gov.noaa.nmfs.inport:50012
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NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
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2024-02-29T00:00:00
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
ISO 19115-2:2009(E)
March 2007 Scripps Institute of Oceanography (SIO) Lidar of the Southern California Coastline: Long Beach to the US/Mexico Border
scripps_200703_m568_metadata
2011-03
publication
NOAA/NMFS/EDM
50012
https://www.fisheries.noaa.gov/inport/item/50012
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View the complete metadata record on InPort for more information about this dataset.
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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 north of Oceanside on
March 28, 2007 between 18:54 and 22:01 UTC. Data were collected in Orange and San Diego counties from south of Dana Point to south of
the United States-Mexico border near Playas de Tijuana, Baja California, Mexico on March 29, 2007 between 19:08 and 22:00 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 2007 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: The 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
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.
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.
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
asNeeded
Beaches
Coastal Landforms/Processes
GPS
GPS Receivers
Landforms
Shorelines
theme
2007
March
low tide
temporal
Lidar - partner (no harvest)
project
InPort
otherRestrictions
Cite As: OCM Partners, [Date of Access]: March 2007 Scripps Institute of Oceanography (SIO) Lidar of the Southern California Coastline: Long Beach to the US/Mexico Border [Data Date Range], https://www.fisheries.noaa.gov/inport/item/50012.
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
Access Constraints: None
otherRestrictions
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, The University of Texas at Austin or the NOAA Office for Coastal Management or its partners. 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.
otherRestrictions
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.
unclassified
NOAA Data Management Plan (DMP)
NOAA/NMFS/EDM
50012
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/50012.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
-118.000243
-117.115988
32.516415
33.65945
| Currentness: Ground Condition
2007-03-28
2007-03-29
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
20 deg 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://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/568/supplemental/Scripps_March_2007_Lidar_Long_Beach_to_Mexico_Border.kmz
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=568
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/geoid18/568/index.html
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Bulk Download
Simple download of data files.
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dataset
Horizontal Positional Accuracy
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.
Vertical Positional Accuracy
(North) The March 28, 2007, 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 28, 2007, lidar data set was sorted to
find data points that fell within 1 m of the GPS points.
(South) The March 29, 2007, lidar data were compared to 17 GPS ground survey points collected throughout a parking lot adjacent
to the North Torrey Pines Road. The March 29, 2007, lidar data set was 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.
Completeness Report
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.
Conceptual Consistency
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.
ALTM range files were downloaded from the Optech ALTM 1225 system and decoded using Optech's REALM 3.0 tape decode program.
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).
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 50Hz, 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.
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 28, 2007, were compared to kinematic GPS points collected along the E. Pacific Coast
Hwy near Laguna Beach. Data collected on March 29, 2007, 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.
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.
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.
2011-03-01T00:00:00
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 2007
March 28, 2007 (Day of Year = 87), HH:MM in UTC
===================================================
08707 Pass A (Carlsbad State Beach to Long Beach) = 19:01-19:39
08707 Pass B (Long Beach to Oceanside) = 19:44-20:17
08707 Pass C (Oceanside to Long Beach) = 20:21-21:01
08707 Pass D (Long Beach to Oceanside) = 21:05-22:01
March 29, 2007 (Day of Year = 88), HH:MM in UTC
===================================================
08807 Pass A (Oceanside Harbor to La Jolla) = 19:15-19:29
08807 Pass B (La Jolla to Oceanside Harbor) = 19:35-19:50
08807 Pass C (Oceanside Harbor to Point Loma) = 19:53-20:15
08807 Pass D (Coronado (North Island NAS) to Playas de Tijuana) = 20:20-20:28
08807 Pass E (Coronado (North Island NAS) to Playas de Tijuana) = 20:31-20:40
08807 Pass F (Coronado (North Island NAS) to Playas de Tijuana) = 20:45-20:53
08807 Pass G (Point Loma to Del Mar (south city limit)) = 20:58-21:10
08807 Pass H (Del Mar to Dana Point) = 21:12-21:44
08807 Pass I (Dana Point to Oceanside Harbor) = 21:47-22:00
| Source Geospatial Form: tabular digital data | Type of Source Media: digital files
ALTM 1225 range files
2007-03-28
2007-03-29
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 28 (day 087), 2007: SANO, SEAL
March 29 (day 088), 2007: SANO, 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
| Type of Source Media: digital files
Air and Ground GPS L1, L2, pseudorange and phase files from March 28 & 29, 2007 (Days of Year 87 & 88)
2007-03-28
2007-03-29
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
GPS Continuously Operating Reference Station (CORS) at Pinyon Flats, CA
2007-03-28
2007-03-29