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October 2003 Lidar Point Data of Southern California Coastline: Newport Beach to US/Mexican Border

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 Newport Beach to the US/Mexico border. 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 N6602L) owned and operated by Aspen Helicopter, Inc. The lidar data set described by this document was collected on 24 and 25 October 2003; Julian Days 29703 and 29803 (see Lineage, Source_Information, Source_Contribution for pass information). Conditions on both days were haze, low clouds, and smoke over Los Angeles and Camp Pendleton. 99d118 instrument settings for these flights were; laser pulse rate: 25kHz, scanner rate: 26Hz, scan angle: +/- 20deg, beam divergence: narrow, altitude: 1038-1106m AGL, and ground speed: 99-119kts. Three GPS base stations (Seal Beach, Dana Point, and Point Loma, see Lineage, Source_Information, Source_Contribution for coordinates) were operating during the survey. 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.

Cite this dataset when used as a source.

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    Distribution Formats
    • LAZ
    Distributor Distributor information not available
    Point of Contact Julie Thomas/Randy Bucciarelli
    SCBPS/CDIP, Scripps Institution of Oceanography
    Documentation links not available.
    • Southern California Beach Processes Study (SCBPS)/Coastal Data Information Program (CDIP) part of Scripps Institution of Oceanography (SIO) in cooperation with Bureau of Economic Geology, University of Texas at Austin.
    • Scripps Institute of Oceanography
    • Center for Space Research, University of Texas at Austin
    • Bureau of Economic Geology, University of Texas at Austin
      • publication: 2004-08-31
      Data Presentation Form: Digital image
      Dataset Progress Status Complete
      Data Update Frequency: As needed
      Supplemental Information: 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.
      Purpose: 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.
      Time Period: 2003-10-24  to  2003-10-25
      Spatial Reference System:
      Spatial Bounding Box Coordinates:
      N: 33.627756
      S: 32.749956
      E: -117.247212
      W: -117.953012
      Spatial Coverage Map:
      • shoreline
      • beach
      • Bathymetry/Topography
      • lidar
      • laser
      • point file
      • Latitude
      • Longitude
      • intensity
      • US
      • California
      • San Diego
      • Pacific Ocean
      Use Constraints No constraint information available
      Fees Fee information not available.
      Source Datasets
      • Raw lidar data output from ALTM 1225
        • Description of Source: Source Contribution: Raw lidar data files. Raw lidar data from ALTM 1225 (all times UTC) 29703 Strip 1 (Newport Beach to Dana Point) = 22:13-22:20 Strip 2 (Dana Point to Oceanside) = 22:22-22:34 Strip 3 (Oceanside to Dana Point) = 22:35-22:47 Strip 4 (Dana Point to Oceanside) = 22:49-23:00 Strip 5 (Oceanside to Dana Point) = 23:02-23:14 Strip 6 (Dana Point to Newport Beach) = 23:16-23:25 Strip 7 (Newport Beach to Dana Point) = 23:26-23:33 Strip 8 (Dana Point to Newport Beach) = 23:35-23:46 Pass A=Strip 1 and 2, Pass B=Strip3, Pass C=Strip 4, Pass D=Strip 5 and 6, Pass E=Strip 7, and Pass F=Strip 8 29803 Strip 1 (Oceanside to Point Loma) = 21:28-21:52 Strip 2 (Point Loma to Mexico) = 21:54-22:02 Strip 3 (Mexico to Point Loma) = 22:08-22:17 Strip 4 (Point Loma to Point La Jolla) = 22:20-22:29 Strip 5 (La Jolla to Camp Pendleton) = 22:31-22:45 Pass A=Strip 1 and 2 and Pass B=Strip 3, 4, and 5 Source Type: digital file
        • Temporal extent used:  2003-10-24  to  2003-10-25
      • Air and Ground GPS files from 08703 and 08803
        • Description of Source: Source Contribution: GPS data. Air and ground GPS files base station coordinates (Easting, Northing, HAE) in NAD83: Seal Beach (SEAL) = 399190.342, 3733583.950, -27.228 Dana Point (DANA) = 434088.848, 3702981.811, 52.916 Point Loma (LOMA) = 477399.682, 3614791.197, 90.892 Source Type: digital file
        • Temporal extent used:  2003-10-24  to  2003-10-25
      Lineage Statement Lineage statement not available.
      • Bureau of Economic Geology, University of Texas at Austin
      • DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce
      Processing Steps
      • GPS and XYZ-Point Data Processing The National Geodetic Survey's PAGES-NT software was used to compute double differenced, ionospherically corrected, static GPS solutions for each GPS base station with precise ephemeredes from the International GPS Service (IGS). As part of the solution tropospheric zenith delays were estimated and L1 and L2 phase biases were fixed as integers. Aircraft trajectories were estimated with respect to all base stations using National Geodetic Survey's Kinematic and Rapid-Static Software (KARS) software. Trajectories were double-differenced, ionospherically corrected, bias-fixed GPS solutions computed with precise IGS ephemeredes. Coordinates for base stations and trajectories were in the International Terrestrial Reference Frame of 2000 (ITRF00). The aircraft trajectory were transformed from the ITRF00 to North American Datum of 1983 (NAD83) using the Horizontal Time Dependent Positioning (HDTP) software (Snay, 1999) The 1Hz GPS trajectory and 50Hz aircraft inertial measurement unit (IMU) data were combined in Applanix's POSProc version 2.1.4 to compute an aided inertial navigation solution (INS) and a 50Hz, smoothed best estimate of trajectory (SBET). The SBET, laser range observations, scanner position information, and GPS/internal clock files were processed in Realm 2.27 software suite to generate lidar data points in the Universal Transverse Mercator (UTM) projection. Lidar point data were compared to GPS ground survey data and 1998 ATM lidar data to estimate lidar instrument calibration parameters: roll and pitch biases, scanner scale factor, and first/last return elevation biases. An iterative, least-squares methodology was used to estimate calibration parameters so as to minimize differences between lidar and ground GPS data. Samples of lidar data were used to create high-resolution digital elevation models (DEM); these DEM were inspected for horizontal or vertical anomalies. After system calibration and initial quality control step, the adjusted lidar x,y,z-point data were generated by REALM software and output, by shoreline pass, in UTM Zone 11 with elevations being heights above the GRS-80 reference ellipsoid (HAE). The output format from REALM 2.27 was a 9-column ASCII file containing: the second in the GPS week, easting, northing and HAE of the first lidar return, the easting, northing and HAE of the last lidar return, and the laser backscatter intensity of the first and last returns. Using the GEOID99 geoid model, heights above the GRS80 ellipsoid were converted to orthometric heights with respect to the North American Vertical Datum of 1988 (NAVD88). Parse the 9-column lidar point file into 3.75-minute quarter-quadrangle components. Convert UTM Easting and Northing 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. The UTM quarter-quad files were re-organized into latitude delineated 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.
      • The NOAA Coastal Services Center (CSC) received files in ASCII format. The files contained LiDAR intensity and elevation measurements. CSC 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.
      • The NOAA National Geophysical Data Center (NGDC) received lidar data files via ftp transfer from the NOAA Coastal Services Center. The data are currently being served via NOAA CSC Digital Coast at The data can be used to re-populate the system. The data are archived in LAS or LAZ format. The LAS format is an industry standard for LiDAR data developed by the American Society of Photogrammetry and Remote Sensing (ASPRS); LAZ is a loseless compressed version of LAS developed by Martin Isenburg ( The data are exclusively in geographic coordinates (either NAD83 or ITRF94). The data are referenced vertically to the ellipsoid (either GRS80 or ITRF94), allowing for the ability to apply the most up to date geoid model when transforming to orthometric heights.

      Metadata Last Modified: 2013-05-07

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