49455 or2014_olc_metro_DEM_m6378_metadata Data Set Published / External 49404 DEMs - partner (no harvest) Project Completed 2017-06-15 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. 12121 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 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 > COASTAL PROCESSES > COASTAL ELEVATION Theme ISO 19115 Topic Category elevation Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > OREGON Theme Bare earth Theme Bare ground Theme DEM Theme DOGAMI Theme High-resolution Theme Light Detection and Ranging Office for Coastal Management Charleston SC Data Set None Planned 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. DOGAMI Data Steward 2017-06-15 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 2017-06-15 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 2017-06-15 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 2017-06-15 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 -123.779 -121.794 46.173 45.199 Range 2014-07-09 2014-09-07 Yes Projected EPSG:6557 NAD83(2011) / Oregon GIC Lambert (ft) NAD83 (National Spatial Reference System 2011) GRS 1980 NAD83(2011) Oregon GIC Lambert (ft) 1 Easting X Foot East 2 Northing Y Foot North Vertical EPSG:8228 NAVD88 height (ft) North American Vertical Datum 1988 1 Gravity-related height H foot up 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. 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. https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6378 2017-06-15 Organization NOAA Office for Coastal Management Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. Zip Zip https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/OLC_metro_2014_6378/index.html 2017-06-15 Organization NOAA Office for Coastal Management Bulk Download Simple download of data files. GeoTIFF GeoTIFF https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/6359/supplemental/OLC_Metro_2014_Survey_Report.pdf Survey Report Online Resource pdf Survey report from the contractor. https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/OLC_metro_2014_6378/tileindex_OLC_metro_2014.zip tile index shapefile Online Resource zip Tile index in shapefile format with the bounds, name, and URL for each DEM tile in the dataset. 2017-09-26 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. 2018-02-13 Partial upload to move data access links to Distribution Info. unknown 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. Lidar data has been collected and processed for all areas within the project study area. 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. DEM files Organization Oregon Lidar Consortium Originator 1 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 2 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 3 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 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 DEM files gov.noaa.nmfs.inport:49455 Anne Ball 2017-11-15T15:13:20 Kirk Waters 2024-01-10T18:58:44 2024-01-10 OCM Partners OCMP 1002 Public No No 2022-03-16 1 Year 2023-03-16