gov.noaa.nmfs.inport:78879 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::5703 EPSG::6332 2023 NRCS QL1 Lidar DEM: Native Alaskan Villages (Kivalina) ak2023_nat_vill_ql1_dem_m13857 2023 creation 2025 publication NOAA/NMFS/EDM 78879 https://www.fisheries.noaa.gov/inport/item/78879 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/AK_NativeAlaskanVillages_D22/USGS_AK_NativeAlaskanVillages_D22_Project_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://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/AK_NativeAlaskanVillages_D22/AK_NativeAKVillages_6_D22/reports/AK_Native_Villages_Fall_2023_NIR_Cumulative_Lidar_Report_Final_Signed.pdf WWW:LINK-1.0-http--link Lidar Report Link to the lidar report. download https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/AK_NativeAlaskanVillages_D22/AK_NativeAKVillages_6_D22/ WWW:LINK-1.0-http--link USGS Additional Info Link to the reports, breaklines, metadata, and spatial metadata. 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 Native Villages Kivalina project area. Original Geographic Extent: This dataset and derived products encompass an area covering approximately 43,573 Acres of Kivalina. Original Dataset Description: Lidar flight line swaths were processed to create 353 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 353 0.5 meter hydro-flattened Raster DEMs delineated in 750m x 750m tiles tiles. Additional products include classified LAS files, intensity images, maximum surface height models, and 3D breaklines of rivers and lakes within the study area. Ground Conditions: Ground condition was mostly free of snow and acquisition occurred free of smoke, fog and cloud cover. 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 3D Elevation Program and the Native Villages Kivalina contract. The lidar point cloud data were used to create classified lidar LAS files, intensity images, hydro-flattened DEMs, maximum surface height models, and 3D breaklines of rivers and lakes within the study area. NRCS, USGS, 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) theme Global Change Master Directory (GCMD) Science Keywords 23.3 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 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]: 2023 NRCS QL1 Lidar DEM: Native Alaskan Villages (Kivalina) [Data Date Range], https://www.fisheries.noaa.gov/inport/item/78879. 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 2023 NRCS QL1 Lidar: Alaskan Native Villages (Kivalina) NOAA/NMFS/EDM 78880 crossReference grid eng; US elevation -164.678679 -164.299202 67.691981 67.849232 | Currentness: Ground Condition 2023-07-24 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 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=13857/details/13857 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/AK_NativeAlaskanVillages_D22/AK_NativeAKVillages_6_D22/TIFF/ WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in the original coordinate system. 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 maximum GNSS positional error was derived from the laser trajectory using NV5's proprietary LAS processing software, Las Monkey. 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 2058 meters, a GNSS error of 0.027 meters, and an IMU error of 0.014 degrees, the Kivalina village in UTM zone 3 was produced to meet a horizontal accuracy of 1.558 meters, at the 95% confidence level. 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. Specifications for this project require that the VVA be 0.300 meters or better AccuracyZ at the 95th percentile. USGS Determined DEM Vertical Accuracy: Non-Vegetated Vertical Accuracy (NVA) = 3.55 cm RMSE Vegetated Vertical Accuracy (VVA) = 26.39 cm at the 95th Percentile 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. 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. 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. 2024-01-31T00:00:00 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. 2024-01-31T00:00:00 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). 2024-01-31T00:00:00 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_NativeAlaskanVillages_D22/AK_NativeAKVillages_6_D22/TIFF/ 2025-12-30T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor USGS AWS GeoTIFF Files USGS https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/AK_NativeAlaskanVillages_D22/AK_NativeAKVillages_6_D22/TIFF/ WWW:LINK-1.0-http--link USGS AWS GeoTIFF Files Source Citation URL information publisher