gov.noaa.nmfs.inport:74905 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::6360 EPSG::6397 2019 - 2020 USGS Lidar DEM: Matanuska - Susitna Borough, AK 2019 creation 2020-04-20 publication NOAA/NMFS/EDM 74905 https://www.fisheries.noaa.gov/inport/item/74905 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/AK_MatSuBorough_2019_B19/AK_MatSuBorough_B1_2019/reports/MatSu_Borough_Delivery_1_Lidar_Technical_Data_Report_Revised.pdf WWW:LINK-1.0-http--link Quantum Spatial Lidar Report - Delivery1/B1 Link to the Quantum Spatial lidar report for Delivery 1/B1 download https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/AK_MatSuBorough_2019_B19/AK_MatSuBorough_B2_2019/reports/MatSu_Borough_Delivery_2_Lidar_Technical_Data_Report_Final.pdf WWW:LINK-1.0-http--link Quantum Spatial Lidar Report - Delivery 2/B2 Link to the Quantum Spatial lidar report for Delivery 2/B2 download https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/AK_MatSuBorough_2019_B19/USGS_AK_MatSuBorough_2019_B19_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://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/AK_MatSuBorough_2019_B19/ 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 Dataset Description: The Matanuska - Susitna Borough 3DEP LiDAR project called for the planning, acquisition, and processing of LiDAR data collected at an aggregate nominal pulse spacing (ANPS) 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 was developed based on the NAD83 horizontal datum and NAVD88 (GEOID12B) vertical datum. Data was projected in Alaska State Plane Zone 4. All units are in US Survey Feet. LiDAR data was delivered as processed Classified LAS 1.4 files, formatted to 4236 individual 3,000 ft x 3,000 ft tiles. Original Dataset Product: Hydroflattened Digital Elevation Model (DEM). Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 3.0 foot hydro-flattened Raster DEM. Original Dataset Geographic Extent: This dataset and derived products encompass an area covering approximately 1099 square miles in south west Alaska. Delivery 1/B1: (Work Unit 180695) - 951 square miles Delivery 2/B2: (Work Unit 213376) - 148 square miles Derived products include: tiled Intensity Imagery, tiled DZ orthos, tiled bare earth DEMs and shaded relief rasters, tiled Highest Hit Digital Surface Models and shaded relief rasters, tiled 1 ft contour shapefiles, 2D building footprints, and 3D waters edge breaklines. Original Dataset Ground Conditions: Delivery 1/B1: (Work Unit 180695) LiDAR was collected in summer 2019, while the presence of snow on the ground was at a minimum 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, McClintock and Associates established a total of 57 ground control points distributed throughout the Matanuska - Susitna Borough 3DEP, Alaska project area. LiDAR data was calibrated to these known ground locations. An additional 93 independent accuracy checkpoints, 52 in Bare Earth and Urban landcovers (NVA points) and 41 in Tall Grass, Tundra and Shrub categories (VVA points), were used to assess the vertical accuracy of the project data. These checkpoints were not used to calibrate or post process the data. Delivery 2/B2: (Work Unit 213376) Lidar was collected in summers of 2019 and 2020, while the presence of snow on the ground was at a minimum 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, McClintock Land Associates established a total of 13 ground control points distributed throughout the Matanuska - Susitna Borough 3DEP, Alaska project area. Lidar data was calibrated to these known ground locations. An additional 34 independent accuracy checkpoints, 25 in Bare Earth and Urban landcovers (NVA points) and 9 in Tall Grass, Forest and Shrub categories (VVA points), were used to assess the vertical accuracy of the project 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 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 3DEP initiative. The raw lidar point cloud data were used to create classified lidar las files, hydroflattened DEMs, highest hit DSMs, intensity images, dz orthos, 1 foot contours, 3D hydro breaklines, and 2D building footprints. 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 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 > 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]: 2019 - 2020 USGS Lidar DEM: Matanuska - Susitna Borough, AK [Data Date Range], https://www.fisheries.noaa.gov/inport/item/74905. 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. Acknowledgment of the U.S. Geological Survey would be appreciated for products derived from these data. 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 2019 - 2020 USGS Lidar: Matanuska - Susitna Borough, AK NOAA/NMFS/EDM 70176 crossReference grid eng; US elevation Waypoint Inertial Explorer v.8.7; Leica Cloudpro v.1.2.4; TerraScan v.19; Terramatch v.19; TerraModeler v.19;Las Product Creator v.3.4 (QSI proprietary); Las Monkey 2.4.3 (QSI proprietary); Windows 10 Operating System -150.479683 -146.957574 61.200404 62.030171 Delivery1/B1 (Work Unit 180695) dates of collection | Currentness: Ground Condition 2019-09-13 2019-10-07 Delivery 2/B2 (Work Unit 213376) date of collection | Currentness: Ground Condition 2019-09-13 Delivery 2/B2 (Work Unit 213376) date of collection | Currentness: Ground Condition 2020-08-29 Delivery 2/B2 (Work Unit 213376) date of collection | Currentness: Ground Condition 2019-09-17 Delivery 2/B2 (Work Unit 213376) date of collection | Currentness: Ground Condition 2020-06-25 CONTRACTOR: Quantum Spatial, Inc. Ground Control Points were acquired by McClintock and Associates. Quantum Spatial coordinated the data acquisition and performed all calibration, follow up processing, and creation of the final derived products Raster File Type = GeoTIFF Bit Depth/Pixel Type = 32-bit float Raster Cell Size = 3.0 ft Interpolation or Resampling Technique = Triangulated Irregular Network Required Vertical Accuracy = 19.6 cm NVA 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=10271/details/10271 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_MatSuBorough_2019_B19/ WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in GeoTIFF format, Alaska State Plane Zone 4 NAD83(2011), US survey feet coordinates and NAVD88 (Geoid12B) heights in feet . download dataset Horizontal Positional Accuracy Delivery 1/B1: 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 1,750 meters, an IMU error of 0.002 decimal degrees, and a GNSS positional error of 0.070 meters, this project was compiled to meet 0.0008 meters (0.0029 ft) horizontal accuracy at the 95% confidence level. During processing of the data to the NOAA Digital Coast Data Access Viewer, NOAA OCM noted that this value did not sound correct. The horizonal accuracy information was copied from the Quantum Spatial (QSI) lidar report. An email was sent to the QSI project manager for clarification. As of June 2023, there has been no response. Delivery 2/B2: 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. For the ALS80 sensor acquisition based on a flying altitude of 1,750 meters, an IMU error of 0.005 decimal degrees, and a GNSS positional error of 0.032 meters, this project was compiled to meet 0.476 meters (1.562 ft) horizontal accuracy at the 95% confidence level. The VQ1560ii sensor acquisition based on a flying altitude of 2,305 meters, an IMU error of 0.002 decimal degrees, and a GNSS positional error of 0.015 meters, this project was compiled to meet 0.250 meters (0.822 ft) horizontal accuracy at the 95% confidence level. Vertical Positional Accuracy The project specifications require the accuracy (ACCz) of the derived DEM be calculated and reported in two ways: 1. The required NVA is: 19.6 cm at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 10 cm in the bare earth and urban land cover classes. This is a required accuracy. The NVA was tested with checkpoints located in bare earth and urban (non-vegetated) areas. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. AccuracyZ has been tested to meet 19.6 cm or better Non-Vegetated Vertical Accuracy at 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. USGS Determined Vertical Accuracy: Digital Elevation Model Non-Vegetated Vertical Accuracy (NVA) = 8.08 cm at 95% Confidence Level or 4.12 cm RMSE Vegetated Vertical Accuracy (VVA) = 24.76 cm at 95th Percentile 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 passes Non-Vegetated Vertical Accuracy specifications. Conceptual Consistency Data covers the entire area specified in the contract. 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 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. 8. Single swath nominal pulse spacing (NPS) was designed to be 0.50 meters at nadir. Aggregate Nominal Pulse Spacing (ANPS) was calculated to be 3.76 meters for the pilot dataset using all valid first return points. 2020-01-08T00:00:00 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 for the project using ground control quality check points. 2020-01-08T00:00:00 Hydroflattening Breaklines and Hydroflattened 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) 2018-01-08T00:00:00 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_MatSuBorough_2019_B19/AK_MatSuBorough_B1_2019/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/AK_MatSuBorough_2019_B19/AK_MatSuBorough_B2_2019/TIFF/ 2025-02-18T00:00:00 Office for Coastal Management processor USGS GeoTIFF Files - AK_MatSuBorough_B1 USGS https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/AK_MatSuBorough_2019_B19/AK_MatSuBorough_B1_2019/TIFF/ WWW:LINK-1.0-http--link GeoTIFF Files for AK_MatSuBorough_B1_2019 Source Citation URL information publisher USGS GeoTIFF Files - AK_MatSuBorough_B2 USGS https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/AK_MatSuBorough_2019_B19/AK_MatSuBorough_B2_2019/TIFF/ WWW:LINK-1.0-http--link GeoTIFF Files for AK_MatSuBorough_B2_2019 Source Citation URL information publisher