50004
March 2003 Lidar Point Data of Southern California Coastline: Dana Point to Point La Jolla
scripps_20030328_m48_metadata
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2003-12-22
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 Point 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 N6602L) owned and operated by Aspen Helicopter, Inc. The lidar data set described by this document was collected
on 28-29 March 2003; Julian Days 08703 and 08803 (see Lineage, Source_Information, Source_Contribution for pass information).
Conditions on both days were clear skies, no fog or low clouds. 99d118 instrument settings for these flights were; laser pulse
rate: 25kHz, scanner rate: 26Hz, scan angle: +/- 15-20deg, beam divergence: narrow, altitude: 900-1160m AGL, and ground speed:
90-132kts. Two GPS base stations (Scripps pier and Dana Point, 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.
Original contact information:
Contact Name: Julie Thomas/Randy Bucciarelli
Contact Org: SCBPS/CDIP, Scripps Institution of Oceanography
Title: Project Managers
Phone: 858-534-3032
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.
10648
quarter quad names: Del Mar, Dana Point, Encinitas, La Jolla, Las Pulgas Canyon, Oceanside, San Clemente, San Luis Rey,
San Onofre Bluff
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.
Theme
ISO 19115 Topic Category
elevation
Theme
Latitude
Theme
Longitude
Theme
beach
Theme
intensity
Theme
point file
Theme
shoreline
Temporal
2003
Temporal
March
Office for Coastal Management
Charleston
SC
Data Set
None planned, as needed
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.
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.
Data Steward
2003-12-22
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2003-12-22
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Metadata Contact
2003-12-22
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Point of Contact
2003-12-22
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Ground Condition
-117.717394
-117.249694
33.469723
32.837523
Range
2003-03-28
2003-03-29
Yes
Yes
62872881
Unclassified
This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer
;
none
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.
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=48
Customized Download
Create custom data files by choosing data area, product type, map projection, file format, datum, etc.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/48/index.html
Bulk Download
Simple download of data files.
https://coast.noaa.gov
Online Resource
https://coast.noaa.gov/dataviewer
Online Resource
2016-05-23
Date that the source FGDC record was last modified.
2017-11-14
Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.
2018-02-08
Partial upload of Positional Accuracy fields only.
2018-03-13
Partial upload to move data access links to Distribution Info.
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.
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 and the Scripps Pier were 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 March 2003 lidar data set was determined to have an elevation bias of 0.034 m
on 08703 and 0.002 m on 08803 when compared to ground truth. The bias was removed so that mean lidar elevations have an
RMSE of 0.0895 m and a vertical accuracy (1.96*RMSE) of 0.176 m.
Data were edited by an automated method to remove obvious outliers above a threshold of 150m.
Not Applicable
Air and Ground GPS files from 08703 and 08803
2003-03-29
Range
2003-03-28
2003-03-29
air and ground GPS files
base station coordinates (Easting, Northing, HAE) in NAD83:
Scripps Pier (PIER) = 476093.032, 3636524.941, -25.424
Dana Point (DANA) = 434087.645, 3702982.251, 52.174
| Type of Source Media: digital file
Raw lidar data output from ALTM 1225
2003-03-29
Range
2003-03-28
2003-03-29
raw lidar data from ALTM 1225
08703
4 calibration passes between 22:22-22:34 UTC
Offshore Pass = 22:42-23:28 UTC
Buoy passes = 23:46-00:14 UTC
08803
Pass 1 (Carlsbad to Dana Point) = 20:58-21:15 UTC
Pass 2 (Dana Point to Point La Jolla) = 21:17-21:47 UTC
4 calibration passes between 21:52-22:08 UTC
Pass 3 (Point La Jolla to Dana Point) = 22:16-22:46 UTC
Pass 4 (Dana Point to Point La Jolla) =22:58-23:12 UTC
| Type of Source Media: digital file
1
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 20030328-20031222.
2003-03-28T00:00:00
2
Created initial metadata
2003-04-18T00:00:00
3
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
gov.noaa.nmfs.inport:50004
Anne Ball
2017-11-15T15:23:41
SysAdmin InPortAdmin
2022-08-09T17:11:37
2022-03-16
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16