64685
2019 DAS - GEO Lidar: Gilchrist, OR
or2019_gilchrist_m9305_metadata
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2019
2019
The Oregon Department of Administrative Services Geospatial Enterprise Office (DAS-GEO) contracted with Quantum Spatial, Inc. (QSI) in June 2019 to collect Light Detection and Ranging (LiDAR) data for the 2019 DAS-GEO Gilchrist LiDAR study area. This report summarizes the data collection and processing of the Gilchrist study area. A total of 192,686 acres of eight pulses per square meter (PPSM) LiDAR data were acquired and delivered to the client. The ground survey was performed between June 7 and June 12, 2019. The LiDAR data were collected between June 1 and June 5, 2019, with final delivery to DASGEO on August 16, 2019.
The NOAA Office for Coastal Management received the data from the Oregon Department of Parks and Recreation and processed it to the Data Access Viewer (DAV) and http. 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 download at the link provided in the URL section of this metadata record. No metadata record was provided for this data set. This record was created by the NOAA Office for Coastal Management (OCM) using information from the data report.
The 2019 DAS-GEO Gilchrist LiDAR project area is located across Deschutes, Klamath, and Lake Counties in the state of Oregon. LiDAR was collected to establish current ground elevation conditions.
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Theme
ISO 19115 Topic Category
elevation
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > OREGON
Spatial
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
Instrument
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging
Platform
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane
Theme
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus
bare earth
Theme
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus
digital elevation model (DEM)
Theme
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus
digital terrain model (DTM)
Theme
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus
hillshade
Theme
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus
intensity
Theme
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus
quadrangle
Theme
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus
topography
Theme
erosion
Spatial
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus
USA
Spatial
Continent > North America > United States Of America > Oregon > Deschutes County
Spatial
Continent > North America > United States Of America > Oregon > Klamath County
Spatial
Continent > North America > United States Of America > Oregon > Lake County
Office for Coastal Management
Charleston
SC
Data Set
Elevation
None Planned
Model (digital)
Users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, surveying, or site specific purposes. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information.
Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners.
Oregon Department of Administrative Services Geospatial Enterprise Office (DAS-GEO)
Data Steward
2021
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2021
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Metadata Contact
2021
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Point of Contact
2021
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Ground Condition
-121.849
-121.248
43.634
43.264
Range
2019-06-01
2019-06-05
No
Yes
No
No
No
Geographic 3D
EPSG:6319
NAD83(2011)
NAD83 (National Spatial Reference System 2011)
GRS 1980
6378137
298.257222101
1
Geodetic Latitude
Lat
degree
north
2
Geodetic Longitude
Lon
degree
east
3
Elipsoidal height
h
metre
up
Unclassified
Data is available online for bulk and custom downloads.
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.
2019-10-11
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9305/details/9305
2021
Organization
NOAA Office for Coastal Management
Customized Download
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.
Zip
Zip
2019-10-11
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9305/index.html
2021
Organization
NOAA Office for Coastal Management
Bulk Download
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.
LAZ
LAS/LAZ - LASer
Zip
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9305/supplemental/or2019_gilchrist_m9305.kmz
Browse graphic
Browse Graphic
KML
This graphic displays the footprint for this lidar data set.
https://coast.noaa.gov/dataviewer/
NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
Online Resource
HTML
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.
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9309/details/9309
Custom DEM download
Online Resource
Zip
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.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9305/supplemental/2019_OSW_Gilchrist_LiDAR_Data_Report.pdf
Data Set Report
Online Resource
PDF
Link to project report for this data set.
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 2019 DAS-GEO Gilchrist LiDAR study area, a total of 350 GSPs were collected and used for calibration of the LiDAR data; these points were also used for testing, and therefore this data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 5.0 cm RMSEz Vertical Accuracy Class equating to a non-vegetated vertical accuracy (NVA) equal to +/- 9.0 cm at 95% confidence (4.6 cm RMSE).
Yes
Unknown
Yes
NCEI-CO
Data is backed up to tape and to cloud storage.
Data were collected and processed by Quantum Spatial, Inc. for the OR DAS-GEO. The data were provided to the NOAA Office for Coastal Management (OCM) where the data were processed to make it available for custom download from the Data Access Viewer (DAV) and bulk download from https.
Raw Lidar
Organization
Quantum Spatial
Originator
2019-01-01
http://quantumspatial.com/
Quantum Spatial
Data collector's website
1
Ground Survey
QSI conducted a ground survey to support airborne LiDAR collection between June 7 and June 12, 2019.
Monumentation
A combination of QSI-set monuments, NGS monuments, and permanent base stations from the Oregon Real-time GNSS Network (ORGN) were used for collection of ground survey points (GSPs) using real time kinematic (RTK) and post processed kinematic (PPK) survey techniques. Monument locations were selected with consideration for satellite visibility, field crew safety, and optimal location for GSP coverage. RINEX files and final coordinates for flight support were provided using the ORGN. The coordinates used for these stations are provided as Antenna Reference Point (ARP) height in NAD83(2011) epoch 2010.00. Please see page 6 for ORGN locations and QSI and NGS monument locations in tabular and cartographic format.
Ground Survey Points
The ground survey for the DAS-GEO Gilchrist LiDAR project was conducted between June 7 and June 12, 2019. Ground survey data were used for data calibration and accuracy assessment purposes. Ground survey points (GSPs) were collected using RTK techniques. For RTK surveys, either the ORGN was utilized to broadcast a kinematic correction to a roving receiver; or a base receiver was positioned at a nearby monument to broadcast a kinematic correction to a roving receiver. For PPK surveys, however, these corrections were post-processed. RTK and PPK surveys recorded observations for a minimum of five seconds on each GCP/GSP in order to support longer baselines for post-processing. All GSP measurements were made during periods with a Position Dilution of Precision (PDOP) no greater than 3.0 and in view of at least six satellites for both receivers. Relative errors for the position were required to be less than 1.5 centimeters horizontal and 2.0 centimeters vertical in order to be accepted.
2019-06-12T00:00:00
2
Airborne Survey
All data for the 2019 DAS-GEO Gilchrist project area were flown between June 1 and June 5, 2019 utilizing a Leica ALS80 sensor mounted in a Cessna Grand Caravan aircraft. The LiDAR system for the Leica ALS80 sensor was set to acquire ≥333,000 laser pulses per second (i.e. 333 kHz pulse rate) and flown at 1,650 meters above ground level (AGL), capturing a 40 degree field of view. These settings and flight parameters are developed to yield points with an average native density of ≥8 over terrestrial surfaces. The native pulse density is the number of pulses emitted by the LiDAR system. Some types of surfaces (e.g., dense vegetation or water) may return fewer pulses than the laser originally emitted. Therefore, the delivered density can be less than the native density and vary according to distributions of terrain, land cover, and water bodies. The study area was surveyed with opposing flight line side-lap of ≥60% (≥100% overlap) for the ALS80 sensor to reduce laser shadowing and increase surface laser painting. The system allows for an unlimited number of LiDAR return measurements per pulse, and all discernible laser returns were processed for the output data set. The LiDAR sensor operators constantly monitored the data collection settings during acquisition of the data, including pulse rate, power setting, scan rate, gain, field of view, and pulse mode. For each flight the crew performed airborne calibration maneuvers designed to improve the calibration results during the data processing stage. The LiDAR coverage was completed with no data gaps or voids, barring non-reflective surfaces (e.g., open water, wet asphalt). All necessary measures were taken to acquire data under conditions (e.g., minimum cloud decks) and in a manner (e.g., adherence to flight plans) that prevented the possibility of data gaps. All QSI LiDAR systems are calibrated per the manufacturer and our own specifications, and tested by QSI for internal consistency among every mission using proprietary methods.
To solve for laser point position, an accurate description of aircraft position and attitude is vital. Aircraft position is described as x, y, and z and was measured twice per second (two hertz) by an onboard differential GPS unit. Aircraft attitude is described as pitch, roll, and yaw (heading) and was measured 200 times per second (200 hertz) from an onboard inertial measurement unit (IMU).
Weather conditions were constantly assessed in flight, as adverse conditions not only affect data quality, but can prove unsafe for flying.
2019-06-05T00:00:00
3
Processing
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 GPS kinematic corrections for aircraft position data using kinematic aircraft GPS (collected at two hertz) and static ground GPS (one hertz) data collected over geodetic controls.
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.
Calculate laser point position by associating SBET information to each laser point return time, with offsets relative to scan angle, intensity, etc. included. This process creates the raw laser point cloud data for the entire survey in *.las (ASPRS v. 1.4) 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) by applying a Geoid 12B correction.
Import raw laser points into subset bins (less than 500 megabytes, to accommodate file size constraints in processing software). Filter for noise and perform manual relative accuracy calibration.
Classify ground points and 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 GPS/IMU drift. Calibrations are performed on ground classified points from paired flight lines. Every flight line is used for relative accuracy calibration.
Assess non-vegetated vertical accuracy via direct comparisons of ground classified points to reserved ground survey data.
Assign headers (e.g., projection information, variable length record, project name, GEOTIFF tags) to *.las files.
2019-01-01T00:00:00
4
The NOAA Office for Coastal Management (OCM) received 662 lidar point cloud files in laz format from the Oregon Parks and Recreation Dept. The files contained lidar elevation and intensity measurements. The data were in Oregon Lambert Conformal Conic (NAD83 2011), international feet coordinates and NAVD88 (Geoid12B) elevations in feet. The data were classified as: 1-Unclassified, 2-Ground, 7 - Low Noise, 17 - Bridge Decks, 18 - High Noise. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 7, 17, 18. No metadata record was provided for this data set. This record was created by the NOAA Office for Coastal Management (OCM) using information from the data report.
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 Geoid 12B model, to convert from Oregon Lambert Conformal Conic (NAD83 2011), international feet coordinates to geographic coordinates, to convert vertical 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.
2021-05-24T00:00:00
Organization
Office for Coastal Management
OCM
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
64729
Data Set
2019 DAS - GEO Lidar DEM: Gilchrist, OR
Cross Reference
gov.noaa.nmfs.inport:64685
Rebecca Mataosky
2021-05-24T18:02:08
SysAdmin InPortAdmin
2023-10-17T16:12:34
2022-03-16
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16