Keywords Airplane > Airplane Office for Coastal Management Charleston SC Data Set Elevation None Planned Model (digital) Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners. USGS, Quantum Spatial, Inc. Data Steward 2026 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Distributor 2026 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Distributor 2021 Organization U.S. Geological Survey 12201 Sunrise Valley Drive Reston VA 20191 USA https://usgs.gov USGS Home Home page for USGS Online Resource Metadata Contact 2026 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Point of Contact 2026 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Ground Condition -138.696 -135.56 59.2 58.21 Range 2019-07-31 2020-08-01 Timeframe of the lidar collections, performed over two seasons in 2019 and 2020. See Survey Report for detailed collection dates. .5 Meter Yes No No No No Projected EPSG:6337 NAD83(2011) / UTM zone 8N NAD83 (National Spatial Reference System 2011) GRS 1980 6378137 298.257222101 NAD83(2011) UTM zone 8N Transverse Mercator 1 easting E metre east Vertical EPSG:5703 NAVD88 height North American Vertical Datum 1988 1 Gravity-related height H metre up Custom Unclassified Data is available online for bulk and custom downloads. 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. https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=14848/details/14848 2026 Organization NOAA Office for Coastal Management 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. Zip Zip https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/AK_GlacierBay_2019_B19/AK_GlacierBay_5_2019/TIFF/ 2021 Organization U.S. Geological Survey Bulk Download - AK_GlacierBay_5 Bulk download of data files in GeoTIFF format, UTM Zone 8N NAD83(2011), meters coordinates and elevations in NAVD88(Geoid 12B) meters. GeoTIFF https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/AK_GlacierBay_2019_B19/AK_GlacierBay_B3_2019/TIFF/ 2021 Organization U.S. Geological Survey Bulk Download - AK_GlacierBay_B3 Bulk download of data files in GeoTIFF format, UTM Zone 8N NAD83(2011), meters coordinates and elevations in NAVD88(Geoid 12B) meters. LAZ GeoTIFF https://coast.noaa.gov/dataviewer/ NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) Online Resource HTML 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. https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/AK_GlacierBay_2019_B19/AK_GlacierBay_2019_B19_WP_Report.pdf USGS Work Package Report Online Resource pdf Link to the USGS work package report that provides project information, vertical accuracy results, classifications used, sensors used, and work unit information. https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/AK_GlacierBay_2019_B19/AK_GlacierBay_5_2019/reports/Glacier_Bay_D2_NIR_lidar_Report.pdf Lidar Report - AK_GlacierBay_5 Online Resource pdf Link to the Quantum Geospatial, Inc. lidar report for AK_GlacierBay_5 https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/AK_GlacierBay_2019_B19/AK_GlacierBay_B3_2019/reports/Glacier_Bay_D1_NIR_lidar_Report.pdf Lidar Report - AK_GlacierBay_B3 Online Resource pdf Link to the Quantum Geospatial, Inc. lidar report for AK_GlacierBay_B3 https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/AK_GlacierBay_2019_B19/ USGS Additional Info Online Resource pdf Link to the additional information available for this data set from the USGS. This information includes reports, tile index shapefiles, and hydro breaklines. Applanix PosPac 7.1, Microstation Version 8.0, TerraScan Version 19, TerraModeler Version 19, TerraMatch Version 19, ESRI ArcGIS 10.5, Windows 10 Operating System 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 percent of the time. Based on a flying altitude of 2,400 meters, an IMU error of 0.002 decimal degrees, and a GNSS positional error of 0.015 meters, this project was compiled to meet 0.28 m horizontal accuracy at the 95% confidence level. 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) = 4.1 cm RMSE Vegetated Vertical Accuracy (VVA) = 27.10 cm at the 95th Percentile Refer to the USGS Project Report for further details. The link to this report is provided in the URL section of this metadata record. 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 data passes Non-Vegetated Vertical Accuracy specifications. DEM files were tested by Quantum Spatial for vertical accuracy. All data is seamless from one tile to the next, no gaps or no data areas. Yes Unknown Yes NCEI-CO Data is backed up to tape and to cloud storage. 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. USGS AWS GeoTIFF Files - AK_GlacierBay_5 Organization USGS Publisher https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/AK_GlacierBay_2019_B19/AK_GlacierBay_5_2019/TIFF/ USGS AWS GeoTIFF Files for AK_GlacierBay_5 USGS AWS GeoTIFF Files - AK_GlacierBay_B3 Organization USGS Publisher https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/AK_GlacierBay_2019_B19/AK_GlacierBay_B3_2019/TIFF/ USGS AWS GeoTIFF Files for AK_GlacierBay_B3 1 Lidar Pre-Processing: 1. Review flight lines and data to ensure complete coverage of the study area and positional accuracy of the laser points. 2. Resolve kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data. 3. Develop a smoothed best estimate of trajectory (SBET) file that blends post-processed aircraft position with sensor head position and attitude recorded throughout the survey. 4. Calculate laser point position by associating SBET position to each laser point return time, scan angle, intensity, etc. Create raw laser point cloud data for the entire survey in *.las format. Convert data to orthometric elevations by applying a geoid correction. 5. Import raw laser points into manageable blocks to perform manual relative accuracy calibration and filter erroneous points. Classify ground points for individual flight lines. 6. Using ground classified points per each flight line, test the relative accuracy. Perform automated line-to-line calibrations for system attitude parameters (pitch, roll, heading), mirror flex (scale) and GPS/IMU drift. Calculate calibrations on ground classified points from paired flight lines and apply results to all points in a flight line. Use every flight line for relative accuracy calibration. 7. Adjust the point cloud by comparing ground classified points to supplemental ground control points. 2020-05-04T00:00:00 2 Lidar Post-Processing: 1. Classify data to ground and other client designated classifications using proprietary classification algorithms. 2. Manually QC data classification 3. After completion of classification and final QC approval, calculate NVA and VVA, and density information for the project using ground control quality check points. For Ql1 areas single swath nominal pulse spacing (NPS) was designed to be 0.50 at nadir and the aggregate Nominal Pulse Spacing (ANPS) was calculated to be 0.31 using all valid first return points. 2020-05-04T00:00:00 3 Hydro-flattening Breaklines and Hydro-flattened DEM creation: Water boundary polygons were developed using an algorithm which weights Lidar-derived slopes, intensities, and return densities to detect the water's edge. The water's edge was then manually reviewed and edited as necessary. Elevations were assigned to the water’s edge through neighborhood statistics identifying the lowest Lidar return from the water surface. Lakes were assigned a consistent elevation for an entire polygon while rivers were assigned consistent elevations on opposing banks and smoothed to ensure downstream flow through the entire river channel. These breaklines were incorporated into the hydro-flattened DEM by enforcing triangle edges (adjacent to the breakline) to the elevation values derived from the breakline. This implementation corrected interpolation along the hard edge. Breaklines were also used to classify all ground points within the identified water bodies to class 9 (water). 2020-12-31T00:00:00 4 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/AK_GlacierBay_2019_B19/AK_GlacierBay_B3_2019/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/AK_GlacierBay_2019_B19/AK_GlacierBay_5_2019/TIFF/ 2026-08-17T00:00:00 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource 64330 Data Set Cross Reference 80338 Data Set Cross Reference 64299 Data Set Cross Reference gov.noaa.nmfs.inport:80329 Rebecca Mataosky 2026-08-14T14:24:41 Rebecca Mataosky 2026-08-17T20:05:14 2026-08-17 OCM Partners OCMP 1002 Public No No 2022-03-16 1 Year 2023-03-16