48146
2012 NOAA American Samoa Lidar: Islands of Tutuila, Aunu'u, Ofu, Olosega, Ta'u and Rose Atoll
am_samoa2012_m2490_metadata
Data Set
Published / External
37231
Lidar
Project
Completed
2013-06
Light Detection and Ranging (LiDAR) data is remotely sensed high-resolution elevation data collected by an airborne collection
platform. This LiDAR dataset is a survey of American Samoa including the islands of Tutuila, Aunu'u, Ofu, Olosega, Ta'u and Rose Atoll.
The project area consists of approximately 75 square miles. The project design of the LiDAR data acquisition was developed
to support a nominal post spacing of 1.0 meter or better (1.0 meter GSD). GMR Aerial Surveys Inc. d/b/a Photo Science, Inc.
acquired 108 flight lines in 7 lifts between June 2012 and July 2012. This collection was for NOAA Office for Coastal Management (OCM).
The data collection was performed with a Beechcraft King Air 90 twin engine aircraft (tail number N87E) utilizing an Optech Gemini
sensor; collecting multiple return x, y, and z as well as intensity data. The data were provided to OCM, classified as:
Unclassified (1), Ground (2), Low Point (Noise) (7), Water (9), Breakline Edge (10), Overlap Unclassified (17) and Overlap Ground (18).
The classifications available for download from the Digital Coast are:
Unclassified (1), Ground (2), Low Point (Noise) 7, Water (9), Removed Ground (breakline edge) (10), and Overlap (12).
The collection conditions were cloud and fog-free between the aircraft and the ground; streams must be within their banks; and
low tide acquisition if at all possible.
Data voids within a single swath were avoided whenever possible. Acceptable void areas are caused by a water body;
areas of low near infrared (NIR) reflectivity such as asphalt or composition roofing and where appropriately filled in by another swath.
Unfortunately, during the LiDAR acquisition there were a few mountain peaks where the clouds never lifted high enough to collect LiDAR.
In order to post process the LiDAR data to meet task order specifications, Photo Science, Inc. established control points that
were used to calibrate the LiDAR to known ground locations established on Tutuila. Please see the survey report for more details on
ground control point collection at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12a/2490/supplemental/PhotoScience-AmSam_PostFlightAcquisitionReport_FINAL.pdf
The dataset was developed based on a horizontal projection/datum of UTM NAD83 (PACP00), UTM Zone 2, meters. The vertical datum
used during the collection, varied by island. NAVD88 (ASVD02), meters was used for the island of Tutuila (and Aunu'u). NAVD1988
(GEOID09), meters was used for the islands of Ofu, Olosega and Tau. Rose atoll was adjusted from Ellipsoid heights to a mean
low water (MLW) datum. Upon receipt of the data, the NOAA Office for Coastal Management converted the lidar data to geographic
coordinates and ellipsoid heights using GEOID09. Rose Atoll data were converted to geographic coordinates and to ellipsoid heights
using the MLW correction value of 22.8 m. Conversion is for data storage and Digital Coast provisioning purposes. LiDAR data was
collected in RAW flightline swath format and processed to create Classified LAS 1.2 files.
The project was developed by the National Oceanic and Atmospheric Administration's (NOAA) Office for Coastal Management in
Charleston, SC to collect and deliver topographic elevation point data derived from multiple return light detection
and ranging (LiDAR) measurements for American Samoa including islands of Tutila, Aunu'u, Ofu, Olosega, Ta'u and Rose Atoll.
Data are intended for use in coastal management decision making.
Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images,
Breaklines and Raster DEM.
10169
There were seven lifts flown out of Pago Pago International Airport for Tutuila and Aunuu and Fitiuta Airport for Ofu, Olosega,
Tau and Rose Atoll collection.
Base stations were set up at the airports and sensor Serial Number 246 was used for all flights:
June 25, 2012 A
June 25, 2012 B
June 25, 2012 C
June 27, 2012
July 5, 2012 A
July 5, 2012 B
July 5, 2012 C
The Post Flight Aerial Acquisition and Calibration Report may be accessed at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12a/2490/supplemental/PhotoScience-AmSam_PostFlightAcquisitionReport_FINAL.pdf
A footprint of this data set may be viewed in Google Earth at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12a/2490/supplemental/2012_NOAA_American_Samoa_Lidar.kmz
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > SEAFLOOR TOPOGRAPHY
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
Theme
ISO 19115 Topic Category
elevation
Spatial
Global Change Master Directory (GCMD) Location Keywords
OCEAN > PACIFIC OCEAN > CENTRAL PACIFIC OCEAN > AMERICAN SAMOA
Office for Coastal Management
Charleston
SC
Data Set
Unknown
Any conclusions drawn from the analysis of this information are not the responsibility of the Office for Coastal Management or its partners.
Data Steward
2013-06
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
2013-06
Organization
Office for Coastal Management
OCM
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
Metadata Contact
2013-06
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
2013-06
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
-170.851652
-168.132827
-14.152104
-14.564143
Discrete
2012-06-25
Discrete
2012-06-27
Discrete
2012-07-05
Yes
Unclassified
This data can be obtained on-line at the following URL:
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=2490
This data set is dynamically generated based on user-specified parameters.
;
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.
2019-07-01
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=2490
2013-06
Organization
Office for Coastal Management
Customized Download
Create custom data files by choosing data area, product type, map projection, file format, datum, etc.
Zip
Zip
2019-07-01
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12a/2490/index.html
2013-06
Organization
Office for Coastal Management
Bulk Download
Simple download of data files.
LAZ
LAS/LAZ - LASer
Zip
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12a/2490/supplemental/2012_NOAA_American_Samoa_Lidar.kmz
Browse Graphic
Browse Graphic
kmz
This graphic shows the lidar coverage for the American Samoa lidar.
https://coast.noaa.gov/dataviewer
Data Access Viewer
Online Resource
tool for customized download of data
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.
MicroStation Version 8; TerraScan Version 12; TerraModeler Version 12; GeoCue Version 2012;
ESRI ArcGIS 10.1; Global Mapper 14.1; Optech DashMAP 5.2000
The project area required LiDAR to be collected on 1.0 meter GSD or better and processed to meet a bare earth vertical accuracy
of 15.0 centimeters RMSEz or better.
Collected to meet four feet RMSE or better.
The reported RMSEz value was determined using the calibration control points, and not the Blind Control. The calibration control
points are the same points that were used to remove any bias in the dataset before bare earth editing.
The islands control were measured with Ofu and Olosega; Tau; and Tutuila and Aunuu. The RMSE for each island:
Ofu and Olosega RMSE 0.074 m.
Tau RMSE 0.072 m.
Tutuila and Aunuu RMSE 0.067 m.
The listed RMSEz value shown below was calculated from the ground (ASPRS Class 2) data in the final Classified LAS files
and is an average of the above RMSE values.
; Quantitative Value: 0.071 meters, Test that produced the value: RMSE in meters, as calculated from Classified LAS files
Datasets contain complete coverage of project area and tiles.
Raw Flightlines, Classified LAS files, Breaklines, and Raster DEMs were tested by Photo Science for vertical accuracy.
Although collected on a tile-by-tile basis, breaklines are merged together to produce a single deliverable dataset. Checks are done to
ensure that the data is seamless from one tile to the next before being combined and that breaklines meeting the project requirements
have been collected across the entire project area.
Combining the breaklines with LiDAR data to create other deliverables is another check of the data. All data are seamless from one
tile to the next, no gaps or no data areas whenever possible. Unfortunately, during the LiDAR acquisition there were a few mountain
peaks where the clouds never lifted high enough to collect LiDAR.
Lidar data
Organization
Photo Science Inc
Originator
1
Control Process:
Photo Science, Inc. established control points on Tutuila that were used to calibrate the LiDAR to known ground locations
to be used in the post processing of the LiDAR data. The points were located on relatively flat terrain on surfaces that
generally consisted of grass, gravel, pavement or bare earth and were in well-defined discrete locations.
See The Post Flight Aerial Acquisition and Calibration Report for additional collection parameters and methodologies:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12a/2490/supplemental/PhotoScience-AmSam_PostFlightAcquisitionReport_FINAL.pdf
Raw Flight Line Process:
Applanix software was used in the post processing of the airborne GPS and inertial data that is critical to the positioning
and orientation of the sensor during all flights. POSPac MMS provides the smoothed best estimate of trajectory (SBET) that is
necessary for Optech's post processor to develop the point cloud from the LiDAR missions. The point cloud is the mathematical three
dimensional collection of all returns from all laser pulses as determined from the aerial mission. At this point this data is ready
for analysis, classification, and filtering to generate a bare earth surface model in which the above ground features are
removed from the data set. The point cloud was manipulated within the Optech software; GeoCue, TerraScan, and TerraModeler
software was used for the automated data classification, manual cleanup, and bare earth generation from this data. Project specific
macros were used to classify the ground and to remove the side overlap between parallel flight lines.
All data were manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler.
Classified LAS Process:
All ground (ASPRS Class 2) LiDAR data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then
classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 1 meter was also used around each hydro
flattened feature to classify these ground (ASPRS Class 2) points to ignored ground (ASPRS Class 10). All Lake Pond Island
and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) were reclassified to the correct
classification after the automated classification was completed. A description of each deliverable class can be found below:
Class 1 - Unclassified points; includes non-ground points such as buildings and vegetation.
Class 2 - Ground points
Class 7 - Noise points; includes all high and low noise points that do not represent legitimate features.
Class 9 - Water points
Class 10 - Ignored Ground points; includes all ground points that fall within a 1 meter buffer around any hydro breakline feature.
Classifying these points aids in the hydro flattened DEM creation.
Class 17 - Overlap Unclassified points; Overlap points that represent non-ground features.
Class 18 - Overlap Ground points; Overlap points that represent the ground surface. These points were classified
based on their x,y and z proximity to the Class 2 ground points. No manual cleanup was performed on these points.
All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight
line data to class.
Data was then run through additional macros to ensure deliverable classification levels matching the ASPRS LAS Version 1.2
Classification structure. GeoCue functionality was then used to ensure correct LAS Versioning. In-house software was used
as a final QA/QC check to provide LAS Analysis of the delivered tiles. QA/QC checks were performed on a per tile
level to verify final classification metrics and full LAS header information.
2012-01-01T00:00:00
2
The NOAA Office for Coastal Management (OCM) received the files in las format. The files contained LiDAR
elevation and intensity measurements. The data were delivered in UTM Zone 2 projection, NAD83 datum, meters.
Data available are classified as follows: Unclassified (1), Ground (2), Low Point (Noise) 7, Water (9),
Removed Ground (breakline edge) (10), and Overlap (12). OCM performed the following processing for data storage and
Digital Coast provisioning purposes:
1. The data were converted from UTM Zone 2, NAD83 coordinates to geographic coordinates.
2. The Tutuila (and Aunu'u), Ofu, Olosega, and Tau data were converted from NAVD88 (orthometric) heights to GRS80
(ellipsoid) heights using Geoid09.
3. The Rose Atoll data were converted from MLW to ellipsoid (using MLW correction value of 22.8 m)
4. The data were zipped to laz format.
2013-05-01T00:00:00
gov.noaa.nmfs.inport:48146
Anne Ball
2017-11-14T14:19:41
SysAdmin InPortAdmin
2023-10-17T16:12:14
2022-03-16
Office for Coastal Management
OCM
1002
Public
No
2022-03-16
1 Year
2023-03-16