gov.noaa.nmfs.inport:77599 eng UTF8 dataset Elevation Office for Coastal Management 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 2025-09-03T18:40:37 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) EPSG::6333 EPSG::5703 2024 NOAA Lidar DEM: AK Coastal Communities (Eek, Goodnews Bay, Nelson Lagoon, Quinhagak, Togiak) 2024 creation 2025 publication NOAA/NMFS/EDM 77599 https://www.fisheries.noaa.gov/inport/item/77599 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/entwine/geoid12b/10426/ept.json WWW:LINK-1.0-http--link Entwine Point Tile (EPT) 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://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/10418/supplemental/AK_Communities_2025_NIR_lidar_Report.pdf WWW:LINK-1.0-http--link Lidar Report Link to the NV5 lidar report. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/10426/breaklines/index.html WWW:LINK-1.0-http--link Breaklines Link to the breaklines in Esri gdb and OGC GeoPackage formats. download https://coast.noaa.gov/lidar/viewer/v/noaapotree.html?r=https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/entwine/geoid12b/10426/ept.json WWW:LINK-1.0-http--link Potree 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 Original Product: Hydroflattened Digital Elevation Model (DEM) data covering the NOAA AK Communities 2025 project area. Original Dataset Geographic Extent: This dataset and derived products encompass five areas covering approximately 92,475 acres of Southwest Alaska. Original Dataset Description: Lidar flight line swaths were processed to create 825 classified LAS 1.4 files delineated in 750m x 750m tiles tiles. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create 825 - 0.5 meter hydro-flattened Raster DEMs delineated in 750m x 750m tiles tiles. Non-Vegetated Vertical Accuracy (NVA) was assessed using 101 check points located on bare earth in clear, unobstructed areas. Vegetated Vertical Accuracy (VVA) was assessed using 26 check points in Tall Grass, Forest, and Shrub landcover types. Additional products include classified LAS files, intensity images, maximum surface height rasters, and 3D breaklines of water bodies within the study area. Ground Condition: Ground conditions were free of snow and acquisition occurred free of smoke, fog and cloud cover. The purpose of the lidar data was to produce a high accuracy 3D dataset that meets all necessary standards laid out by the 3D Elevation Program and the NOAA AK Communities 2023 contract. The lidar point cloud data were used to create classified lidar LAZ files, intensity images, hydro-flattened DEMs, MSHRs, and 3D breaklines of rivers and lakes within the study area. NOAA Office for Coastal Management (OCM), NV5 Geospatial 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 > 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 17.0 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > ALASKA VERTICAL LOCATION > LAND SURFACE place Global Change Master Directory (GCMD) Location Keywords 20.8 LIDAR > Light Detection and Ranging instrument Global Change Master Directory (GCMD) Instrument Keywords 17.2 Airplane > Airplane platform Global Change Master Directory (GCMD) Platform Keywords 17.2 DOC/NOAA/NOS/OCM > Office of Coastal Management, National Ocean Service, NOAA, U.S. Department of Commerce dataCentre Global Change Master Directory (GCMD) Data Center Keywords 2017-04-24 publication 8.5 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 22. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian DEMs project InPort otherRestrictions Cite As: Office for Coastal Management, [Date of Access]: 2024 NOAA Lidar DEM: AK Coastal Communities (Eek, Goodnews Bay, Nelson Lagoon, Quinhagak, Togiak) [Data Date Range], https://www.fisheries.noaa.gov/inport/item/77599. 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. license To the extent possible under law, the U.S. Government has waived all copyright and related or neighboring rights to this dataset. 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 2024 NOAA Lidar: AK Coastal Communities (Eek, Goodnews Bay, Nelson Lagoon, Quinhagak, Togiak) NOAA/NMFS/EDM 77595 crossReference NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 77599 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocm/dmp/pdf/77599.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference grid eng; US elevation LiDAR Mapping Suite 2.4, Applanix PosPac 9.1, Microstation CONNECT version, TerraScan Version 20, TerraModeler Version 20, TerraMatch Version 20, ESRI ArcGIS 10.8, Windows 10 Operating System Eek -162.05 -162 60.19 60.23 Eek collection area Eek date of collection | Currentness: Ground Condition 2024-09-21 Quinhagak -161.94 -161.72 59.68 59.79 Quinhagak collection area Quinhagak collection date | Currentness: Ground Condition 2024-09-22 Goodnews Bay -161.62 -161.54 59.1 59.14 Goodnews Bay collection area Goodnews Bay collection date | Currentness: Ground Condition 2024-09-21 Togiak -160.56 -160.24 58.98 59.13 Togiak collection area Togiak collection date | Currentness: Ground Condition 2023-10-02 Togiak collection date | Currentness: Ground Condition 2024-07-31 Nelson Lagoon -161.46 -161.07 55.9 56.02 Nelson Lagoon collection area | Currentness: Ground Condition 2024-08-20 Raster File Type = TIFF 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 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 https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10427/details/10427 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://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/dem/AK_CstalComms_DEM_2024_10427/index.html WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in GeoTIFF format, UTM Zone 4N NAD83(2011) meters coordinates and elevations in NAVD88(GEOID12B) meters. 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 percent of the time. Based on a flying altitude of 2478 meters for UTM Zone 4, an IMU error of 0.013 decimal degrees, and a GNSS positional error of 0.027 meters, this project was produced to meet 1.742 meters horizontal accuracy at the 95% confidence level (1.006 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. The specifications require that classified Non-vegetated Vertical Accuracy (NVA) be computed from the derived DEMs. The NVA was tested with 101 independent check points located in open terrain and distributed throughout the project as feasible. These check points were not used in the calibration or post processing of the lidar point cloud data. Specifications for this project require that the NVA be 0.196 meters or better AccuracyZ at 95% confidence level. Vegetated Vertical Accuracy (VVA) is also to be computed from the derived DEMS. The VVA was tested with 26 check points in Tall Grass, Forest, and Shrub land cover types. These check points were also withheld from the calibration and post processing of the lidar point cloud data and distributed throughout the project area as feasible. Specifications for this project require that the VVA be 0.300 meters or better AccuracyZ at the 95th percentile. The 101 independent NVA check points were surveyed using real-time kinematics (RTK) Elevations of the derived bare earth DEMs were compared to the elevation values of the surveyed NVA check points. The RMSE was computed to be 0.031 meters resulting in an AccuracyZ of 0.060 meters at the 95% confidence level (0.030 m RMSE). NVA AccuracyZ has been tested and meets the required 0.196 meter NVA at 95% confidence level using (RMSEz * 1.9600) for the derived bare earth DEMs as defined by the National Standards for Spatial Data Accuracy (NSSDA) and herein reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. The 26 VVA check points were surveyed using real-time kinematics (RTK) Elevations for these points were compared to the elevations of the derived bare earth DEMs resulting in an AccuracyZ of 0.254 meters at the 95th percentile (0.126 m RMSE). AccuracyZ has been tested on the derived bare earth DEMs and meets the required 0.300 meter VVA using the 95th percentile of the absolute value of all vertical errors in all combined vegetation classes as defined by the National Standards for Spatial Data Accuracy (NSSDA); and herein reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. Completeness Report 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. Conceptual Consistency DEM files were tested by NV5 for vertical accuracy. All data is seamless from one tile to the next, no gaps or no data areas. This data was collected by NV5 Geospatial for the NOAA Office for Coastal Management (OCM). 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 12b 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. 2025-02-26T00:00:00 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 final NVA, VVA, and density information for the project using ground control quality check points. 2025-02-26T00:00:00 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). 2025-02-26T00:00:00 During the NOAA OCM review of the data, the following issues were noted and are listed here for user awareness: 1. There are areas where points that are believed to be ground but were either left unclassified or classified as vegetation, including large boulders classified as high vegetation. The misclassified points result in errors in the DEMs. 2. Some narrow ridgelines and minor summits lack sufficient points classified as ground due to vegetation, leading to inaccurate truncation of these features. 3. There are areas with deep seasonal snow-cover, making it difficult to resolve alpine geomorphology. The NOAA Office for Coastal Management (OCM) received 825 GeoTIFF files from NV5 Geospatial. The files were in UTM Zone 4N NAD83 (2011) meters coordinates and the elevations were in NAVD88 (GEOID12B) meters. The bare earth raster files were at a 0.5 meter grid spacing. OCM assigned the appropriate EPSG codes (Horiz - 6333, Vert -5703) and copied the raster files to AWS S3 for Digital Coast storage and provisioning purposes. 2025-08-29T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor NOAA OCM Lidar NOAA OCM originator