gov.noaa.nmfs.inport:49455 eng UTF8 dataset OCM Partners 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) EPSG::6557 EPSG::8228 2014 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar DEM: Metro Portland, OR or2014_olc_metro_DEM_m6378_metadata 2017-06-15 publication NOAA/NMFS/EDM 49455 https://www.fisheries.noaa.gov/inport/item/49455 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/6359/supplemental/OLC_Metro_2014_Survey_Report.pdf WWW:LINK-1.0-http--link Survey Report Survey report from the contractor. download https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/OLC_metro_2014_6378/tileindex_OLC_metro_2014.zip WWW:LINK-1.0-http--link tile index shapefile Tile index in shapefile format with the bounds, name, and URL for each DEM tile in the dataset. download The dataset encompasses 1221.6 square miles in portions of the greater Portland Metro area in the state of Oregon. The highest hit digital surface models (DSM) represent the earth's surface with all vegetation and human-made structures included. The highest hit DSMs were derived from lidar data using TIN processing of the all-return point cloud. The bare earth digital elevation model (DEM) represents the earth's surface with all vegetation and human-made structures removed. The bare earth DEMs were derived from lidar data using TIN processing of the ground point returns. The DSM and DEM grid cell size is 3 feet. The projection was originally Oregon Statewide Lambert Conformal Conic, units are in International Feet. The horizontal datum is NAD 83 (2011) and the vertical datum was NAVD88 (Geoid 12A). Some elevation values have been interpolated across areas in the models where there is no elevation data (e.g. over water, over dense vegetation). Watershed Sciences, Inc. collected the lidar and created this data set for the Oregon Department of Geology and Mineral Industries (DOGAMI). Watershed Sciences, Inc. collected the lidar and created this data set for the Oregon Department of Geology and Mineral Industries (DOGAMI). Original contact information: Contact Name: Jacob Edwards Contact Org: DOGAMI Phone: 971-673-1557 Email: jacob.edwards@oregon.gov Provide high resolution terrain elevation data. DOGAMI 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 notPlanned 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 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > OREGON place Global Change Master Directory (GCMD) Location Keywords 20.8 Bare earth Bare ground DEM DOGAMI High-resolution Light Detection and Ranging theme DEMs - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2014 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar DEM: Metro Portland, OR [Data Date Range], https://www.fisheries.noaa.gov/inport/item/49455. 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. This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, surveying, or site specific purposes. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information. otherRestrictions Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of the Oregon Department of Geology and Mineral Industries (DOGAMI), the Office for Coastal Management or its partners. unclassified NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 49455 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/49455.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 -123.779 -121.794 45.199 46.173 | Currentness: Ground Condition 2014-07-09 2014-09-07 A final report for this project may be viewed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/6359/supplemental/OLC_Metro_2014_Survey_Report.pdf Zip Zip GeoTIFF 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=6378 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/OLC_metro_2014_6378/index.html WWW:LINK-1.0-http--link Bulk Download Simple download of data files. download dataset Horizontal Positional Accuracy unknown Vertical Positional Accuracy Vertical accuracy compares the delivered bare-earth digital elevation models (DEMS) with independent ground check points (GCPs) collected by DOGAMI staff. These variations in elevation values were used to produce a mean vertical error and vertical root mean square error (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) and the maximum vertical RSME to not exceed 0.0925 meters (0.303 feet). A total of 2425 measured GCP's were obtained in the Metro project area and were compared with the lidar elevation grids. The data delivered to DOGAMI was found to have a mean vertical offset of -0.094 meters (0.308 feet) and an RMSE value of 0.053 meters (0.174 feet). Offset values ranged from -0.667 meters (-2.19 feet) to 0.772 meters (2.53 feet). For more information about the vertical accuracy, please refer to the final report, listed above in the Supplemental_Information field of this metadata record. ; Quantitative Value: 0.053 meters, Test that produced the value: The approach adopted for DOGAMI lidar surveys was comprised of three components: 1) Verify the horizontal and vertical coordinates established by Watershed Sciences for a select number of survey monuments used to calibrate the lidar survey. These surveys typically involved a minimum of two hours of GPS occupation over a known point. The collected data were then submitted to the National Geodetic Survey (NGS) Online Positioning User Service (OPUS) for post-processing against several Continuously Operating Reference Stations (CORS) operated by the NGS. 2) Collect GCP's along relatively flat surfaces (roads, paths, parking lots etc.). This step involved the collection of both continuous measurements (from a vehicle as well as from a backpack) as well as static measurements (typically 5 epochs). 3) Having collected the GCP data, the GPS data was post-processed using Trimble Business Center software. Data post-processing typically involved calibrations against at least three CORS stations as well as from local site calibrations performed in the field using those benchmarks that had been independently verified. Data is post processed to refine measurements so that horizontal and vertical errors are less than 0.02 meters (0.065 feet). Horizontal accuracy of data is tested by reoccupying a sample subset of survey monuments used for processing of lidar data. Each occupation's x and y coordinates are compared with the vendor coordinates for offsets. Completeness Report Lidar data has been collected and processed for all areas within the project study area. Conceptual Consistency Upon receipt from vendor (WSI), all LiDAR data was independently reviewed by staff from the Oregon Department of Geology and Mineral Industries (DOGAMI) to ensure project specifications were met. All data were inventoried for completeness and data were checked for quality, which included examining LiDAR data for errors associated with internal data consistency, model quality, and accuracy. Acquisition. LiDAR data acquisition was conducted from July 9th, 2014 to September 7th, 2014. The survey utilized a Leica ALS70 and an Optech Orion H laser system mounted in a Cessna 208B. Scan angles near nadir were used to increase penetration of vegetation to ground surfaces. Ground level GPS and aircraft IMU were collected during the flight. 2014-07-09T00:00:00 Processing. 1. TRAJECTORY: Aircraft trajectory (position and attitude) were calculated based on on-board GPS and IMU data with post-processing refinement through coincident static GPS collection. 2. POST-PROCESSING: Laser point return coordinates (x,y,z) were computed using sensor-specific post processing software, combining LiDAR return range and intensity information with aircraft trajectory information. 3. INITIAL QAQC: The post-processed LiDAR files were assembled into flight lines and reviewed for gaps and consistency, as well as systematic noise. 4. CALIBRATION: Custom algorithms evaluated individual swaths for misalignments based on IMU configuration as well as aircraft attitude variability. Offsets were resolved through surface and linear matching algorithms that minimize variability in elevation and slope. Descriptive statistics, thresholds, and specifications providing transparency for data calibration are discussed in the accompanying Data Report. 5. GROUND MODELING: Ground classified point cloud was generated through proprietary data processing tools, with settings and thresholds appropriate to landscape and vegetation condition. 6. ARTIFACT FILTRATION: Noise and processing artifacts were filtered using post-processing software and proprietary quality control methods. 7. ACCURACY ASSESSMENT: Vertical accuracy for the LiDAR dataset was assessed against Ground Check Points (GCP) distributed throughout the study area. See the accompanying Data Report for methodology, descriptive statistics, and relevant standards and reporting language. 8. DATA PRODUCT: LiDAR points classified as 'ground' were output as a digital elevation model (DEM). 2014-09-07T00:00:00 The NOAA Office for Coastal Management (OCM) received the files in the proprietary ESRI grid format. The files were converted to floating point GeoTIFF format and ingested into the Digital Coast Data Access Viewer system. 2017-09-01T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor DEM files Oregon Lidar Consortium originator