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March 2009 Scripps Institute of Oceanography (SIO) Lidar of the Southern California Coastline: Long Beach to US/Mexico Border
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                voice:  (843) 740-1202
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                deliveryPoint:  2234 South Hobson Ave
                city:  Charleston
                administrativeArea:  SC
                postalCode:  29405-2413
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                electronicMailAddress:  coastal.info@noaa.gov
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      DateTime:  2021-07-28T00:00:00
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    identificationInfo:  (MD_DataIdentification)
        citation:  (CI_Citation)
            title:  March 2009 Scripps Institute of Oceanography (SIO) Lidar of the Southern California Coastline: Long Beach to US/Mexico Border
            alternateTitle:  scripps_200903_m572_metadata
            date:  (CI_Date)
                date:  2011-03
                dateType:  (CI_DateTypeCode) publication
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                    title:  NOAA/NMFS/EDM
                    date: (inapplicable)
                code:
                  Anchor:  InPort Catalog ID 50016
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                contactInfo:  (CI_Contact)
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                        linkage: https://www.fisheries.noaa.gov/inport/item/50016
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                        description:  View the complete metadata record on InPort for more information about this dataset.
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                        linkage: https://coast.noaa.gov
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                        linkage: https://coast.noaa.gov/dataviewer
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        abstract:  This lidar point data set was collected during low tide conditions along an approximately 500-700 meter wide strip of the Southern California coastline within an area extending south from Long Beach to the US/Mexico border. Data were collected in Los Angeles, Orange and San Diego counties from south of the Downtown Long Beach Marina in Long Beach, California to Leucadia on March 8, 2009 between 19:56 and 22:59 UTC. Data were collected in Orange and San Diego counties from south of Dana Point to north of La Jolla on March 9, 2009 between 21:27 and 23:48 UTC. Data were collected in San Diego County from south of Del Mar to south of the United States-Mexico border near Playas de Tijuana, Baja California, Mexico on March 10 between 21:32 and 22:32 UTC. Data set features include water, beach, cliffs, and top of cliffs. The all points data set contains the complete point cloud of first and last return elevation and laser intensity measurements recorded during the spring 2009 airborne lidar survey conducted semi-annually by the University of Texas at Austin for the Southern California Beach Processes Study. The data set was generated by the processing of laser range, scan angle, and aircraft attitude data collected using an Optech Inc. Airborne Laser Terrain Mapper (ALTM) 1225 system and geodetic quality Global Positioning System (GPS) airborne and ground-based receivers. Instrument settings and parameters during survey were: Nominal on-ground beam diameter: 25 cm Pulse rate: 25 kHz Maximum number of returns recorded: 2 Minimum separation between detected returns from a single pulse: 4.3 m Laser wavelength: 1064 nm Frequency of GPS sampling: 1 Hz Frequency of IMU sampling: 50 Hz; Scan angle: +/- 20 degrees Nominal height of instrument above ground: 1100 m Nominal single-swath pulse density: 2 m Nominal aggregate pulse density: 0.75 Nature of vertical control: Kinematic and static GPS points Original contact information: Contact Name: Roberto Gutierrez Contact Org: University of Texas at Austin Center for Space Research Title: Research Associate in Geodesy and Geophysics Phone: 512.471.5573 Email: oskar@mail.utexas.edu This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data.
        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.
        credit:  This dataset was generated for the Scripps Institution of Oceanography by the Center for Space Research, the University of Texas at Austin (CSR), with support provided by the Bureau of Economic Geology, the University of Texas at Austin (BEG), and the Government Flight Services of the Texas Department of Transportation. Acknowledgement of the data originators is requested when using the data set as a source. 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 Oct 23, 2021 at https://coast.noaa.gov/dataviewer.
        status:  (MD_ProgressCode) completed
        pointOfContact:  (CI_ResponsibleParty)
            organisationName:  NOAA Office for Coastal Management
            contactInfo:  (CI_Contact)
                phone:  (CI_Telephone)
                    voice:  (843) 740-1202
                address:  (CI_Address)
                    deliveryPoint:  2234 South Hobson Ave
                    city:  Charleston
                    administrativeArea:  SC
                    postalCode:  29405-2413
                    country: (missing)
                    electronicMailAddress:  coastal.info@noaa.gov
                onlineResource:  (CI_OnlineResource)
                    linkage: https://coast.noaa.gov
                    protocol:  WWW:LINK-1.0-http--link
                    name:  NOAA Office for Coastal Management Website
                    description:  NOAA Office for Coastal Management Home Page
                    function:  (CI_OnLineFunctionCode) information
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                    voice:  (843) 740-1202
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                    deliveryPoint:  2234 South Hobson Ave
                    city:  Charleston
                    administrativeArea:  SC
                    postalCode:  29405-2413
                    country: (missing)
                    electronicMailAddress:  coastal.info@noaa.gov
                onlineResource:  (CI_OnlineResource)
                    linkage: https://coast.noaa.gov
                    protocol:  WWW:LINK-1.0-http--link
                    name:  NOAA Office for Coastal Management Website
                    description:  NOAA Office for Coastal Management Home Page
                    function:  (CI_OnLineFunctionCode) information
            role:  (CI_RoleCode) custodian
        resourceMaintenance:  (MD_MaintenanceInformation)
            maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) asNeeded
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Bathymetry/Topography
            keyword:  Beaches
            keyword:  Coastal Elevation
            keyword:  Coastal Landforms/Processes
            keyword:  GPS
            keyword:  GPS Receivers
            keyword:  Landforms
            keyword:  Lidar
            keyword:  Shorelines
            keyword:  Terrain Elevation
            type:  (MD_KeywordTypeCode) theme
        descriptiveKeywords:  (MD_Keywords)
            keyword:  2009
            keyword:  March
            keyword:  low tide
            type:  (MD_KeywordTypeCode) temporal
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Aliso Beach
            keyword:  Arch Beach
            keyword:  Balboa Beach
            keyword:  Blacks Beach
            keyword:  Boomer Beach
            keyword:  California
            keyword:  Central Beach
            keyword:  Childrens Pool Beach
            keyword:  Coast Royale Beach
            keyword:  Coronado City Beach
            keyword:  Coronado Shores Beach
            keyword:  Dog Beach
            keyword:  Harbor Beach
            keyword:  Huntington City Beach
            keyword:  La Jolla Shores Beach
            keyword:  Little Corona Del Mar Beach
            keyword:  Los Angeles County
            keyword:  Main Beach
            keyword:  Marine Street Beach
            keyword:  Newport Beach
            keyword:  North Beach
            keyword:  Ocean Beach City Beach
            keyword:  Oceanside City Beach
            keyword:  Orange County
            keyword:  Poche Beach
            keyword:  Saint Malo Beach
            keyword:  San Clemente City Beach
            keyword:  San Diego County
            keyword:  San Onofre Beach
            keyword:  South Carlsbad State Beach
            keyword:  South Oceanside Beach
            keyword:  Surfside Beach
            keyword:  Torrey Pines City Beach
            keyword:  Torrey Pines State Beach
            keyword:  Trestles Beach
            keyword:  United States
            keyword:  Victoria Beach
            keyword:  Windansea Beach
            keyword:  Wipeout Beach
            type:  (MD_KeywordTypeCode) place
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Lidar - partner (no harvest)
            type:  (MD_KeywordTypeCode) project
            thesaurusName:  (CI_Citation)
                title:  InPort
                date: (inapplicable)
        resourceConstraints:  (MD_LegalConstraints)
            useConstraints:  (MD_RestrictionCode) otherRestrictions
            otherConstraints:  Cite As: OCM Partners, [Date of Access]: March 2009 Scripps Institute of Oceanography (SIO) Lidar of the Southern California Coastline: Long Beach to US/Mexico Border [Data Date Range], https://www.fisheries.noaa.gov/inport/item/50016.
        resourceConstraints:  (MD_Constraints)
            useLimitation:  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.
        resourceConstraints:  (MD_LegalConstraints)
            accessConstraints:  (MD_RestrictionCode) otherRestrictions
            useConstraints:  (MD_RestrictionCode) otherRestrictions
            otherConstraints:  Access Constraints: None | Use Constraints: These data were collected to support the Southern California Beach Processes Study. Any conclusions drawn from analysis of this information are not the responsibility of the Scripps Institution of Oceanography, the UT Center for Space Research, the Bureau of Economic Geology, or the University of Texas at Austin. Interested parties are advised to review metadata contents prior to use. These data are best used at scales appropriate for raster or gridded data collected at a nominal resolution of 1-2 meters (approximately 1:12000). 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 base critical applications on this data set without full awareness of potential limitations. | Distribution Liability: Any conclusions drawn from analysis of this information are not the responsibility of the Scripps Institution of Oceanography, the UT Center for Space Research, the Bureau of Economic Geology, The University of Texas at Austin or the NOAA Office for Coastal Management or its partners.
        resourceConstraints:  (MD_SecurityConstraints)
            classification:  (MD_ClassificationCode) unclassified
            classificationSystem: (missing)
            handlingDescription: (missing)
        aggregationInfo:  (MD_AggregateInformation)
            aggregateDataSetName:  (CI_Citation)
                title:  NOAA Data Management Plan (DMP)
                date: (unknown)
                identifier:  (MD_Identifier)
                    authority:  (CI_Citation)
                        title:  NOAA/NMFS/EDM
                        date: (inapplicable)
                    code:  50016
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                    organisationName: (inapplicable)
                    contactInfo:  (CI_Contact)
                        onlineResource:  (CI_OnlineResource)
                            linkage: https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/50016.pdf
                            protocol:  WWW:LINK-1.0-http--link
                            name:  NOAA Data Management Plan (DMP)
                            description:  NOAA Data Management Plan for this record on InPort.
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                    role: (inapplicable)
            associationType:  (DS_AssociationTypeCode) crossReference
        spatialRepresentationType:  (MD_SpatialRepresentationTypeCode) vector
        language:  eng; US
        topicCategory:  (MD_TopicCategoryCode) elevation
        extent:  (EX_Extent)
            geographicElement:  (EX_GeographicBoundingBox)
                westBoundLongitude:  -118.00024
                eastBoundLongitude:  -117.119071
                southBoundLatitude:  32.508919
                northBoundLatitude:  33.659194
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimePeriod:
                    description:   | Currentness: Ground Condition
                    beginPosition:  2009-03-08
                    endPosition:  2009-03-10
        supplementalInformation:  The University of Texas at Austin Center for Space Research operated an Optech Inc. Airborne Laser Terrain Mapper (ALTM) 1225 system installed in a single engine Cessna 206 to collect lidar data for the survey. Global Positioning System (GPS) data were collected simultaneously with three geodetic quality Ashtech Z-12 receivers installed in the aircraft and at two temporary base stations operated during the survey. An Inertial Measurement Unit (IMU) used three orthogonal accelerometers and gyroscopes to collect in-flight instrument orientation information. The Cessna 206 aircraft used in the survey is owned and operated by the Texas Department of Transportation. 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 records the range and backscatter intensity of the first and last laser reflection using an Avalanche Photo diode 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. A footprint of this data set may be viewed in Google Earth at: https://coast.noaa.gov/htdata/lidar1_z/geoid18/data/572/supplemental/Scripps_March_2009_Lidar_Long_Beach_to_Mexico_Border.kmz
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    distributionInfo:  (MD_Distribution)
        distributor:  (MD_Distributor)
            distributorContact:  (CI_ResponsibleParty)
                organisationName:  NOAA Office for Coastal Management
                contactInfo:  (CI_Contact)
                    phone:  (CI_Telephone)
                        voice:  (843) 740-1202
                    address:  (CI_Address)
                        deliveryPoint:  2234 South Hobson Ave
                        city:  Charleston
                        administrativeArea:  SC
                        postalCode:  29405-2413
                        country: (missing)
                        electronicMailAddress:  coastal.info@noaa.gov
                    onlineResource:  (CI_OnlineResource)
                        linkage: https://coast.noaa.gov
                        protocol:  WWW:LINK-1.0-http--link
                        name:  NOAA Office for Coastal Management Website
                        description:  NOAA Office for Coastal Management Home Page
                        function:  (CI_OnLineFunctionCode) information
                role:  (CI_RoleCode) distributor
        transferOptions:  (MD_DigitalTransferOptions)
            onLine:  (CI_OnlineResource)
                linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=572
                protocol:  WWW:LINK-1.0-http--link
                name:  Customized Download
                description:  Create custom data files by choosing data area, product type, map projection, file format, datum, etc.
                function:  (CI_OnLineFunctionCode) download
        transferOptions:  (MD_DigitalTransferOptions)
            onLine:  (CI_OnlineResource)
                linkage: https://coast.noaa.gov/htdata/lidar1_z/geoid18/data/572
                protocol:  WWW:LINK-1.0-http--link
                name:  Bulk Download
                description:  Simple download of data files.
                function:  (CI_OnLineFunctionCode) download
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    dataQualityInfo:  (DQ_DataQuality)
        scope:  (DQ_Scope)
            level:  (MD_ScopeCode) dataset
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Horizontal Positional Accuracy
            evaluationMethodDescription:  Maximum allowable PDOP using a 15 degree elevation mask during data collection was 3.5. The lidar data is estimated to have a horizontal error of less than or equal to 1.0 m. To assess horizontal accuracy, selected portions from each lidar data set (last return only) were used to generate a 1m x 1m digital elevation model (DEM). Data from ground surveys conducted using kinematic GPS techniques and estimated to have a horizontal accuracy of 0.01-0.03 m 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.
            result: (missing)
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy
            evaluationMethodDescription:  (North) The March 8, 2009, lidar data were compared to kinematic GPS ground survey points collected along an approximately 2 kilometer long stretch of the East Pacific Coast Highway near Laguna Beach. The March 8, 2009, lidar data set was sorted to find data points that fell within 1 m of the GPS points. (South) The March 9 and 10, 2009, lidar data were compared to 17 GPS ground survey points collected throughout a parking lot adjacent to the North Torrey Pines Road. The March 9 and 10, 2009, lidar data sets were sorted to find data points that fell within 2 m of the GPS points. For each survey area (north and south), the mean elevation difference between the selected lidar points and their respective GPS points was used to estimate and remove elevation bias from the lidar. The standard deviation of the elevation differences provided estimates of the lidar precision. The bias was removed so that mean lidar elevations have a vertical accuracy of 0.10 m RMSE.
            result: (missing)
        report:  (DQ_CompletenessCommission)
            nameOfMeasure:  Completeness Report
            evaluationMethodDescription:  This data set contains data within a narrow strip (~700 m) of the Southern California coastline. A decimated dataset was visually inspected for completeness. Some beach edges may be missing. Data collected west of the northwestern corner of the Downtown Long Beach Marina (Longitude 118d11m0.63s W) and south of the US-Mexico border at Playas de Tijuana (Latitude 32d32m1.80s N) may be of poor quality and should not be used for analysis. Discretion should be used with data collected during pass 06709B and during the end of pass 06709A as position accuracies are near thresholds set for acceptable RMS.
            result: (missing)
        report:  (DQ_ConceptualConsistency)
            nameOfMeasure:  Conceptual Consistency
            evaluationMethodDescription:  Data points lacking either first or last return values were removed from the data set. An automated method was used to remove obvious outliers. Only data points with vertical values greater than or equal to -20 m and less than or equal to 250 m were retained in the all points data set.
            result: (missing)
        lineage:  (LI_Lineage)
            statement: (missing)
            processStep:  (LI_ProcessStep)
                description:  ALTM range files were downloaded from the Optech ALTM 1225 system and decoded using Optech's REALM 3.0 tape decode program.
            processStep:  (LI_ProcessStep)
                description:  Raw GPS data were downloaded from three Ashtech Z-12 GPS receivers. One receiver collected in-flight aircraft data; the other two collected data during flight time at separate base stations. The GPS data were converted into RINEX2 format with pseudorange smoothing applied. 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 ephemerides from the International GPS Service (IGS) with respect to selected CORS sites. 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 ephemerides. Coordinates for base stations and trajectories were in the International Terrestrial Reference Frame of 2000 (ITRF00). Aircraft trajectories were transformed from the ITRF00 to North American Datum of 1983 (NAD83) using the Horizontal Time Dependent Positioning (HDTP) software (Snay, 1999).
            processStep:  (LI_ProcessStep)
                description:  The 1 Hz GPS trajectory and 50Hz aircraft inertial measurement unit (IMU) data were combined in Applanix's POSProc version 4.2 to compute an aided inertial navigation solution (INS) and a 50 Hz, smoothed best estimate of trajectory (SBET). The POSPac software employs a Kalman filter to obtain a blended navigation solution. Afterwards, smoothing was applied to the solution to obtain the SBET for the aircraft.
            processStep:  (LI_ProcessStep)
                description:  The SBET, laser range observations, scanner position information, and GPS/internal clock files were processed in the Realm 2.27 software suite to generate uncalibrated lidar data points in the Universal Transverse Mercator (UTM) projection. Lidar point data were compared to 1998 ATM LIDAR data over several cross-track piers and roads 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 DEMs were inspected for horizontal or vertical anomalies. Data collected on March 8, 2009, were compared to kinematic GPS points collected along the E. Pacific Coast Hwy near Laguna Beach. Data collected on March 9 and 10, 2009, were compared to kinematic GPS points collected in a parking lot near North Torrey Pines Road. After system calibration and initial quality control step, the adjusted lidar x,y,z-point data were generated by REALM software and output using the UTM Zone 11 coordinate system with elevations being heights above the GRS-80 reference ellipsoid (HAE). The output format from REALM 2.27 is a headerless space-delimited 9-column ASCII file that contains: Column 1 = the point time tag in seconds in the GPS week; Columns 2-4 = the UTM Zone 11 North easting, UTM Zone 11 North northing and height above ellipsoid (HAE) of the first lidar return; Columns 5-7 = the UTM Zone 11 North easting, UTM Zone 11 North northing and HAE of the last lidar return; and Columns 8 & 9 = the laser backscatter intensity of the first and last returns.
            processStep:  (LI_ProcessStep)
                description:  Heights above the GRS80 ellipsoid (HAE) were converted to orthometric heights with respect to the North American Vertical Datum of 1988 (NAVD88), using the GEOID99 model. GPS time tags were used to separate the data collected on a single day into distinct passes. The resulting pass data sets were then parsed into 3.75-minute USGS quarter-quadrangle components containing the complete point cloud. Each output file includes data points found within a 20 meter buffer area surrounding each quarter quadrangle. Outlier data points that exceeded designated elevation thresholds (< -20 m or > 250 m) were eliminated during the parsing process.
            processStep:  (LI_ProcessStep)
                description:  The NOAA Office for Coastal Management (OCM) received the lidar files in ASCII format. The files contained lidar intensity and elevation measurements. OCM performed the following processing for data storage and Digital Coast provisioning purposes: 1. Data converted from UTM coordinates to geographic coordinates. 2. Data converted from NAVD88 heights to ellipsoid heights using GEOID99. 3. Data converted from dual return xyz format to xyz text format with return numbers to las format. 4. The LAS data were sorted by latitude and the headers were updated.
                dateTime:
                  DateTime:  2011-03-01T00:00:00
            source:  (LI_Source)
                description:  Source Contribution: Range files are the source data collected by the ALTM 1225 sensor. ALTM 1225 range files used for this survey are grouped by date, day of year, pass, pass location, and time of collection (all times UTC): Spring 2009 March 8, 2009 (Day of Year = 67), HH:MM in UTC =================================================== 06709 Pass A (Leucadia to Long Beach) 19:56-20:41 06709 Pass B (Long Beach to Dana Point) 20:44-21:04 06709 Pass C (Dana Point to Long Beach) 21:07-21:39 06709 Pass D (Long Beach to Oceanside) 21:42-22:21 06709 Pass E (Oceanside to Dana Point) 22:25-22:39 06709 Pass F (Dana Point to Oceanside) 22:42-22:59 March 9, 2009 (Day of Year = 68), HH:MM in UTC =================================================== 06809 Pass A (Carlsbad to Dana Point) 21:27-21:46 06809 Pass B (Dana Point to La Jolla Bay) 21:49-22:19 06809 Pass C (La Jolla to Dana Point) 22:29-22:58 06809 Pass D (Dana Point to La Jolla Bay) 23:00-23:29 06809 Pass E (La Jolla to Oceanside) 23:32-23:48 March 10, 2009 (Day of Year = 69), HH:MM in UTC =================================================== 06909 Pass A (Coronado (Glorietta Bay Park) to Playas de Tijuana) 21:32-21:37 06909 Pass B (Playas de Tijuana to Coronado (North Island NAS)) 21:41-21:49 06909 Pass C (Coronado (North Island NAS) to Playas de Tijuana) 21:54-22:04 06909 Pass D (Point Loma to Del Mar (south city limit)) 22:11-22:32 | Source Geospatial Form: tabular digital data | Type of Source Media: digital files
                sourceCitation:  (CI_Citation)
                    title:  ALTM 1225 range files
                    date: (missing)
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimePeriod:
                            beginPosition:  2009-03-08
                            endPosition:  2009-03-10
            source:  (LI_Source)
                description:  Source Contribution: Two Ashtech Z-12 GPS receivers placed at precisely located base stations collected GPS data at 1 second intervals throughout the period of airborne lidar data collection. Data collection commenced prior to take off and ceased subsequent to touch down. A third Ashtech Z-12 GPS receiver collected in-flight GPS data at 1 second intervals. Data were downloaded and stored each day after flight completion. File names included standardized references to location and date. These data were used for ALTM range file processing. See process steps for more detailed information. GPS base station locations by survey day: March 8 (day 067), 2009: SANO, SEAL March 9 (day 068), 2009: SANO, LOMA March 10 (day 069), 2009: PIER, LOMA GPS base station attributes: ID: SANO Name: HPGN-CA SDGPS01, 1990; Description: San Diego County Engineer Department GPS control point at San Onofre NAD83 Coordinates and HAE: 33d 22m 31.08420s N, 117d 33m 54.54673s W, -5.17 ID: SEAL Name: HPGN CA 12 01; Description: California High Precision GPS Network 12 01 (PID:DY9309) NAD83 Coordinates and HAE: 33d 44m 15.03481s N, 118d 05m 17.76708s W, -27.228 ID: LOMA Name: LOMA EAST; Description: NGS Control Point at Loma Point, LOMA EAST, 1994 (PID: AC6092) NAD83 Coordinates and HAE: 32d 40m 13.99579s N, 117d 14m 27.74509s W, 90.892 ID: PIER Name: 230 S, 2000; Description: Tidal benchmark on Scripps Pier, no published PID NAD83 Coordinates and HAE: 32d 51m 59.68409s N, 117d 15m 19.92726s W, -25.426 | Type of Source Media: digital files
                sourceCitation:  (CI_Citation)
                    title:  Air and Ground GPS L1, L2, pseudorange and phase files from March 8, 9 & 10, 2009 (Days of Year 67, 68 & 69)
                    date: (missing)
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimePeriod:
                            beginPosition:  2009-03-08
                            endPosition:  2009-03-10
            source:  (LI_Source)
                description:  Source Contribution: GPS base stations solutions were estimated with respect to the GPS Continuously Operating Reference Station (CORS) at Pinyon Flats, CA. DESIGNATION: PINON 1 PGGA CORS ARP CORS_ID: PIN1 NGS PID: AF9708 | Type of Source Media: online
                sourceCitation:  (CI_Citation)
                    title:  GPS Continuously Operating Reference Station (CORS) at Pinyon Flats, CA
                    date: (missing)
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimePeriod:
                            beginPosition:  2009-03-08
                            endPosition:  2009-03-10
            processStep:  (LI_ProcessStep)
                description:   The vertical values in this data set have been converted to reference North American Vertical Datum of 1988 (NAVD88) (GEOID18) meters, using the GEOID18 grids provided by the National Geodetic Survey. Any datum and projection transformations were then done with the Office for Coastal Management 'datum_shift' program. Compression to an LAZ file was done with the LAStools 'laszip' program and can be unzipped with the same free program (laszip.org) Processing notes:
                dateTime:
                  DateTime:  2021-10-23T05:18:20
                processor:  (CI_ResponsibleParty)
                    individualName:  NOAA Office for Coastal Management
                    contactInfo:  (CI_Contact)
                        address:  (CI_Address)
                            electronicMailAddress:  coastal.info@noaa.gov
                    role:  (CI_RoleCode) processor