2016 - 2017 PSLC Lidar: King County, WA
OCM Partners
Data Set
(DS)
| ID: 53388
| Published / External
Created: 2018-08-27
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Last Modified: 2023-05-30
Project (PRJ) | ID: 49401
ID: 53388
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | 2016 - 2017 PSLC Lidar: King County, WA |
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Short Name | wa2016_pslc_king_m8588_metadata |
* Status | Completed |
Creation Date | |
Revision Date | |
• Publication Date | 2018-01-25 |
* » Abstract |
This metadata record was created by the NOAA Office for Coastal Management (OCM). Information from the PSLC King County 2016 - 2017 Lidar Final Technical Data Report, dated June 23, 2017, were used to populate this record. In February 2016, Quantum Spatial (QSI) was contracted by the Puget Sound LiDAR Consortium (PSLC) in association with the Kitsap County Department of Emergency Management to collect Light Detection and Ranging (LiDAR) data in early 2016 for the PSLC King County sites in Washington. Data were collected to aid PSLC in assessing the topographic and geophysical properties of the study area to support a variety of tasks including municipal planning, change detection and geomorphic mapping, and hazard mitigation. These data were collected between February 24, 2016 and May 25, 2017. OCM downloaded 2664 laz files from the PSLC ftp site (http://pugetsoundlidar.org/lidardata/restricted/las/pslc2016/KingCounty, Delivery 1, 2, 3, 4 Block 1 and 4 Block 2) and processed the data to the Data Access Viewer (DAV) and https. During processing, OCM noted that there are ground classified points in water bodies. In addition to these lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data are also available. These data are available for custom download at the link provided in the URL section of this metadata record. |
* Purpose |
Data were collected to aid PSLC in assessing the topographic and geophysical properties of the study area to support a variety of tasks including municipal planning, change detection and geomorphic mapping, and hazard mitigation. |
Notes | |
Other Citation Details | |
• Supplemental Information | |
DOI (Digital Object Identifier) | |
DOI Registration Authority | |
DOI Issue Date |
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 > COASTAL PROCESSES > COASTAL ELEVATION |
ISO 19115 Topic Category | elevation |
None | erosion |
Temporal Keywords
Thesaurus | Keyword |
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* Spatial Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Location Keywords | CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > WASHINGTON |
Global Change Master Directory (GCMD) Location Keywords | VERTICAL LOCATION > LAND SURFACE |
Stratum Keywords
Thesaurus | Keyword |
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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 |
• Country | |
• » Location Description |
Data Set Information
* Data Set Scope Code | Data Set |
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• Data Set Type | Elevation |
• Maintenance Frequency | None Planned |
Maintenance Note | |
» Data Presentation Form | Point Cloud (Digital) |
• Entity Attribute Overview | |
Entity Attribute Detail Citation | |
Entity Attribute Detail URL | |
Distribution Liability |
Users should not use these data for critical applications without a full awareness of its limitations. Any conclusions drawn from the analysis of this information are not the responsibility of PSLC, NOAA, the Office for Coastal Management or its partners. |
Data Set Credit | Acknowledgement of PSLC would be appreciated for products derived from these data. |
Support Roles
* » Support Role | Data Steward |
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* » Date Effective From | 2018 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Distributor |
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* » Date Effective From | 2018 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Metadata Contact |
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* » Date Effective From | 2018 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Point of Contact |
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* » Date Effective From | 2018 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
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Extents
Currentness Reference | Ground Condition |
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Extent Group 1
Extent Description |
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Extent Group 1 / Geographic Area 1
* » W° Bound | -122.5459 |
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* » E° Bound | -121.069 |
* » N° Bound | 47.8308 |
* » S° Bound | 47.13 |
* » Description |
Extent Group 1 / Vertical Extent
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Extent Group 1 / Time Frame 1
* » Time Frame Type | Range |
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* » Start | 2016-02-24 |
End | 2017-05-25 |
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Description |
Spatial Information
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Spatial Representation
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TIN Representation Used? | |
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Reference Systems
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Access Information
* » Security Class | Unclassified |
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* Security Classification System | |
Security Handling Description | |
• Data Access Policy | |
» Data Access Procedure |
Data is available online for bulk and custom downloads. |
• » Data Access Constraints |
None |
• Data Use Constraints |
In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the LiDAR data. TINing the points produces large triangles and hence the elevations may be less accurate within such areas. Elevation values for open water surfaces should be considered approximate due to the increase of laser noise seen over water, frequent lack of returns, and the overall dynamic nature of water. 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. |
Metadata Access Constraints | |
Metadata Use Constraints |
Distribution Information
Start Date | 2018 |
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End Date | Present |
» Download URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8588 |
Distributor | |
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. |
File Date/Time | |
File Type | |
File Size | |
Application Version | |
Compression | Zip |
Review Status |
Start Date | 2018 |
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End Date | Present |
» Download URL | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8588/index.html |
Distributor | |
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. |
File Date/Time | |
File Type | LAZ |
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URLs
URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8589 |
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Name | |
URL Type | Online Resource |
File Resource Format | |
Description |
Link to custom download, from the Data Access Viewer (DAV), the raster Digital Elevation Model (DEM) data that were created from this lidar data set. |
URL | https://coast.noaa.gov/ |
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Name | NOAA's Office for Coastal Management (OCM) website |
URL Type | Online Resource |
File Resource Format | HTML |
Description |
Information on the NOAA Office for Coastal Management (OCM) |
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 | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8588/supplemental/wa2016_pslc_king_m8588.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 | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8588/supplemental/King_County_LiDAR_Cumulative_Technical_Data_Report.pdf |
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Name | Dataset technical final report |
URL Type | Online Resource |
File Resource Format | |
Description |
Link to final technical report. |
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Activity Log
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Issues
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Technical Environment
Description |
Waypoint Interial Explorer v.8.6; Leica Cloudpro v. 1.2.2; TerraScan v.17; TerraMatch v.17; TerraModeler v.17; ArcMap v.10.2.2; Las Monkey; Las Product Creator |
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Data Quality
Representativeness | |
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Accuracy | |
Analytical Accuracy | |
Horizontal Positional Accuracy | |
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 Accuracy3. NVA compares known ground quality assurance point data collected on open, bare earth surfaces with level slope (<20 degrees) to the triangulated surface generated by the LiDAR points. 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 absolute accuracy statistics for the individual King County deliveries are documented in the Final Technical Report, Appendix B (Table 14 and Table 15, Figure 18 through Figure 27). The mean and standard deviation (sigma σ) 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 King County survey area, 217 quality assurance points were withheld in total resulting in a non-vegetated vertical accuracy of 0.204 feet (0.062 meters) or RMSE of 3.2 cm. |
Quantitation Limits | |
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Comparability | |
Completeness Measure | |
Precision | |
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Field Precision | |
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Detection Limit | |
Completeness Report |
LiDAR data has been collected and processed for all areas within the project study area. |
Conceptual Consistency |
Shaded relief images have been visually inspected for data errors such as pits, border artifacts, and shifting. LiDAR flight lines have been examined to ensure consistent elevation values across overlapping flight lines. |
» Quality Control Procedures Employed |
Data Management
» Have Resources for Management of these Data Been Identified? | |
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» Approximate Percentage of Budget for these Data Devoted to Data Management | |
» Do these Data Comply with the Data Access Directive? | |
» Is Access to the Data Limited Based on an Approved Waiver? | |
» If Distributor (Data Hosting Service) is Needed, Please Indicate | |
» Approximate Delay Between Data Collection and Dissemination | |
» If Delay is Longer than Latency of Automated Processing, Indicate Under What Authority Data Access is Delayed |
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» Actual or Planned Long-Term Data Archive Location | |
» If World Data Center or Other, Specify | |
» If To Be Determined, Unable to Archive, or No Archiving Intended, Explain |
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» Approximate Delay Between Data Collection and Archiving | |
» How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive? |
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Lineage
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Sources
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Process Steps
Process Step Number | 1 |
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» Description |
Acquisition. Quantum Spatial collected the PSLC King County LiDAR data between 02/24/16 and 5/25/17. The survey used a Leica ALS80 laser system mounted in a Cessna Caravan 208B. Data was collected using a multi pulse flight plan. Ground level GPS and aircraft IMU were collected during the flight. |
Process Date/Time | 2016-03-28 00:00:00 |
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Process Step Number | 2 |
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» Description |
1. Flight lines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points. 2. Laser point return coordinates were computed using Waypoint Inertial Explorer and Leica Cloudpro software based on independent data from the LiDAR system, IMU, and aircraft. 3. The raw LiDAR file was assembled into flight lines per return with each point having an associated x, y, and z coordinate. 4. Visual inspection of swath to swath laser point consistencies within the study area were used to perform manual refinements of system alignment. 5. Custom algorithms were designed to evaluate points between adjacent flight lines. Automated system alignment was computed based upon randomly selected swath to swath accuracy measurements that consider elevation, slope, and intensities. Specifically, refinement in the combination of system pitch, roll and yaw offset parameters optimize internal consistency. 6. Noise (e.g., pits and birds) was filtered using postprocessing software, based on known elevation ranges and included the removal of any cycle slips. 7. Using TerraScan and Microstation, ground classifications utilized custom settings appropriate to the study area. 8. The corrected and filtered return points were compared to the RTK ground survey points collected to verify the vertical accuracy. |
Process Date/Time | 2017-06-01 00:00:00 |
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Process Step Number | 3 |
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» Description |
The NOAA Office for Coastal Management (OCM) downloaded 2664 laz files from this PSLC site: http://pugetsoundlidar.org/lidardata/restricted/las/pslc2016/KingCounty, Delivery 1, 2, 3, 4 Block 1 and 4 Block 2. The data were in WA State Plane North coordinates and NAVD88 (Geoid03) elevations in US survey feet. The data were classified as: 1 - Unclassified, 2 - Ground. During processing, OCM noted that there are ground classified points in water bodies. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. The LAStools software scripts lasinfo and lasvalidate were run on the laz files to check for errors. 2. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges. 3. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid 03 model, to convert from WA State Plane North coordinates in feet to geographic coordinates, to convert elevations from feet to meters, to assign the geokeys, to sort the data by gps time and zip the data to database and to http. |
Process Date/Time | 2018-08-27 00:00:00 |
Process Contact | Office for Coastal Management (OCM) |
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Acquisition Information
Instruments
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FAQs
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Child Items
Rubric scores updated every 15m
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Related Items
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Catalog Details
Catalog Item ID | 53388 |
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Metadata Record Created By | Rebecca Mataosky |
Metadata Record Created | 2018-08-27 15:53+0000 |
Metadata Record Last Modified By | SysAdmin InPortAdmin |
» Metadata Record Last Modified | 2023-05-30 18:10+0000 |
Metadata Record Published | 2022-03-16 |
Owner Org | OCMP |
Metadata Publication Status | Published Externally |
Do Not Publish? | N |
Metadata Workflow State | Published / External |
Metadata Last Review Date | 2022-03-16 |
Metadata Review Frequency | 1 Year |
Metadata Next Review Date | 2023-03-16 |
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