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Short Citation:
OCM Partners, 2023: 2018 USGS Klamath River Topobathymetric Lidar, https://www.fisheries.noaa.gov/inport/item/58661.

Item Identification

Title: 2018 USGS Klamath River Topobathymetric Lidar
Short Name: 2018 Klamath River Topobathy m8997
Status: Completed
Publication Date: 2019-01-29
Abstract:

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)

Purpose:

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.

Keywords

Theme Keywords

Thesaurus Keyword
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
ISO 19115 Topic Category
elevation
UNCONTROLLED
None Bare Earth

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > SEA FLOOR

Instrument Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging

Platform Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
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

CC ID: 895110
Date Effective From: 2020-01-01
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
Contact Instructions:

email coastal.info@noaa.gov

Distributor

CC ID: 895086
Date Effective From: 2020
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

CC ID: 895087
Date Effective From: 2020
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

CC ID: 895088
Date Effective From: 2020
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

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1143468
W° Bound: -124.097737
E° Bound: -121.768716
N° Bound: 42.292188
S° Bound: 41.179445

Extent Group 1 / Time Frame 1

CC ID: 1143467
Time Frame Type: Range
Start: 2018-06-01
End: 2018-06-14

Spatial Information

Spatial Representation

Representations Used

Grid: No
Vector: Yes
Text / Table: No
TIN: No
Stereo Model: No
Video: No

Vector Representation 1

CC ID: 895081
Point Object Present?: Yes
Point Object Count: 28232668577

Access Information

Security Class: Unclassified
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

CC ID: 895092
Start Date: 2020-01-23
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8997
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

CC ID: 895093
Start Date: 2020-01-23
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8997/index.html
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

CC ID: 895083
URL: https://coast.noaa.gov/dataviewer/
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

CC ID: 895084
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8997/supplemental/extent_klamath_m8997.kmz
Name: Browse graphic
URL Type:
Browse Graphic
File Resource Format: KML
Description:

This graphic displays the footprint for this lidar data set.

URL 3

CC ID: 895085
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8997/supplemental/USGS_Klamath_Topobathymetric_LiDAR_Imagery_Report_190725_Signed.pdf
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to data set report.

Data Quality

Vertical Positional Accuracy:

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.

Completeness Report:

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.

Conceptual Consistency:

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.

Data Management

Have Resources for Management of these Data Been Identified?: Yes
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 point cloud

CC ID: 1143462
Contact Role Type: Originator
Contact Type: Organization
Contact Name: USGS

Process Steps

Process Step 1

CC ID: 1143463
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 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.

Process Date/Time: 2019-01-29 00:00:00

Process Step 2

CC ID: 1143464
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 NVA and VVA, and density information for the project using ground control quality check points.

Process Date/Time: 2019-01-29 00:00:00

Process Step 3

CC ID: 1143465
Description:

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.

Process Date/Time: 2019-01-23 00:00:00
Process Contact: NOAA Office for Coastal Management (NOAA/OCM)
Phone (Voice): (843) 740-1202
Email Address: coastal.info@noaa.gov
Source: Lidar point cloud

Catalog Details

Catalog Item ID: 58661
GUID: gov.noaa.nmfs.inport:58661
Metadata Record Created By: Kirk Waters
Metadata Record Created: 2020-01-23 15:26+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