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2022 NOAA Topobathy Lidar: Morro Bay, CA

Data Set (DS)  |  Office for Coastal Management (OCM)
GUID: gov.noaa.nmfs.inport:67993  |  Updated: April 5, 2024  |  Published / External 
Summary
Item Identification
Keywords
Physical Location
Data Set Info
Support Roles
Extents
Spatial Info
Access Info
Distribution Info
URLs
Tech Environment
Data Quality
Data Management
Lineage
Related Items
Catalog Details

Summary

Browse Graphic

Short Citation
Office for Coastal Management, 2024: 2022 NOAA Topobathy Lidar: Morro Bay, CA, https://www.fisheries.noaa.gov/inport/item/67993.
Full Citation Examples

Abstract

Morro Bay 2022 Topobathymetric Lidar project data were collected by NV5 Geospatial (NV5) using a Riegl VQ880GII system. Morro Bay 2022 acquisition occurred on 20220614 in two missions. The Morro Bay 2022 dataset includes topobathymetric lidar data in a LAS format 1.4, point data record format 6, with the following classifications in accordance with project specifications and the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards with the topobathymetric lidar domain profile:

1 - unclassified

1O - edge clip

2 - ground

7W - low noise

9 - NIR water surface

18W - high noise

40 - bathymetric bottom or submerged topography

41 - Green water surface

43 - Submerged object, not otherwise specified (For Morro Bay, oyster reefs have this classification,

even though exposed at low tide)

45 - water column

This dataset also includes lidar intensity values, number of returns, return number, time, and scan angle. The 100 meter buffered project area covers approximately 4,215 acres along the south central Pacific Coast of California near the town of Los Osos. LAS files were compiled in 500 m x 500 m tiles and clipped to the project boundary. The final classified lidar data were used to create topobathymetric bare earth DEMs in GeoTIFF format with 1m pixel resolution. This delivery of the Morro Bay 2022 dataset represents an area covering 97 - 500 m x 500 m LAS tiles clipped to the project boundary. This Project was completed in partnership between NOAA OCM and the NEP.

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.

Distribution Information

  • 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.

  • LAS/LAZ - LASer

    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.

Access Constraints:

None

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.

Controlled Theme Keywords

COASTAL BATHYMETRY, COASTAL ELEVATION, 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

Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202

Extents

Geographic Area 1

-120.875211° W, -120.821145° E, 35.373531° N, 35.304796° S

Time Frame 1
2022-06-14

Item Identification

Title: 2022 NOAA Topobathy Lidar: Morro Bay, CA
Short Name: ca2022_morro_m9629_metadata.xml
Status: Completed
Creation Date: 2022
Publication Date: 2022-08-30
Abstract:

Morro Bay 2022 Topobathymetric Lidar project data were collected by NV5 Geospatial (NV5) using a Riegl VQ880GII system. Morro Bay 2022 acquisition occurred on 20220614 in two missions. The Morro Bay 2022 dataset includes topobathymetric lidar data in a LAS format 1.4, point data record format 6, with the following classifications in accordance with project specifications and the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards with the topobathymetric lidar domain profile:

1 - unclassified

1O - edge clip

2 - ground

7W - low noise

9 - NIR water surface

18W - high noise

40 - bathymetric bottom or submerged topography

41 - Green water surface

43 - Submerged object, not otherwise specified (For Morro Bay, oyster reefs have this classification,

even though exposed at low tide)

45 - water column

This dataset also includes lidar intensity values, number of returns, return number, time, and scan angle. The 100 meter buffered project area covers approximately 4,215 acres along the south central Pacific Coast of California near the town of Los Osos. LAS files were compiled in 500 m x 500 m tiles and clipped to the project boundary. The final classified lidar data were used to create topobathymetric bare earth DEMs in GeoTIFF format with 1m pixel resolution. This delivery of the Morro Bay 2022 dataset represents an area covering 97 - 500 m x 500 m LAS tiles clipped to the project boundary. This Project was completed in partnership between NOAA OCM and the NEP.

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:

This Project was completed in partnership between NOAA OCM and the Morro Bay National Estuary Program (NEP) to collect topobathymetric Lidar for the Morro Bay, California project area.

Data was collected to aid NOAA in assessing the channel morphology and topobathymetric surface of the study area to support and inform coastal resource and watershed managers on decisions relating to theBuilding Climate Resilience and Improving Water Quality through Eelgrass Restoration in Morro Bay project. This project monitors eelgrass, which declined between 2007 and 2011. The decline of eelgrass led to increased sediment erosion and, therefore, an effort to replant more eelgrass. Many organisms such as otters are reliant on the eelgrass for either food or shelter. Otters play a key role in restoration efforts by removing grazers. The lidar data will assist in quantifying change in eel grass distribution over time as well as sediment transport and sea level rise.
Supplemental Information:

The Morro Bay 2022 data includes all lidar returns. An automated grounding classification algorithm was used to determine bare earth and submerged topography point classification. The automated grounding was followed with manual editing. Bathymetric intensity values were normalized for depth. Classes 2 (ground) and 40 (submerged topography) were used to create the final DEMs. The full workflow used for this project are documented in the Morro Bay 2022 Lidar technical report.

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
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
ISO 19115 Topic Category
elevation

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

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: We request that you credit the National Oceanic and Atmospheric Administration (NOAA) when you use these data in a report, publication, or presentation. Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM)

Support Roles

Data Steward

CC ID: 1186474
Date Effective From: 2022
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

CC ID: 1186473
Date Effective From: 2022
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: 1186475
Date Effective From: 2022
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: 1186476
Date Effective From: 2022
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: 1186478
W° Bound: -120.875211
E° Bound: -120.821145
N° Bound: 35.373531
S° Bound: 35.304796

Extent Group 1 / Time Frame 1

CC ID: 1186499
Time Frame Type: Discrete
Start: 2022-06-14

Spatial Information

Spatial Representation

Representations Used

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

Access Information

Security Class: Unclassified
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

CC ID: 1186479
Start Date: 2022-10-05
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9629/details/9629
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

Distribution 2

CC ID: 1186480
Start Date: 2022-10-05
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9629/index.html
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. 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: 1186471
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: 1186500
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9629/supplemental/ca2022_morro_m9629.kmz
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: KMZ
Description:

This graphic displays the footprint for this lidar data set.

URL 3

CC ID: 1186501
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9629/supplemental/Morro_Bay_Topobathymetric_Lidar_Report_2022_ADA_Rev2.pdf
Name: Lidar Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

This lidar report provides accompanying information about the collection and processing of this lidar data set.

URL 4

CC ID: 1186811
URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9630/details/9630
Name: Custom DEM 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.

Technical Environment

Description:

OS Independent

Data Quality

Horizontal Positional Accuracy:

Lidar horizontal accuracy is a function of Global Navigation Satellite System (GNSS) derived positional error, flying altitude, and INS derived attitude error. The obtained RMSEr value is multiplied by a conversion factor of 1.7308 to yield the horizontal component of the National Standards for Spatial Data Accuracy (NSSDA) reporting standard where a theoretical point will fall within the obtained radius 95 percent of the time (ACCr). Based on a flying altitude of 400 meters, an IMU error of 0.002 decimal degrees, and a GNSS positional error of 0.023 meters, the RMSEr value for the Morro Bay 2022 area is 0.034 meters, with a ACCr of 0.06 meters at the 95% confidence level. The project specification requires horizontal positions to be accurate to 1.22 m (RMSE).

Vertical Positional Accuracy:

Absolute accuracy was assessed using both Non-Vegetated Vertical Accuracy (NVA) survey methods. Survey checkpoints were evenly distributed as feasible throughout the project area. NVA compares known ground check point data that were withheld from the calibration and post-processing of the lidar point cloud to the triangulated surface generated from the ground classified lidar points. NVA is a measure of the accuracy of Lidar point data in open areas with level slope (less than 20 degrees) where the Lidar system has a high probability of measuring the ground surface and is evaluated at the 95% confidence interval (1.96*RMSE).

In the Morro Bay 2022 project area, 21 survey checkpoints were used to assess the non-vegetated vertical accuracy. Project specifications require NVA meet 0.196 m accuracy at the 95% confidence interval. Submerged topography points were tested separately. The Morro Bay 2022 area dataset Non-Vegetated Vertical Accuracy tested 0.049 m vertical accuracy at 95% confidence level against the the triangulated surface generated from the ground classified lidar points using 21 ground check points based on RMSEz (0.025 m) x 1.9600.

In the Morro Bay 2022 project area, 72 survey checkpoints were used to assess the submerged topography accuracy against the triangulated surface generated from the bathymetric bottom classified lidar points. Project specifications require submerged topography shall meet a vertical RMSE of QL2b specified in the Draft National Coastal Mapping strategy 1.0 which is equivalent to 0.30 m RMSE at a depth of 1 m. The Morro Bay 2022 area dataset submerged topography accuracy tested 0.114 m vertical accuracy at the 95% confidence level against the triangulated surface generated from the bathymetric bottom classified points cloud using 72 submerged check points, based on RMSEz (0.058 m) x 1.9600. Submerged topography checkpoints usually occur in depths up to 1m.
Completeness Report:

Data covers the 97 tiles (500m x 500m tiles).
Conceptual Consistency:

Not applicable

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

Lineage Statement:

NV5 Geospatial collected topobathy elevation data for the NOAA Office for Coastal Management (OCM) and the Morro Bay NEP (National Estuary Program). The data were processed to be available for custom download from the NOAA Digital Coast Data Access Viewer (DAV) and for bulk download from AWS S3.

Sources

NV5 Geospatial

CC ID: 1186497
Contact Role Type: Originator
Contact Type: Organization
Contact Name: NV5 Geospatial

Process Steps

Process Step 1

CC ID: 1186467
Description:

Data for the Morro Bay 2022 project area were acquired by Quantum Spatial (NV5) using Riegl VQ-880-GII Topobathy Lidar systems. All derived LAS data is referenced to:

Horizontal Datum-NAD83(2011) epoch: 2010.00

Projection-UTM Zone 10N

Horizontal Units-meters

Vertical Datum-NAVD88 (Geoid12b)

Vertical Units-meters

This Morro Bay 2022 redelivery dataset encompasses 97 - 500m x 500m tiles in southern California.

Collected Lidar data were immediately processed by NV5 to a level that allowed QA/QC measures to determine if the sensor functioned properly and to assess the coverage of submerged topography. The initial files were inspected for sensor malfunctions and then passed through automated raster generation to develop an initial assessment of bathymetric coverage. NV5 reviewed all acquired flight lines to ensure complete coverage and positional accuracy of the laser points.

NV5 resolved kinematic corrections for aircraft position data in PosPac MMS 8.5 using aircraft GNSS and Applanix's proprietary PP-RTX solution. This was used to correct continuous onboard measurements of aircraft position recorded throughout the flight. A final smoothed best estimate trajectory (SBET) was developed, blending post-processed aircraft position with attitude data. Using the SBETs, sensor head position and attitude were calculated throughout the survey.

Following final SBET creation, NV5 used RiUnite 1.0.1 to calculate laser point positioning by associating SBET positions to each laser point return time. The speed of light and its direction of travel is changed or refracted when entering the water column from air. A refraction correction was applied to account for this difference by adjusting depth (distance traveled) and horizontal positioning (change of angle/direction) of all submerged points in the Lidar data. TerraSolid v19 and NV5's proprietary software LasMonkey were used to classify water surface points and derive water surface models. Separate models were created for each scanner of each collected swath to ensure temporal differences and wave or water surface height variations between flight lines were accurately accounted for when applying refraction correction to submerged data. These models, along with the Lidar points and the SBETs, were processed in LasMonkey's refraction tool to accurately adjust the positioning of bathymetric points. Using raster-based QC methods, output data were verified to ensure the refraction tool functioned properly.

Once all submerged points were refracted by flight line, data were exported to LAS 1.4 format and combined into 500 m x 500 m tiles. NV5 used custom algorithms in Terrascan v19 to classify the initial ground/submerged topography surface points. Data were further calibrated using StripAlign 2.1 based on classified hard surface areas of swath overlap. Relative accuracy was compared and verified through the use Delta-Z (DZ) orthos created using NV5's Las Product Creator. Absolute vertical accuracy of calibrated data were assessed using ground survey data and complete coverage was again verified.

After a final automated classification, NV5 performed manual editing to review all classification and improve the final Topobathymetric surface. NV5's LasMonkey software was used to update LAS header information, including all projection and coordinate reference system information. The final Lidar data are in LAS format 1.4 and point data record format 6.

The final classification scheme is:

1 - unclassified

1O - edge clip

2 - ground

7W - low noise

9 - NIR water surface

18W - high noise

40 - bathymetric bottom or submerged topography

41 - Green water surface

43 - Submerged object, not otherwise specified (For Morro Bay, oyster reefs have this classification, even though exposed at low tide)

45 - water column
Process Date/Time: 2022-08-30 00:00:00

Process Step 2

CC ID: 1186498
Description:

The NOAA Office for Coastal Management (OCM) received 97 LAS files from NV5 Geospatial. The files contained lidar elevation and intensity measurements. The data were in UTM Zone 10N NAD83(2011), meters coordinates and NAVD88 (Geoid12B) elevations in meters. The point classifications were: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 18 - High Noise, 40 - Bathymetric Point, 41 - Water Surface, 45 - Water Column. OCM processed all point classes to the Digital Coast Data Access Viewer (DAV).

OCM performed the following processing for Digital Coast storage and provisioning purposes:

1. Internal OCM scripts were run to check the number of points by classification and by flight ID and the gps, elevation, and intensity ranges.

2. Internal OCM scripts were run on the las files to:

a. Convert from NAVD88 (Geoid12B) elevations to ellipsoid elevations

b. Convert from UTM Zone 10N NAD83 (2011), meters coordinates to geographic coordinates

c. Assign the geokeys, to sort the data by gps time and zip the data to database and to the S3 Amazon bucket.
Process Date/Time: 2022-10-05 00:00:00
Process Contact: Office for Coastal Management (OCM)

Process Step 3

CC ID: 1218334
Description:

In February 2023, the NOAA Office for Coastal Management (OCM) received 3 LAS files from NV5 Geospatial. The files contained lidar elevation and intensity measurements and replace 3 existing files. The files are: MRR22_038, MRR22_046, and MRR22_055. These 3 files include class 43 points that are classified as "Submerged object, not otherwise specified (For Morro Bay, oyster reefs have this classification, even though exposed at low tide)." The data were in UTM Zone 10N NAD83(2011), meters coordinates and NAVD88 (Geoid12B) elevations in meters. The point classifications were: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 18 - High Noise, 40 - Bathymetric Point, 41 - Water Surface, 43 - Submerged Object, 45 - Water Column. OCM processed all point classes to the Digital Coast Data Access Viewer (DAV).

OCM performed the following processing for Digital Coast storage and provisioning purposes:

1. Internal OCM scripts were run to check the number of points by classification and by flight ID and the gps, elevation, and intensity ranges.

2. Internal OCM scripts were run on the las files to:

a. Convert from NAVD88 (Geoid12B) elevations to ellipsoid elevations

b. Convert from UTM Zone 10N NAD83 (2011), meters coordinates to geographic coordinates

c. Assign the geokeys, to sort the data by gps time and zip the data to database and to the S3 Amazon bucket.
Process Date/Time: 2023-02-10 00:00:00
Process Contact: Office for Coastal Management (OCM)

Related Items

Item Type Relationship Type Title
Data Set (DS) Cross Reference 2022 NOAA Topobathy Lidar DEM: Morro Bay, CA

Catalog Details

Catalog Item ID: 67993
GUID: gov.noaa.nmfs.inport:67993
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2022-10-05 19:29+0000
Metadata Record Last Modified By: Kirk Waters
Metadata Record Last Modified: 2024-04-05 12:38+0000
Metadata Record Published: 2022-10-05
Owner Org: OCM
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-10-05
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-10-05