58661
2018 USGS Klamath River Topobathymetric Lidar
2018 Klamath River Topobathy m8997
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2019-01-29
Product: These are Digital Elevation Model (DEM) data for the USGS Klamath River Topobathymetric LiDAR project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 1 meter hydro-flattened Raster DEM.
Geographic Extent: This dataset and derived products encompass an area covering approximately 72,030 acres of Northern California and Southern Oregon.
Dataset Description: RAW flight line swaths along with multi-beam sonar were processed to create 2,262 classified LAS 1.4 files delineated in 500 m x 500 m tiles. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. Additionally 105 files have incorporated sonar point information which has been calibrated, controlled, and classified. Sonar data has been assigned a flightline number/point source ID of 0. Additional derived products include intensity images, topobathymetric DEMs, highest hit surface models, 3D breaklines of rivers and lakes within the study area, 30cm contours, and a bathymetric coverage shape.
Ground Conditions: Ground condition free of snow. Acquisition below aircraft free of smoke, fog and cloud cover. Ground Control Points were acquired and calibrated by Quantum Spatial, Inc.
(Please note that 2 tiles contain no data due to their size and therefore do not exist. These tiles include 10TEM110310, 10TEM765550)
The purpose of the lidar data was to produce a high accuracy 3D dataset that meets all necessary standards laid out by the USGS Klamath River contract.
The raw lidar point cloud data were used to create classified lidar LAS files, intensity images, topobathymetric DEMs, hydro-flattened DEMs, highest hit surface models, 3D breaklines of rivers and lakes within the study area, 30cm contours, and a bathymetric coverage shape.
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY
Theme
ISO 19115 Topic Category
elevation
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Spatial
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
Spatial
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > SEA FLOOR
Instrument
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging
Platform
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane
Theme
Bare Earth
Office for Coastal Management
Charleston
SC
Data Set
Elevation
None Planned
Model (digital)
Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners
USGS; Quantum Spatial, Inc.
Data Steward
2020-01-01
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
email coastal.info@noaa.gov
Distributor
2020
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
2020
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
2020
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
-124.097737
-121.768716
42.292188
41.179445
Range
2018-06-01
2018-06-14
No
Yes
No
No
No
Yes
28232668577
Unclassified
Data is available online for bulk or 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.
2020-01-23
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8997
2020
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. Change to an orthometric vertical datum is one of the many options.
Zip
Zip
2020-01-23
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8997/index.html
2020
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. They will be in an orthometric datum.
LAZ
LAS/LAZ - LASer
Zip
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8997/supplemental/extent_klamath_m8997.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://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8997/supplemental/USGS_Klamath_Topobathymetric_LiDAR_Imagery_Report_190725_Signed.pdf
Dataset report
Online Resource
PDF
Link to data set report.
The specifications require that Non-vegetated Vertical Accuracy (NVA) be computed from the both the raw lidar point cloud swath files and the derived DEMs. Additionally, the Vegetated Vertical Accuracy (VVA) is computed from the derived DEMs. Bathymetric Accuracy was calculated against bathymetric classified points. The NVA was tested with 21 independent check points located in open terrain, and distributed throughout the project as feasible, while VVA was tested with 9 independent check points located in a variety of vegetation classes distributed throughout the project area as feasible. Bathymetric accuracy was tested with 103 independent check points taken in various submerged locations along the river. These check points were not used in the calibration or post processing of the lidar point cloud data. Specifications for this project require that the NVA be 19.6 cm meters or better AccuracyZ at 95% confidence level and that the VVA be 29.4 cm or better AccuracyZ at the 95th percentile. Bathymetric accuracies were calculated at 95% confidence level.
Quantitative value: 0.074 0.080 0.163 0.089, Test that produced the value: The Non-vegetated Vertical Accuracy (NVA) of this dataset, tested at a 95% confidence level against the lidar point cloud is 0.074 m. Please see the LiDAR data report for a discussion of the statistics related to this dataset.
The Non-vegetated Vertical Accuracy (NVA) of this dataset, tested at a 95% confidence level against the derived digital elevation model is 0.080 m. Please see the LiDAR data report for a discussion of the statistics related to this dataset.
The Vegetated Vertical Accuracy (VVA) of this dataset, tested at a 95th percentile against the derived digital elevation model is 0.163 m. Please see the LiDAR data report for a discussion of the statistics related to this dataset.
The submerged bathymetric accuracy of this dataset, tested at a 95% confidence level against the lidar point cloud is 0.089 m. Please see the LiDAR data report for a discussion of the statistics related to this dataset.
LAS files include all data points collected. No points have been removed or excluded. 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. The raw point cloud is of good quality and data passes Vertical Accuracy specifications.
Classified LAS files were tested by QSI for both vertical and horizontal accuracy. All data is seamless from one tile to the next, no gaps or no data areas.
Yes
Unknown
Yes
NCEI-CO
Data is backed up to tape and to cloud storage.
Lidar point cloud
Organization
USGS
Originator
1
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 geoid12b 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.
2019-01-29T00:00:00
2
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 NVA and VVA, and density information for the project using ground control quality check points.
2019-01-29T00:00:00
3
Lidar point clouds were obtained from the USGS in UTM zone 10 horizontally and NAVD88 (GEOID12B) vertically, both with units of meters. They were converted to geographic coordinates and ellipsoid heights for ingestion into the Digital Coast Data Access Viewer.
2019-01-23T00:00:00
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
Lidar point cloud
gov.noaa.nmfs.inport:58661
Kirk Waters
2020-01-23T15:26:53
SysAdmin InPortAdmin
2023-10-17T16:12:19
2022-03-16
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16