2018 WA DNR Lidar: Chelan, WA
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:67339 | Updated: October 17, 2023 | Published / External
Summary
Short Citation
OCM Partners, 2024: 2018 WA DNR Lidar: Chelan, WA, https://www.fisheries.noaa.gov/inport/item/67339.
Full Citation Examples
No metadata record was provided with the data. This record is populated with information from the Quantum Spatial, Inc. technical report downloaded from the Washington Dept. of Natural Resources Washington Lidar Portal. The technical report is available for download from the link provided in the URL section of this metadata record.
In September 2018, Quantum Spatial (QSI) was contracted by the Washington Department of Natural Resources (WADNR) to collect Light Detection and Ranging (LiDAR) data in the fall of 2018 for the Chelan site in central Washington. Data were collected to aid WADNR in assessing the topographic and geophysical properties of the study area to support natural resources planning and management for Chelan County, Washington. A total of 335,876 acres of 8 pulses per square meter LIDAR were acquired between 10/18/2018 and 10/27/2018. .
In addition to these the lidar point data, bare earth Digital Elevation Model (DEM) data, created from the points, are also available. These data are available for download at the link provided in the URL section of this metadata record.
Distribution Information
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LAS/LAZ - LASer
Bulk download of data files in LAZ format, geographic coordinates, orthometric heights.
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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.
None
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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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.
Controlled Theme Keywords
COASTAL ELEVATION, DIGITAL ELEVATION/TERRAIN MODEL (DEM), elevation, TERRAIN ELEVATION
Child Items
No Child Items for this record.
Contact Information
Point of Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Extents
-121.135766° W,
-120.314787° E,
48.117208° N,
47.443889° S
2018-10-18 - 2018-10-24
Collection Dates
2018-10-27
Item Identification
Title: | 2018 WA DNR Lidar: Chelan, WA |
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Status: | Completed |
Creation Date: | 2018 |
Abstract: |
No metadata record was provided with the data. This record is populated with information from the Quantum Spatial, Inc. technical report downloaded from the Washington Dept. of Natural Resources Washington Lidar Portal. The technical report is available for download from the link provided in the URL section of this metadata record. In September 2018, Quantum Spatial (QSI) was contracted by the Washington Department of Natural Resources (WADNR) to collect Light Detection and Ranging (LiDAR) data in the fall of 2018 for the Chelan site in central Washington. Data were collected to aid WADNR in assessing the topographic and geophysical properties of the study area to support natural resources planning and management for Chelan County, Washington. A total of 335,876 acres of 8 pulses per square meter LIDAR were acquired between 10/18/2018 and 10/27/2018. . In addition to these the lidar point data, bare earth Digital Elevation Model (DEM) data, created from the points, are also available. These data are available for download at the link provided in the URL section of this metadata record. |
Purpose: |
LiDAR data will be used by the County and distributed by DNR. |
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 > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM)
|
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 > WASHINGTON
|
Global Change Master Directory (GCMD) Location Keywords |
VERTICAL LOCATION > LAND SURFACE
|
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: | Quantum Spatial, Inc., Washington Dept. of Natural Resources |
Support Roles
Data Steward
Date Effective From: | 2022 |
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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: | 2022 |
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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: | 2022 |
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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: | 2022 |
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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: | -121.135766 | |
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E° Bound: | -120.314787 | |
N° Bound: | 48.117208 | |
S° Bound: | 47.443889 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2018-10-18 |
End: | 2018-10-24 |
Description: |
Collection Dates |
Extent Group 1 / Time Frame 2
Time Frame Type: | Discrete |
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Start: | 2018-10-27 |
Spatial Information
Spatial Representation
Representations Used
Grid: | Yes |
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Reference Systems
Reference System 1
Coordinate Reference System |
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Reference System 2
Coordinate Reference System |
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Access Information
Security Class: | Unclassified |
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Data Access Procedure: |
Data is available online for bulk and 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: | 2022-06-06 |
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End Date: | Present |
Download URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9506/ |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2022 - Present) |
File Name: | Bulk Download |
Description: |
Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. |
File Type (Deprecated): | LAZ |
Distribution Format: | LAS/LAZ - LASer |
Compression: | Zip |
Distribution 2
Start Date: | 2021-07-15 |
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End Date: | Present |
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9506/details/9506 |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2022 - 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 |
URLs
URL 1
URL: | https://lidarportal.dnr.wa.gov/download?ids=1353 |
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Name: | Lidar Report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Link to the Quantum Spatial, Inc. Technical Lidar Report from the Washington Lidar Portal. |
URL 2
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 3
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9506/supplemental/wa2018_chelan_m9506.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 4
URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9507/details/9507 |
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Name: | Custom Point Download |
URL Type: |
Online Resource
|
File Resource Format: | Zip |
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. |
Data Quality
Vertical Positional Accuracy: |
Vertical Accuracy reporting is designed to meet guidelines presented in the National Standard for Spatial Data Accuracy (NSSDA) (FGDC, 1998) and the ASPRS Guidelines for Vertical Accuracy Reporting for LiDAR Data v 1.0 (ASPRS, 2014). The statistical model compares known GSPs to the closest laser point. Vertical accuracy statistical analysis uses ground survey points in open areas where the LiDAR system has a very high probability that the sensor will measure the ground surface and is evaluated at the 95th percent confidence level. For the Chelan survey, 31 ground check points were withheld from the calibration and post processing of the LiDAR point cloud, with resulting nonvegetated vertical accuracy (NVA) of 0.309 feet (0.094 meters) as compared to unclassified LAS, and 0.262 feet (0.080 meters) as compared to the bare earth DEM, with 95% confidence. The NVA RMSe compared to unclassified LAS = 0.048m, while the NVA RMSe compared to bare earth DEM = 0.041m. |
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Quality Control Procedures Employed: |
QSI has high standards and adheres to best practices in all efforts. In the laboratory, quality checks are built in throughout processing steps, and automated methodology allows for rapid data processing. QSI's innovation and adaptive culture rises to technical challenges and the needs of clients like Washington DNR. Reporting and communication to our clients are prioritized through regular updates and meetings. |
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
Lineage Statement: |
The NOAA Office for Coastal Management (OCM) downloaded the GeoTiff files from the Washington Lidar Portal. |
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Sources
Washington Dept of Natural Resources
Contact Role Type: | Originator |
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Contact Type: | Organization |
Contact Name: | Washington Dept of Natural Resources |
Citation URL: | https://lidarportal.dnr.wa.gov/ |
Citation URL Name: | Washington Lidar Portal |
Process Steps
Process Step 1
Description: |
Airborne Survey The LiDAR survey was accomplished using a Riegl VQ-1560i sensor system mounted in a Cessna Caravan. Settings were used to yield an average pulse density of 8 pulses/m2 over the Chelan project area. The Riegl laser system can record unlimited range measurements (returns) per pulse, though it is not uncommon for some types of surfaces (e.g., dense vegetation or water) to return fewer pulses to the LiDAR sensor than the laser originally emitted. The discrepancy between first return and overall delivered density will vary depending on terrain, land cover, and the prevalence of water bodies. All discernible laser returns were processed for the output dataset. All areas were surveyed with an opposing flight line side-lap of â¥50% (â¥100% overlap) in order to reduce laser shadowing and increase surface laser painting. To accurately solve for laser point position (geographic coordinates x, y and z), the positional coordinates of the airborne sensor and the attitude of the aircraft were recorded continuously throughout the LiDAR data collection mission. Position of the aircraft was measured twice per second (2 Hz) by an onboard differential GPS unit, and aircraft attitude was measured 200 times per second (200 Hz) as pitch, roll and yaw (heading) from an onboard inertial measurement unit (IMU). To allow for post-processing correction and calibration, aircraft and sensor position and attitude data are indexed by GPS time. |
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Process Step 2
Description: |
Once the LiDAR data arrived in the laboratory, QSI employed a suite of automated and manual techniques for processing tasks. Processing tasks included: GPS, kinematic corrections, calculation of laser point position, relative accuracy testing, classification of ground and non-ground points, and assessments of statistical absolute accuracy. The general workflow for calibration of the LiDAR data was as follows: Resolve GNSS kinematic corrections for aircraft position data using kinematic aircraft GNSS (collected at 2Hz) and IMU (collected at 200Hz) data with Trimble CenterPoint PP-RTX methodologies. Used POSGNSS, PosPac MMS Develop a smoothed best estimate of trajectory (SBET) file that blends post-processed aircraft position with attitude data. Sensor heading, position, and attitude are calculated throughout the survey. Used POSGNSS, PosPac MMS Calculate laser point position by associating SBET position to each laser point return time, with offsets relative to scan angle, intensity, etc. This process creates the raw laser point cloud data for the entire survey in *.las (ASPRS v 1.2) format, in which each point maintains the corresponding scan angle, return number (echo), intensity, and x, y, z information. These data are converted to orthometric elevation (NAVD88 & NGVD29) by applying a Geoid correction. Used RiProcess and RiWorld Test relative accuracy using ground classified points per each flight line. Perform automated line-to-line calibrations for system attitude parameters (pitch, roll, heading), mirror flex (scale), and GNSS/IMU drift. Calibrations are performed on ground classified points from paired flight lines. Every flight line is used for relative accuracy calibration. Used TerraMatch, TerraScan, QSI Proprietary Software Assess NVA via direct comparisons of ground classified points to ground RTK survey data. Point classifications are assigned for features of interest via a combination of QSI custom algorithms and manual inspection. Used TerraScan, TerraMatch, Trimble Business Center |
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Process Step 3
Description: |
The NOAA Office for Coastal Management (OCM) downloaded 1387 lidar point files in LAZ format from the Washington Lidar Portal. The data were in Washington State Plane South NAD83(HARN), US survey feet coordinates and NAVD88 (Geoid12B) elevations in feet. The data had the following point classifications: 1 - Unclassified, 2 - Ground, 7 - Noise, 9 - Water, 17 - Bridge Deck, 21 - Snow. No metadata record was provided with the data. This record is populated with information from the Quantum Geospatial, Inc. technical report downloaded from the Washington Dept. of Natural Resources Washington Lidar Portal. That report is linked within this metadata record, please see it for additional information. 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 Washington State Plane South (NAD83 2011), US survey feet coordinates to geographic coordinates, to convert from elevations in feet to meters, to assign the geokeys, to sort the data by gps time and zip the data to database and to the Amazon s3 bucket. |
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Process Date/Time: | 2022-06-06 00:00:00 |
Process Contact: | Office for Coastal Management (OCM) |
Related Items
Item Type | Relationship Type | Title |
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Data Set (DS) | Cross Reference |
2018 WA DNR Lidar DEM: Chelan, WA |
Catalog Details
Catalog Item ID: | 67339 |
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GUID: | gov.noaa.nmfs.inport:67339 |
Metadata Record Created By: | Blake Waring |
Metadata Record Created: | 2022-06-06 15:04+0000 |
Metadata Record Last Modified By: | SysAdmin InPortAdmin |
Metadata Record Last Modified: | 2023-10-17 16:12+0000 |
Metadata Record Published: | 2022-06-06 |
Owner Org: | OCMP |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2022-06-06 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2023-06-06 |