gov.noaa.nmfs.inport:50006 eng UTF8 dataset OCM Partners 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 2024-02-29T00:00:00 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) NAD83(HARN) / UTM zone 11N2008-11-12publicationEuropean Petroleum Survey Grouphttps://apps.epsg.org/api/v1/CoordRefSystem/3741/export/?format=gmlurn:ogc:def:crs:EPSG:37416.18.3 April 2004 Lidar Point Data of Southern California Coastline: Dana Point to Point La Jolla scripps_20040402_m50_metadata 2004-06-22 publication NOAA/NMFS/EDM 50006 https://www.fisheries.noaa.gov/inport/item/50006 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://coast.noaa.gov WWW:LINK-1.0-http--link Citation URL Online Resource download https://coast.noaa.gov/dataviewer WWW:LINK-1.0-http--link Citation URL Online Resource download quarter quad names: Del Mar, Dana Point, Encinitas, La Jolla, Las Pulgas Canyon, Oceanside, San Clemente, San Luis Rey, San Onofre Bluff This data set contains lidar point data (Geodetic Coordinates) from a strip of Southern California coastline (including water, beach, cliffs, and top of cliffs) from Dana Point to La Jolla. The data set was created by combining data collected using an Optech Inc. Airborne Laser Terrain Mapper (ALTM) 1225 in combination with geodetic quality Global Positioning System (GPS) airborne and ground-based receivers. The Bureau of Economic Geology, the University of Texas at Austin owns and operates an ALTM 1225 system (serial number 99d118). The system was installed in a twin engine Partenavia P-68 (tail number N3832K) owned and operated by Aspen Helicopter, Inc. The lidar data set described by this document was collected on 2 April 2004 between 19:14 and 21:20 UTC. Julian Day 09304 (see Lineage, Source_Information, Source_Contribution for pass information). Conditions on 4 April were low clouds at 2500-3000 ft and lower over La Jolla. 99d118 instrument settings for these flights were; laser pulse rate: 25kHz, scanner rate: 26Hz, scan angle: +/- 20deg, beam divergence: narrow, altitude: 300-600m AGL, and ground speed: 95-120kts. Two GPS base stations were operating during each day of the survey, Point Loma and San Onofre on 08306 and Seal Beach and San Onofre on 08406 (see Lineage, Source_Information, Source_Contribution for coordinates). Data represented is all points including terrain, vegetation, and structures. This data also contains returns from the water surface. No processing has been done to remove returns from terrain, vegetation, structures or water surfaces. Original contact information: Contact Name: Julie Thomas/Randy Bucciarelli Contact Org: SCBPS/CDIP, Scripps Institution of Oceanography Title: Project Managers Phone: 858-534-3032 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. The data described in this document will be compared with previous and forthcoming data sets to determine rates of shoreline change along the Southern California coastline. The SCBPS program is designed to improve the understanding of beach sand transport by waves and currents, thus improving local and regional coastal management. SCBPS/CDIP is jointly funded by the US Army Corps of Engineers and the California Department of Boating and Waterways. The initial data are collected by Bureau of Economic Geology, The University of Texas at Austin: R. Gutierrez and T. Hepner. Center for Space Research, The University of Texas at Austin: A. Neuenschwander. Data are further classified and processed by the SCBPS group, located at the Scripps Institution of Oceanography. 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 2025-03-17 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 None planned, as needed Latitude Longitude beach intensity point file shoreline theme 2004 April temporal Lidar - partner (no harvest) project InPort otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2025-03-17 from the NOAA system. Cite As: OCM Partners, [Date of Access]: April 2004 Lidar Point Data of Southern California Coastline: Dana Point to Point La Jolla [Data Date Range], https://www.fisheries.noaa.gov/inport/item/50006. 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 2025-03-17 from the NOAA system. Access Constraints: none otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2025-03-17 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 2025-03-17 from the NOAA system. Distribution Liability: This data was collected in partnership with Scripps Institution of Oceanography, The University of California, San Diego. Any conclusions drawn from analysis of this information are not the responsibility of the Bureau of Economic Geology or the University of Texas at Austin, NOAA, the OCM or its partners. unclassified NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 50006 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/50006.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 elevation -117.712884 -117.249884 32.838924 33.466024 | Currentness: Ground Condition 2004-04-02 The ALTM 1225 (SN#99d118) lidar instrument has the following specifications: operating altitude = 410-2,000 m AGL; maximum laser pulse rate = 25 kHz; laser scan angle = variable from 0 to +/-20deg from nadir; scanning frequency = variable, 28 Hz at the 20deg scan angle; and beam divergence: narrow = 0.2 milliradian (half angle, 1/e). The ALTM 1225 does not digitize and record the waveform of the laser reflection, but records the range and backscatter intensity of the first and last laser reflection using a constant-fraction discriminator and two Timing Interval Meters (TIM). ALTM elevation points are computed using three sets of data: laser ranges and their associated scan angles, platform position and orientation information, and calibration data and mounting parameters (Wehr and Lohr, 1999). Global Positioning System (GPS) receivers in the aircraft and on the ground provide platform positioning. The GPS receivers record pseudo-range and phase information for post-processing. Platform orientation information comes from an Inertial Measurement Unit (IMU) containing three orthogonal accelerometers and gyroscopes. An aided-Inertial Navigation System (INS) solution for the aircraft's attitude is estimated from the IMU output and the GPS information. Wehr, A. and U. Lohr, 1999, Airborne laser scanning - an introduction and overview, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 54, no.2-3, pp.68-82. 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=50 WWW:LINK-1.0-http--link Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/50/index.html WWW:LINK-1.0-http--link Bulk Download Simple download of data files. download dataset Horizontal Positional Accuracy Selected portions from each lidar data set (last return only) were used to generate a 1m x 1m digital elevation model (DEM). Data estimated to have a horizontal accuracy of 0.01-0.03m from ground surveys using kinematic GPS techniques were superimposed on the lidar DEM and examined for any mismatch between the horizontal position of the ground GPS and the corresponding feature on the lidar DEM. Horizontal agreement between the ground kinematic GPS and the lidar was within the resolution of the 1m x 1m DEM. Vertical Positional Accuracy Ground GPS surveys were conducted within the lidar survey area to acquire ground "truth" information. The ground survey points are estimated to have a vertical accuracy of 0.01-to-0.03m. The parking lot at Torrey Pines State Park was surveyed using kinematic GPS techniques. A lidar data set was sorted to find data points that fell within 0.5m of a ground GPS survey point. The mean elevation difference between the lidar and the ground GPS was used to estimate and remove an elevation bias from the lidar. The standard deviation of these elevation differences provides estimates of the lidar precision. The April 2004 lidar data set was determined to have an elevation bias of 0.153 m in TIM1 and 0.11 m in TIM2 when compared to ground truth. The bias was removed so that mean lidar elevations have a standard deviation of 0.053 m and a vertical accuracy (1.96*RMSE) of 0.104 m. Completeness Report Data were edited by an automated method to remove obvious outliers above a threshold of 150m. Conceptual Consistency Not Applicable 1. Transfer raw ALTM 1225 flight data, airborne GPS data collected at 1 Hz using Ashtech receiver, and ground-based GPS data collected at 1 Hz using Ashtech and Trimble 4000SSI receivers to NT workstation. Generate decimated lidar point file from above three data sets using Optech's Realm 2.27 software. This is a 9-column ASCII data set with the following format: time tag; first pulse Easting, Northing, HAE; last pulse Easting, Northing, HAE; first pulse intensity; and last pulse intensity. View decimated lidar point file to check data coverage (i.e. sufficient overlap of flight lines and point spacing). 2. Compute base station coordinates using National Geodetic Survey's PAGES software. Computed aircraft trajectories for both base stations using National Geodetic Survey's KINPOS software. Coordinates for base stations and trajectories are in the International Terrestrial Reference Frame of 2000 (ITRF2000) datum. Trajectories from both base stations were merged into one. Weighting for trajectory merge is based upon baseline length (distance from base station) and solution RMS. Transformed trajectory solution from ITRF2000 to North American Datum of 1983 (NAD83). 3. Use NAD83 trajectories and aircraft inertial measurement unit data in Applanix's POSProc version 2.1.4 to compute an optimal 50Hz inertial navigation solution. 4. Substitute the aircraft position and attitude information from the inertial navigation solution into Realm 2.27. Extract calibration area data set from lidar point file for quality control and instrument calibration checks. If necessary, use multiple iterations to adjust calibration parameters (pitch, roll, and scale) and reprocess sample data set. Determine and apply bias corrections based upon ground GPS. Then generate entire lidar point file (9-column ASCII file). 5. Use the Geiod99 geoid model to convert from Height Above the GRS80 ellipsoid to elevations with respect to the North American Vertical Datum 88 (NAVD88). 6. Parse the 9-column lidar point file into 3.75-minute quarter-quadrangle components. There are some points in the file that only contain 5-columns. These are points that either the first or last pulse was not recorded. 7. UTM Easting and Northing were converted to geodetic latitude and longitude with respect to the GRS80 ellipsoid. The conversion was computed using the TMGEOD and TCONPC fortran subroutines written by T. Vincenty (NGS). Each record contains 9 columns of data: time tag (seconds in the GPS week), first return Latitude, first return Longitude, first return NAVD88, last return Latitude, last return Longitude, last return NAVD88, first return intensity, and last return intensity. In some cases either the first or last return values may be missing (5 columns). Latitude and longitude are in decimal degrees with nine significant digits to retain the 0.01m resolution of the UTM coordinates. West longitude is negative and north latitude is positive. 8. The eighteen UTM quarter-quad files were re-organized into eleven files. UTM quarter-quads files that were delineated by the same upper and lower latitude bounds were concatenated. The lat-long files were named by the month-year of the survey (e.g. mar03) and the lower latitude bounding the quarter-quad. Processing occurred 20040402-20040622. 2004-04-02T00:00:00 Created initial metadata 2003-04-18T00:00:00 The NOAA Office for Coastal Management (OCM) received files in ASCII format. The files contained LiDAR intensity and elevation measurements. OCM performed the following processing on the data to make it available within the LiDAR Data Retrieval Tool (LDART) 1. Data returned to ellipsoid heights from NAVD88, using GEOID99. 2. Data converted to LAS format. 3. The LAS data were sorted by latitude and the headers were updated. 2007-07-24T00:00:00 Source Contribution: air and ground GPS files base station coordinates (Easting, Northing, HAE) in NAD83: Dana Point (DANA) = 434088.848, 3702981.811, 52.916 Point Loma (LOMA) = 477399.6818, 3614791.197, 90.892 | Type of Source Media: digital file Air and Ground GPS files from 09304 2004-04-02 publication 2004-04-02 Source Contribution: raw lidar data from ALTM 1225 09304 Pass 1 (Carlsbad to Scripps Pier) = 19:18-19:26 UTC Pass 2 (Point La Jolla to Dana Point) = 19:29-19:54 UTC Pass 3 (Dana Point to Point La Jolla) = 19:59-20:25 UTC Pass 4 (Point La Jolla to Del Mar) = 20:27-20:30 UTC (wide divergence) 2 calibration passes between 20:32-20:35 UTC Pass 5 (Del Mar to Dana Point) = 20:37-21:02 UTC Pass 6 (Dana Point to Carlsbad) = 21:03-21:20 UTC | Type of Source Media: digital file Raw lidar data output from ALTM 1225 2004-04-02 publication 2004-04-02 The dataset has been mosaiced, reprojected, and clipped as needed from the original input files using PDAL and GDAL commands. 2025-03-17NOAA Office for Coastal Managementcoastal.info@noaa.govprocessor