gov.noaa.nmfs.inport:52876 eng UTF8 dataset Office for Coastal Management resourceProvider 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 2024-02-29T00:00:00 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) 2 row 1000 1 point 1 2012 NOAA American Samoa Lidar DEM: Islands of Tutuila, Aunu'u, Ofu, Olosega, Ta'u and Rose Atoll 2012 AmSam DEM 2013-06 publication NOAA/NMFS/EDM 52876 https://www.fisheries.noaa.gov/inport/item/52876 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/2490/supplemental/PhotoScience-AmSam_PostFlightAcquisitionReport_FINAL.pdf WWW:LINK-1.0-http--link Acquisition report Report by PhotoScience covering data acquisition. download 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 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 in the URLs section. 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 (see lineage steps for details). 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. 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 unknown https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/2490/supplemental/2012_NOAA_American_Samoa_Lidar.kmz This graphic shows the lidar coverage for the American Samoa lidar. kmz EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION theme Global Change Master Directory (GCMD) Science Keywords 17.0 OCEAN > PACIFIC OCEAN > CENTRAL PACIFIC OCEAN > AMERICAN SAMOA place Global Change Master Directory (GCMD) Location Keywords 20.8 DEM theme DOC/NOAA/NOS/OCM > Office of Coastal Management, National Ocean Service, NOAA, U.S. Department of Commerce dataCentre Global Change Master Directory (GCMD) Data Center Keywords 2017-04-24 publication 8.5 DEMs project InPort 2024-01-29T00:00:00 Metadata from the lidar contractor states that Rose Atoll was delivered in Mean Lower Low Water (MLLW), but it not clear how that is possible. The issue is being investigated, but it is more likely that GEOID09 was applied to the NAD83(P00) ellipsoid heights. Waters, Kirk user otherRestrictions Cite As: Office for Coastal Management, [Date of Access]: 2012 NOAA American Samoa Lidar DEM: Islands of Tutuila, Aunu'u, Ofu, Olosega, Ta'u and Rose Atoll [Data Date Range], https://www.fisheries.noaa.gov/inport/item/52876. 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: 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. otherRestrictions Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of the Office for Coastal Management or its partners. unclassified 2012 NOAA American Samoa Lidar: Islands of Tutuila, Aunu'u, Ofu, Olosega, Ta'u and Rose Atoll NOAA/NMFS/EDM 48146 crossReference NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 52876 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocm/dmp/pdf/52876.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference grid eng; US elevation MicroStation Version 8; TerraScan Version 12; TerraModeler Version 12; GeoCue Version 2012; ESRI ArcGIS 10.1; Global Mapper 14.1; Optech DashMAP 5.2000 -170.851652 -168.132827 -14.564143 -14.152104 | Currentness: Ground Condition 2012-06-25 | Currentness: Ground Condition 2012-06-27 | Currentness: Ground Condition 2012-07-05 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 GeoTIFF Zip GeoTIFF Uncompressed 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=8543 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.us-east-1.amazonaws.com/dem/AmSam_DEM_2012_8543/index.html WWW:LINK-1.0-http--link Bulk Download Simple download of data files. download dataset Accuracy 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. Horizontal Positional Accuracy Collected to meet four feet RMSE or better. Vertical Positional Accuracy 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 Completeness Report Datasets contain complete coverage of project area and tiles. Conceptual Consistency 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. 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. 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 Rose Atoll was adjusted to an approximate mean low water datum (MLW) to meet project needs. This was done by using a shapefile that was acquired at the approximate MLW (determined in the field during the GPS work) on Rose and draped that 2D polygon over the LiDAR data that exists in ellipsoidal heights. In doing so we extracted ellipsoidal elevations along that shapefile, effectively converting it into a 3D polygon. Overall, the results of this are very good. The average ellipsoidal elevation of the polygonal boundary is 22.84 meters with a standard deviation of 0.22 meters. We do think these statistics can be improved somewhat by eliminating some of the points from this analysis where the polygon appears to move up from what we infer as the water line. There are also some points along one side of the island that appear to be a bit low. 2013-02-15T00:00:00 The NOAA Office for Coastal Management (OCM) received the files in ERDAS img format. Files were converted to cloud optimized GeoTiff format using GDAL. 2018-06-13T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor