63038 Data Set Published / External 49404 DEMs - partner (no harvest) Project Completed 2012 No metadata record for this data set was provided to the NOAA Office for Coastal Management (OCM). This record was created with information from the data report. A link to the data report is provided in the URL section of this metadata record. WSI collected Light Detection and Ranging (LiDAR) data of the Union Baker Study Area for the Oregon Department of Geology and Mineral Industries (DOGAMI). The total Area of Interest (AOI) and the total area flown (TAF) covers 379,002 acres and 390,797 acres respectively. The TAF acreage is greater than the original AOI acreage due to buffering and flight planning optimization. Union Baker data were delivered in: OGIC (HARN): Projection: Oregon Statewide Lambert Conformal Conic; horizontal and vertical datum: NAD83 (HARN)/NAVD88 (Geoid03); units: International Feet; grid resolution: 3 ft. The acquisition dates were: Delivery 1: Dec 8 -12, 2011 Delivery 2: May 14 - July 3, 2012 This dataset provides high resolution terrain elevation and land cover elevation data in the Union Baker study area. Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION Theme ISO 19115 Topic Category elevation Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > OREGON Spatial Global Change Master Directory (GCMD) Location Keywords VERTICAL LOCATION > LAND SURFACE Instrument Global Change Master Directory (GCMD) Instrument Keywords LIDAR > Light Detection and Ranging Platform Global Change Master Directory (GCMD) Platform Keywords Airplane > Airplane Theme DEM Office for Coastal Management Charleston SC Data Set Elevation None Planned Model (digital) Any conclusions drawn from the analysis of this information are not the responsibility of the Oregon Lidar Consortium (OLC), DOGAMI, NOAA, the Office for Coastal Management or its partners. DOGAMI Data Steward 2020 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 2020 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 2020 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 2020 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 -118.239508 -117.6856 45.6077 44.682764 Range 2011-12-08 2011-12-12 Delivery 1 Range 2012-05-14 2012-07-22 Delivery 2 Yes Vertical EPSG:6360 NAVD88 height (ftUS) North American Vertical Datum 1988 1 Gravity-related height H US survey foot up Unclassified Data is available online for bulk and custom downloads. 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=9184/details/9184 2020 Organization NOAA Office for Coastal Management Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Zip Zip https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/OLC_Union_Baker_DEM_2012_9184/index.html 2020 Organization NOAA Office for Coastal Management Bulk Download Bulk download of DEM files in GeoTIFF format, OR Statewide Lambert Conformal Conic (NAD83 HARN), international feet coordinates, orthometric heights in feet. GeoTIFF GeoTIFF Zip https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9183/supplemental/or2012_union_baker_m9183.kmz Browse graphic Browse Graphic KML This graphic displays the footprint for this lidar data set. https://coast.noaa.gov/dataviewer/ NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) Online Resource HTML The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9183/supplemental/OLC_Union-Baker_Delivery_1_LIDAR_Acceptance_Report.pdf Report Online Resource pdf DOGAMI Report for Delivery 1 https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9183/supplemental/OLC_Union_Baker_120831.pdf Data report Online Resource pdf Data report https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9183/supplemental/Union-Baker_Delivery_2_LIDAR_QC_Report.pdf Report Online Resource pdf DOGAMI Report for Delivery 2 DOGAMI Horizontal Accuracy for Delivery 1 and 2: Horizontal accuracies were not specified in agreement since true horizontal accuracy is regarded as a product of the lidar ground foot print. Lidar is referenced to co-acquired GPS base station data that has accuracies far greater than the value of the lidar foot print. The ground footprint is equal to 1/3333rd of above ground flying height. Survey altitude for this acquisition was targeted at 900 meters yielding a ground foot print of 0.27 meters. This value exceeds the typical accuracy value of ground control used to reference the lidar data (<0.01m). Project specifications require the lidar foot print to fall within 0.15 and 0.40 meters. DOGAMI was able to test the horizontal accuracy of survey monuments used to reference the lidar data while conducting vertical control measurements. For internal purposes only, the XY coordinates of survey monuments surveyed by DOGAMI were compared to the survey monuments provided by the vender and in almost every case, the reported results were consistent with those obtained by DOGAMI staff. Watershed Sciences Vertical Accuracy: FVA accuracy reporting is designed to meet guidelines presented in the National Standard for Spatial Data Accuracy (NSSDA) (FGDC, 1998). FVA compares known RTK ground survey points to the closest laser point. FVA uses ground control points in open areas where the LiDAR system has a “very high probability” that the sensor will measure the ground surface and is evaluated at the 95% percentile of RMSEZ. For the Union Baker Study Area, 4,193 RTK points were collected. For this project, no independent survey data were collected, nor were reserved points collected for testing. As such, vertical accuracy statistics are reported as “Compiled to Meet,” in accordance with the ASPRS Guidelines for Vertical Accuracy Reporting for LiDAR Data V1.0 (ASPRS, 2004). Fundamental Vertical accuracy for the entire study area is 9 cm (4 cm RMSE). DOGAMI Vertical Accuracy for Delivery 1: Vertical accuracy analysis consisted of differencing control data and the delivered lidar Digital Elevation Models (DEM) to expose offsets. These offsets were used to produce a mean vertical error and vertical RMSE value for the entire delivered data set. Project specifications list the maximum acceptable mean vertical offset to be 0.20 meters (0.65 feet). A total of 159 measured GCP’s were obtained in the Delivery 1 region and compared with the lidar elevation grids. The data delivered to DOGAMI was found to have a mean vertical offset of -0.038 meters (-0.126 feet) and an RMSE value of 0.053 meters (0.173 ft). Offset values ranged from -0.103 to 0.059 meters. DOGAMI Vertical Accuracy for Delivery 2: Vertical accuracy analysis consisted of differencing control data and the delivered lidar Digital Elevation Models (DEM) to expose offsets. These offsets were used to produce a mean vertical error and vertical RMSE value for the entire delivered data set. Project specifications list the maximum acceptable mean vertical offset to be 0.20 meters (0.65 feet). A total of 8025 measured GCP’s were obtained in the Delivery 2 region and compared with the lidar elevation grids. The data delivered to DOGAMI was found to have a mean vertical offset of -0.050 meters (-0.164 feet) and an RMSE value of 0.070 meters (0.231 ft). Offset values ranged from -0.288 to 0.176 meters. Yes Unknown Yes NCEI-CO Data is backed up to tape and to cloud storage. Watershed Sciences, LLC collected Light Detection and Ranging (LIDAR) data in the Union Baker project area for DOGAMI. NOAA OCM received the data and ingested it into the Digital Coast Data Access Viewer for distribution. processed lidar data Organization Watershed Sciences, LLC Originator raw lidar data Organization Watershed Sciences, LLC Originator 1 The LiDAR survey utilized Leica ALS50, ALS60 and ALS70 sensors mounted in Cessna Caravan 208B and Partenavia P.38 aircrafts. The systems were set to acquire ≥105,000 laser pulses per second (i.e. 105 kHz pulse rate) and flown at 900 and 1400 meters above ground level (AGL), capturing a scan angle of ±14o from nadir1. These settings are developed to yield points with an average native density of ≥8 points per square meter over terrestrial surfaces. The native pulse density is the number of pulses emitted by the LiDAR system. Some types of surfaces (i.e. dense vegetation or water) may return fewer pulses than the laser originally emitted. Therefore, the delivered density can be less than the native density and lightly variable according to distributions of terrain, land cover and water bodies. The study area was surveyed with opposing flight line side-lap of ≥60% (≥100% overlap) to reduce laser shadowing and increase surface laser painting. The system allows up to four range measurements per pulse, and all discernable laser returns were processed for the output dataset. To solve for laser point position, it is vital to have an accurate description of aircraft position and attitude. Aircraft position is described as x, y and z and measured twice per second (2 Hz) by an onboard differential GPS unit. Aircraft attitude is measured 200 times per second (200 Hz) as pitch, roll and yaw (heading) from an onboard inertial measurement unit (IMU). Owing to late seasonal snowpack and contractual deadline restrictions, LiDAR acquisition took place with snow on the ground in upper elevations of the Union Baker survey area, with the approval of DoGAMI. While the presence of an impermanent surface (e.g. snow, water, dunes) can influence data calibration and relative accuracy, the overall calibration statistics for the present data are excellent (see page 13, mean relative accuracy 4 cm; 1σ 5 cm). WSI’s overall assessment of the data is that it is robust and sufficient for analytical applications as long as the user is aware of the presence of snow in isolated areas. 2012-01-01T00:00:00 2 The bare-earth DEMs were created by triangulating all “ground” classified points and inserting 3-D breaklines utilizing TerraSolid’s TerraScan and TerraModeler software. Any ground points within 1 m of the breaklines were reclassified to “ignored-ground” (ASPRS code: 10) before triangulation. 2012-01-01T00:00:00 3 The NOAA Office for Coastal Management (OCM) received 38 bare earth DEM files in ArcGRID format from DOGAMI. The data were in OR Statewide Lambert Conformal Conic (NAD 83 HARN), international feet coordinates and NAVD88 (Geoid03) elevations in feet. The grid spacing was 3 feet. OCM performed the following processing for Digital Coast storage and provisioning purposes: 1. Data were converted to GeoTiff format using GDAL 2.4.0 to comply with the open data policy 2. The horizontal (2994) and vertical (6360) EPSG codes were applied 2020-10-05T00:00:00 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 processed lidar data 63021 Data Set Cross Reference gov.noaa.nmfs.inport:63038 Rebecca Mataosky 2020-10-05T20:09:47 Kirk Waters 2024-01-10T19:13:52 2024-01-10 OCM Partners OCMP 1002 Public No No 2022-03-16 1 Year 2023-03-16