2018 USGS Lidar: North Slope, AK - QL2
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:63177 | Updated: October 17, 2023 | Published / External
Item Identification
Title: | 2018 USGS Lidar: North Slope, AK - QL2 |
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Status: | Completed |
Publication Date: | 2019-05-02 |
Abstract: |
Product: Classified light detection and ranging (lidar) LAS 1.4 files formatted to 4,474 1500 ft x 1500 ft tiles. In July 2018, Quantum Spatial (QSI) was contracted by the United States Geological Survey (USGS) to collect Light Detection and Ranging (LiDAR) data in the summer of 2018 for several areas of interest (AOIs), comprising the North Slope Borough Communities 3DEP LiDAR project in Alaska. Data were collected to aid USGS in assessing the topographic and geophysical properties of the study area, to support its mission to gather high quality 3D elevation data over the state of Alaska. Due to inclement weather and the short acquisition timeframe in Alaska, QSI was able to collect LiDAR data in eight out of the eleven contracted AOIs in the 2018 acquisition season: Atqasuk, Barrow North, Barrow South, Barrow Village, Deadhorse, Kaktovic, Nuiqsut and Wainwright. Data collection for the remaining AOIs: Anaktuvuk Pass, Point Lay, and Point Hope was then completed in the summer of 2019. Dataset Description: The North Slope Borough 3DEP LiDAR project called for the planning, acquisition, and processing of LiDAR data collected at an aggregate nominal pulse spacing (ANPS) of either 0.35 meters or 0.70 meters depending on area. 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(2011) horizontal datum and NAVD88 (GEOID12B) vertical datum. Data was projected in the appropriate Alaska State Plane Zone for its location. |
Purpose: |
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, 2 foot contours, 3D hydro breaklines, and 3D building footprints. |
Supplemental Information: |
CONTRACTOR: Quantum Spatial, Inc. Ground Control Points were acquired by Umiaq. Quantum Spatial coordinated the data acquisition and performed all calibration, follow up processing, and creation of the final derived products. The following are the USGS lidar fields in JSON: {
"ldrinfo" : {
"ldrspec" : "U.S. Geological Survey (USGS) - National Geospatial Program (NGP) Lidar Base Specification v1.3", "ldrsens" : "Leica ALS80", "ldrmaxnr" : "15", "ldrnps" : "0.5", "ldrdens" : "4", "ldranps" : "0.35", "ldradens" : "8", "ldrfltht" : "1750", "ldrfltsp" : "115", "ldrscana" : "30", "ldrscanr" : "58.4", "ldrpulsr" : "321.4", "ldrpulsd" : "2.5", "ldrpulsw" : "0.75", "ldrwavel" : "1064", "ldrmpia" : "2", "ldrbmdiv" : "0.22", "ldrswatw" : "938", "ldrswato" : "60", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid12B" }, "ldrinfo" : {
"ldrspec" : "U.S. Geological Survey (USGS) - National Geospatial Program (NGP) Lidar Base Specification v1.3", "ldrsens" : "Leica ALS80", "ldrmaxnr" : "15", "ldrnps" : "1", "ldrdens" : "1", "ldranps" : "0.70", "ldradens" : "2", "ldrfltht" : "1750", "ldrfltsp" : "140", "ldrscana" : "38", "ldrscanr" : "53.3", "ldrpulsr" : "202", "ldrpulsd" : "2.5", "ldrpulsw" : "0.75", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.22", "ldrswatw" : "1205", "ldrswato" : "30", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid12B" }, "ldraccur" : {
"ldrchacc" : "0.5", "rawnva" : "0.042", "rawnvan" : "45", "clsnva" : "0.042", "clsnvan" : "45", "clsvva" : "0.154", "clsvvan" : "24" }, "lasinfo" : {
"lasver" : "1.4", "lasprf" : "6", "laswheld" : "Withheld (ignore) points were identified in these files using the standard LAS Withheld bit.", "lasolap" : "Swath "overage" points were identified in these files using the standard LAS overlap bit.", "lasintr" : "16", "lasclass" : {
"clascode" : "1", "clasitem" : "Processed, but Unclassified" }, "lasclass" : {
"clascode" : "2", "clasitem" : "Bare Earth Ground" }, "lasclass" : {
"clascode" : "3", "clasitem" : "Low Vegetation (0.5-2 meters)" }, "lasclass" : {
"clascode" : "4", "clasitem" : "Medium Vegetation (2-6 meters)" }, "lasclass" : {
"clascode" : "5", "clasitem" : "High Vegetation (6+ meters)" }, "lasclass" : {
"clascode" : "6", "clasitem" : "Buildings" }, "lasclass" : {
"clascode" : "7", "clasitem" : "Noise" }, "lasclass" : {
"clascode" : "9", "clasitem" : "Water" }, "lasclass" : {
"clascode" : "17", "clasitem" : "Bridge Decks" }, "lasclass" : {
"clascode" : "20", "clasitem" : "Ignored Ground" }, "lasclass" : {
"clascode" : "21", "clasitem" : "Snow" } }} |
Keywords
Theme Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
|
Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY
|
Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
|
ISO 19115 Topic Category |
elevation
|
Spatial Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Location Keywords |
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
|
Global Change Master Directory (GCMD) Location Keywords |
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > ALASKA
|
Global Change Master Directory (GCMD) Location Keywords |
VERTICAL LOCATION > LAND SURFACE
|
Global Change Master Directory (GCMD) Location Keywords |
VERTICAL LOCATION > SEA FLOOR
|
UNCONTROLLED | |
Global Change Master Directory (GCMD) Location Keywords | Continent > North America > United States Of America > Alaska > Kaktovic |
Global Change Master Directory (GCMD) Location Keywords | Continent > North America > United States Of America > Alaska > North Slope |
Global Change Master Directory (GCMD) Location Keywords | Continent > North America > United States Of America > U.S. Coastline > Alaska |
Instrument Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Instrument Keywords |
LIDAR > Light Detection and Ranging
|
Platform Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Platform Keywords |
Airplane > Airplane
|
Physical Location
Organization: | Office for Coastal Management |
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City: | Charleston |
State/Province: | SC |
Data Set Information
Data Set Scope Code: | Data Set |
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Data Set Type: | Elevation |
Maintenance Frequency: | None Planned |
Data Presentation Form: | Model (digital) |
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 |
Data Set Credit: | USGS, Quantum Spatial, Inc. |
Support Roles
Data Steward
Date Effective From: | 2020 |
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Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Distributor
Date Effective From: | 2020 |
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Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Metadata Contact
Date Effective From: | 2020 |
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Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Point of Contact
Date Effective From: | 2020 |
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Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Extents
Currentness Reference: | Ground Condition |
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Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -166.84204 | |
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E° Bound: | -143.606958 | |
N° Bound: | 71.31159 | |
S° Bound: | 68.091777 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2018-07-14 |
End: | 2019-08-18 |
Description: |
Collection dates of lidar. |
Spatial Information
Spatial Representation
Representations Used
Grid: | No |
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Vector: | Yes |
Text / Table: | No |
TIN: | No |
Stereo Model: | No |
Video: | No |
Vector Representation 1
Point Object Present?: | Yes |
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Point Object Count: | 2642856568 |
Access Information
Security Class: | Unclassified |
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Data Access Procedure: |
Data is available online for bulk or custom downloads |
Data Access Constraints: |
None |
Data 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. |
Distribution Information
Distribution 1
Start Date: | 2020-10-29 |
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End Date: | Present |
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9198/details/9198 |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2020 - Present) |
File Name: | Customized Download |
Description: |
Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options. |
File Type (Deprecated): | Zip |
Compression: | Zip |
Distribution 2
Start Date: | 2020-10-29 |
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End Date: | Present |
Download URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9198/ |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2020 - Present) |
File Name: | Bulk Download |
Description: |
Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum. |
File Type (Deprecated): | LAZ |
Distribution Format: | LAS/LAZ - LASer |
Compression: | Zip |
URLs
URL 1
URL: | https://coast.noaa.gov/dataviewer/ |
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Name: | NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) |
URL Type: |
Online Resource
|
File Resource Format: | HTML |
Description: |
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. |
URL 2
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9198/supplemental/extent_AK_nslope_QL2_m9198.kmz |
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Name: | Browse graphic |
URL Type: |
Browse Graphic
|
File Resource Format: | KML |
Description: |
This graphic displays the footprint for this lidar data set. |
URL 3
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9198/supplemental/2019_North_Slope_Borough_Communities_3DEP_LiDAR_Technical_Data_Report.pdf |
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Name: | Dataset report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Link to data set report. |
Data Quality
Vertical Positional Accuracy: |
Absolute accuracy was assessed using Non-Vegetated Vertical Accuracy (NVA) reporting designed to meet guidelines presented in the FGDC National Standard for Spatial Data Accuracy. NVA compares known ground check point data that were withheld from the calibration and post-processing of the LiDAR point cloud to the triangulated surface generated by the unclassified LiDAR point cloud as well as the derived gridded bare earth DEM. NVA is a measure of the accuracy of LiDAR point data in open areas where the LiDAR system has a high probability of measuring the ground surface and is evaluated at the 95% confidence interval (1.96 * RMSE). The mean and standard deviation (sigma ) of divergence of the ground surface model from quality assurance point coordinates are also considered during accuracy assessment. These statistics assume the error for x, y and z is normally distributed, and therefore the skew and kurtosis of distributions are also considered when evaluating error statistics. For the North Slope Borough Communities survey, 56 ground check points were withheld from the calibration and post processing of the LiDAR point cloud, with resulting non-vegetated vertical accuracy of 0.140 feet (0.043 meters) as compared to unclassified LAS, and 0.139 feet (0.042 meters) as compared to the bare earth DEM, with 95% confidence. NVA of unclassified LAS files RMSE = 0.072 ft (0.022 m). |
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Completeness Report: |
These LAS data files include all data points collected. No points have been removed or excluded. 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: |
Data covers the entire area specified for this delivery 1 area. |
Data Management
Have Resources for Management of these Data Been Identified?: | Yes |
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Approximate Percentage of Budget for these Data Devoted to Data Management: | Unknown |
Do these Data Comply with the Data Access Directive?: | Yes |
Actual or Planned Long-Term Data Archive Location: | NCEI-CO |
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?: |
Data is backed up to tape and to cloud storage. |
Lineage
Sources
Lidar Data
Contact Role Type: | Originator |
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Contact Type: | Organization |
Contact Name: | Quantum Spatial |
Process Steps
Process Step 1
Description: |
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 (less than 500 MB) 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. |
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Process Date/Time: | 2019-04-30 00:00:00 |
Process Step 2
Description: |
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. |
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Process Date/Time: | 2019-04-30 00:00:00 |
Process Step 3
Description: |
The NOAA Office for Coastal Management (OCM) downloaded this data set from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/AK_NorthSlopeBorough_2018_B18/ All 14 subfolders, or blocks, were downloaded. The total number of files downloaded and processed was 5,467. OCM determined the following information regarding the USGS Quality Level (QL) and Alaska State Plane Zone projection for each block: ------------------------------------------------------------------------------------------------------ "NAD83(2011) / Alaska zone 4 (ftUS)" B9 = QL1 B12 = QL2 B2 = QL1 B6 (2 AOIs) = QL2 ------------------------------------------------------------------------------------------------------ "NAD83(2011) / Alaska zone 2 (ftUS)" B1 = QL1 B5 = QL2 -------------------------------------------------------------------------------------------------------- "NAD83(2011) / Alaska zone 6 (ftUS)" B3 = QL1 (2 AOIs) B7 (3 AOIs) = QL2 ----------------------------------------------------------------------------------------------------- "NAD83(2011) / Alaska zone 7 (ftUS)" B4 = QL1 B8 = QL2 B10 = QL1 B13 = QL2 ---------------------------------------------------------------------------------------------------- "NAD83(2011) / Alaska zone 8 (ftUS)" B11 = Ql1 B14 = QL2 The data were in the above Alaska State Plane zones, (NAD83 2011), U.S. Feet coordinates and NAVD88 (Geoid12B) elevations in U.S Feet. The data were classified as: 1 - Unclassified, 2 - Ground, 3- Low Vegetation (0.5 - 2 meters), 4 - Medium Vegetation (2 - 6 meters), 5 - High Vegetation (6+ meters), 6 - Buildings, 7 - Noise, 9 - Water, 17 - Bridge Decks, 20 - Ignored Ground, 21 - Snow. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). For this mission, only folders Blocks 5, 6, 7, 8, 12, 13 and 14 were processed, as these were determined to be the QL2 files. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges. 2. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid12B model, to convert from Alaska State Plane (NAD83 2011), U.S. Feet coordinates to geographic coordinates, to assign the geokeys, to sort the data by gps time and zip the data to database and to http. |
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Process Contact: | Office for Coastal Management (OCM) |
Catalog Details
Catalog Item ID: | 63177 |
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GUID: | gov.noaa.nmfs.inport:63177 |
Metadata Record Created By: | Blake Waring |
Metadata Record Created: | 2020-11-02 16:48+0000 |
Metadata Record Last Modified By: | SysAdmin InPortAdmin |
Metadata Record Last Modified: | 2023-10-17 16:12+0000 |
Metadata Record Published: | 2022-03-16 |
Owner Org: | OCMP |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2022-03-16 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2023-03-16 |