gov.noaa.nmfs.inport:57916 eng UTF8 dataset Elevation Office for Coastal Management resourceProvider NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact 2026-03-04T19:17:17 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) point 491217866 NAD83(2011) / UTM zone 10N2008-11-12publicationEuropean Petroleum Survey Grouphttps://apps.epsg.org/api/v1/CoordRefSystem/6339/export/?format=gmlurn:ogc:def:crs:EPSG:63396.18.3 2019 NOAA Topobathy Lidar: Morro Bay, CA 2019_NOAA_MorroBay_LIdar 2019-10-01 creation publication NOAA/NMFS/EDM 57916 https://www.fisheries.noaa.gov/inport/item/57916 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8892/supplemental/NOAA_Morro_Bay_Topobathymetric_LiDAR_Sonar_Integration_Report_V2.pdf WWW:LINK-1.0-http--link Project Report Link to PDF of data set report. download https://coast.noaa.gov/dataviewer/ WWW:LINK-1.0-http--link NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) 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. download These data represent integrated lidar and sonar topobathymetric point cloud data. Quantum Spatial, Inc. (QSI) collected the topobathymetric lidar using a Riegl VQ880GII system on May 22, 2019. Merkel and Associates collected sonar data to provide bathymetric surface modeling in areas lacking lidar coverage. The sonar was collected between June 17th-19th, 2019 using a SEA SWATHplus-H sonar system. QSI performed the lidar/sonar integration. The dataset includes topobathy data in a LAS 1.4 format file with the following classification:1-Unclassified, 1-O (Overlap bit) - Edge clip (geometrically unreliable points at the edge of flightline swaths), 2-Ground, 7-Noise, 9-NIR water surface, 20-Ignored ground and sonar (excluded for seamless model creation), 40-Bathymetric point, 41-Green laser water surface,and 45- Green laser water column in accordance with project specifications. Sonar data has been assigned a Point Source ID of 9 and a User Byte of 2. All other data is lidar-derived. The NOAA Morro Bay area of covers approximately 4,215 acres over Morro Bay, including the Morro Bay Estuary and roughly 3.6 miles of coastline. LAS files were compiled by 500 m x 500 m tiles. This data set contains point cloud data(' in LAZ (compressed LAS) format', ''). The data may have been reprojected or otherwise modified from the original data in an automated process. Disregard projection information in this abstract and refer to the spatial reference section. Data was collected to aid NOAA in assessing the channel morphology and topobathymetric surface of the study area to support the Morro Bay National Estuary Program in habitat restoration and management. We request that you credit the National Oceanic and Atmospheric Administration (NOAA) when you use these data in a report, publication, or presentation., National Oceanic and Atmospheric Administration (NOAA), Office of Coastal Management The custom download may be cited as National Oceanic and Atmospheric Administration (NOAA) Digital Coast Data Access Viewer. Charleston, SC: NOAA Office for Coastal Management. Accessed 2026-04-06 at https://coast.noaa.gov/dataviewer. completed NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information custodian notPlanned https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8892/supplemental/Morro_Bay_Footprint_m8892.kmz This graphic displays the footprint for this lidar data set. KML EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION theme Global Change Master Directory (GCMD) Science Keywords 17.0 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA VERTICAL LOCATION > LAND SURFACE VERTICAL LOCATION > SEA FLOOR place Global Change Master Directory (GCMD) Location Keywords 20.8 LIDAR > Light Detection and Ranging instrument Global Change Master Directory (GCMD) Instrument Keywords 17.2 Airplane > Airplane platform Global Change Master Directory (GCMD) Platform Keywords 17.2 Sonar beach erosion theme DOC/NOAA/NOS/OCM > Office of Coastal Management, National Ocean Service, NOAA, U.S. Department of Commerce dataCentre Global Change Master Directory (GCMD) Data Center Keywords 2017-04-24 publication 8.5 Lidar project InPort otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-04-06 from the NOAA system. Cite As: Office for Coastal Management, [Date of Access]: 2019 NOAA Topobathy Lidar: Morro Bay, CA [Data Date Range], https://www.fisheries.noaa.gov/inport/item/57916. NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose. otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-04-06 from the NOAA system. Access Constraints: None otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-04-06 from the NOAA system. 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. otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-04-06 from the NOAA system. 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 unclassified 2019 NOAA Topobathy Lidar DEM (Interpolated): Morro Bay, CA NOAA/NMFS/EDM 57930 crossReference 2019 NOAA Topobathy Lidar DEM (Voids): Morro Bay, CA NOAA/NMFS/EDM 57923 crossReference NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 57916 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocm/dmp/pdf/57916.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference vector eng; US oceans OS Independent -120.875211 -120.821145 35.304796 35.373531 | Currentness: Ground Condition 2019-05-22 2019-06-19 The data includes all lidar and sonar 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. The full workflow used for this project is documented in the NOAA Morro Bay final report. Zip Zip LAS/LAZ - LASer Zip NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information distributor https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8892 WWW:LINK-1.0-http--link 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. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8892/index.html WWW:LINK-1.0-http--link 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. download dataset Horizontal Positional Accuracy Not Tested Vertical Positional Accuracy Absolute accuracy was assessed using the Non-Vegetated Vertical Accuracy (NVA) checks. Survey checkpoints were evenly distributed throughout the project area as feasible. 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 by the unclassified LiDAR point cloud as well as the derived gridded bare earth DEM. 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 area 20 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. Specifications for this project also require that bathymetric accuracy meet the standard laid out in the National Coastal Mapping Strategy (NCMS) V1.0 for QL2b Bathy Lidar which was estimated to be 30cm at a 95% confidence level. In the Morro Bay area 81 survey checkpoints were used to assess the submerged topography accuracy. Submerged topography checkpoints usually occur in depths up to 1m. Qualitative value:0.035 0.052 0.101, Test that produced the value: Using NSSDA and FEMA methodology, the point cloud non-vegetated vertical accuracy (NVA) at the 95% confidence level (called Accuracyz) was computed by the formula RMSEz x 1.9600. Morro Bay dataset tested 0.035 m vertical accuracy at 95% confidence level against the unclassified Lidar point cloud in open terrain using 20 ground check points, based on RMSEz (0.018 m) x 1.9600. Using NSSDA and FEMA methodology, bathymetric vertical accuracy at the 95% confidence level for submerged topography was computed by the formula RMSEz x 1.9600. Morro Bay dataset tested 0.101 m vertical accuracy at 95% confidence level against the classified points cloud using 81 submerged check points, based on RMSEz (0.052 m) x 1.9600. Completeness Report Morro Bay data covers 97 tiles (500 m x 500 m tiles). Conceptual Consistency Not applicable Topobathy lidar and side scan sonar data were collected within the study area. These data were processed to produce a seamless data set. Data for the NOAA Morro Bay project was acquired by Quantum Spatial (QSI) using a Riegl VQ-880GII Topobathy LiDAR system. Sonar data was collected by Merkel and Associates using a SEA SWATHplus-H sonar system. QSI reviewed all acquired flight lines to ensure complete coverage and positional accuracy of the laser points. QSI creates an initial product call Quick Look Coverage Maps. These Quick Looks files are not fully processed data or final products. The collected LiDAR data is immediately processed in the field by QSI to a level that will allow QA\QC measures to determine if the sensor is functioning properly and assess the coverage of submerged topography. An initial SBET was created in POSPAC MMS 8.1 and used in RiProcess which applies pre-calibrated angular misalignment corrections of scanner position to extract the raw point cloud into geo-referenced LAS files. These files were inspected for sensor malfunctions and then passed through automated classification routines (TerraScan) to develop a rough topobathymetric ground model for an initial assessment of bathymetric coverage. To correct the continuous onboard measurements of the aircraft position recorded throughout the missions, QSI concurrently conducted multiple static Global Navigation Satellite System (GNSS) ground surveys (1 Hz recording frequency) over established monuments located in or around the project area. After the airborne survey, the static GPS data were triangulated with nearby Continuously Operating Reference Stations (CORS) using the Online Positioning User Service (OPUS) for precise positioning. Multiple independent sessions over the same monument were processed to confirm antenna height measurements and to refine position accuracy. QSI then resolved kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data. A final smoothed best estimate trajectory (SBET) was developed that blends post-processed aircraft position with attitude data. Sensor head position and attitude are calculated throughout the survey. The SBET data are used extensively for laser point processing. The software Trimble Business Center v.3.90, Blue Marble Geographic Calculator 2017, and PosPac MMS 8.1 SP3 are used for these processes. Next, QSI used RiProcess 1.8.5 to calculate laser point positioning of the Riegl VQ-880GII data by associating SBET positions to each laser point return time, scan angle, intensity, etc. A raw laser point cloud is created in Riegl data format and erroneous points are filtered. Data was exported to LAS 1.4 format and are combined into 500 m x 500 m tiles. Data was then further calibrated using TerraScan, TerraModeler, and TerraMatch and a refraction correction was applied to all sub-water surface returns using QSI proprietary LAS Monkey software. QSI used custom algorithms in TerraScan to create the initial ground/submerged topography surface. Relative accuracy of the green swaths was compared to overlapping and adjacent swaths and verified through the use Delta-Z (DZ) orthos created using QSI's DZ Ortho creator. Absolute vertical accuracy of the calibrated data was assessed using ground RTK survey data and complete coverage was again verified. QSI then performed manual editing to review all classification and improve the final topobathymetric surface. A final bathymetric void shape was created after final editing and provided to Merkel and Associates to target for sonar data collection. The acquired sonar was then integrated into the LiDAR dataset to provide a seamless bathymetric model. As a general rule, in areas of overlap sonar data was prioritized in deeper areas of the channel while LiDAR data was prioritized in shallower areas of the channel including all areas not submerged during the LiDAR collection. As the lidar laser approaches the laser’s extinction point bathymetric surface profiles and point density degrade thus the prioritization of sonar data in these areas. Conversely side-scan sonar does better when water depths are greater than 1m as areas shallower than this are prone to increased noise making the lidar data more reliable in these areas. Within the Morro Bay site there was one notable area of significant temporal change. The sand spit at the mouth of the bay displayed a difference as great as 5 meters from the lidar survey. Despite this area being collected at true ground during the lidar survey, the sonar data was used in this area being the most temporally recent data and collected at high tide with high confidence in the surface. All data from either sensor that was not used in model creation is still preserved in the point cloud as Ignored Ground/Bathymetry (class 20). Please see Appendix B of the NOAA Morro Bay Report for more information regarding the sonar acquisition and processing. QSI's LasMonkey 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 NOAA Office for Coastal Management (OCM) received 97 LAS files from Quantum Spatial. The files contained lidar elevation and intensity measurements. The data were in UTM Zone 10 coordinates and ellipsoid elevations in meters. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. Converted from UTM Zone 10 to geographic coordinates 2. Sorted by gps time 3. Compressed the data using laszip Office for Coastal Management processor Processed Topobathy Quantum Spatial (QSI) originator Raw Lidar Quantum Spatial (QSI) originator Sonar Data Merkel and Associates originator The dataset has been mosaiced, reprojected, and clipped as needed from the original input files using PDAL and GDAL commands. 2026-04-06NOAA Office for Coastal Managementcoastal.info@noaa.govprocessor