gov.noaa.nmfs.inport:79315 eng UTF8 dataset Elevation 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 2026-08-21T12:35:57 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) point 6113534280 EPSG::6319 2022 ODF Lidar: Private Forest Accords, OR or2022_prv_frst_acc_m13984_metadata 2022 creation 2026 publication NOAA/NMFS/EDM 79315 https://www.fisheries.noaa.gov/inport/item/79315 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/entwine/geoid18/13984/ept.json WWW:LINK-1.0-http--link Entwine Point Tile (EPT) Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/13984/supplemental/2022_ODF_PFA_Lidar_Technical_Report.pdf WWW:LINK-1.0-http--link Lidar Report Link to the GeoTerra lidar report. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/13984/supplemental/220333_ODF_Lidar_PFA_Control_Survey_Report.pdf WWW:LINK-1.0-http--link Survey Report Link to the GeoTerra survey report. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/13984/breaklines/index.html WWW:LINK-1.0-http--link Breaklines Link to the breaklines in Esri gdb and OGC GeoPackage formats. download https://coast.noaa.gov/lidar/viewer/v/noaapotree.html?r=https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/entwine/geoid18/13984/ept.json WWW:LINK-1.0-http--link Potree 3D View Link to view the point cloud (using the Entwine Point Tile (EPT) format) in the 3D Potree viewer. download https://coast.noaa.gov/dataviewer/ WWW:LINK-1.0-http--link NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) 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. download Original Product: Classified LAS 1.4 files covering private forested Areas of Interest (AOI) in central Oregon. Original Geographic Extent: This dataset and derived products encompass an area covering approximately 947 square miles located in Jefferson and Wheeler Counties, Oregon. Original Dataset Description: Lidar flight line swaths were processed to create 3,148 classified files delineated in 3000ft x 3000ft tiles. Each LAS file contains Lidar point information which has been calibrated, controlled, and classified. Data was adjusted to ground using 19 surveyed ground control locations. Conditions at time of acquisition: free of snow, smoke, fog and cloud cover. This data was provided to the NOAA Office for Coastal Management (OCM) by DOGAMI (Oregon Department of Geology and Mineral Industries), for the purpose of making the data publicly available for custom and bulk downloads from the NOAA Digital Coast Data Access Viewer. The purpose of the lidar data was to produce a high accuracy 3D dataset that meets all necessary standards laid out by the Oregon Department of Forestry contract. The Lidar point cloud data was used to create classified lidar LAS files, hydro-flattened DEMs, and highest hit surface models, within the study area. DOGAMI, ODF, GeoTerra, Inc. 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 theme Global Change Master Directory (GCMD) Science Keywords 23.3 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > OREGON VERTICAL LOCATION > LAND SURFACE place Global Change Master Directory (GCMD) Location Keywords 23.3 LIDAR > Light Detection and Ranging instrument Global Change Master Directory (GCMD) Instrument Keywords 23.3 Airplane > Airplane platform Global Change Master Directory (GCMD) Platform Keywords 23.3 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 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2026. GCMD Keywords, Version 24. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian Lidar project InPort otherRestrictions Cite As: Office for Coastal Management, [Date of Access]: 2022 ODF Lidar: Private Forest Accords, OR [Data Date Range], https://www.fisheries.noaa.gov/inport/item/79315. 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. license To the extent possible under law, the U.S. Government has waived all copyright and related or neighboring rights to this dataset. 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 NOAA, the Office for Coastal Management or its partners. unclassified 2022 ODF Lidar DEM: Private Forest Accords, OR NOAA/NMFS/EDM 79317 crossReference vector .29 eng; US elevation Optech LMS, Novatel Inertial Explorer v8.9, Microstation CONNECT, TerraScan Version 19, TerraMatch Version 19, ESRI ArcGIS 10.3, ESRI ArcGIS Pro 3.0, Geocue LP360, Windows 10 Operating System -121.047221 -119.661076 44.40862 44.994219 | Currentness: Ground Condition 2022-09-23 2022-10-13 Ground Control was acquired by GeoTerra, Inc. All lidar data acquisition, calibration, and follow-on processing were completed by GeoTerra, Inc. The following are the USGS lidar fields in JSON: { "ldrinfo " :{ "ldrspec " :" Lidar acquisition at > 8 points per square meter with delivery of classified points in LAS format with derivative Raster products for Contract ODF-1109A-20, Task Order #4. ", "ldrsens " :" Teledyne Optech Galaxy Prime ", "ldrmaxnr " :" 8 ", "ldrnps " :" 0.35 m ", "ldrdens " :" 8 ppsm ", "ldranps " :" 0.35 m ", "ldradens " :" 11.7 ppsm ", "ldrfltht " :" 1951 m ", "ldrfltsp " :" 120 kts ", "ldrscana " :" 20 ", "ldrscanr " :" 73 Hz ", "ldrpulsr " :" 600 kHz ", "ldrpulsd " :" 3 ns ", "ldrpulsw " :" 0.31 m ", "ldrwavel " :" 1064 nm ", "ldrmpia " :" 7 ", "ldrbmdiv " :" 0.16 mrad ", "ldrswatw " :" 1442 m ", "ldrswato " :" 55% ", "ldrgeoid " :" Geoid 18 " }, "ldraccur " :{ "ldrchacc " :" 0.00 ", "rawnva " :" 0 ", "rawnvan " :" 0 " }, "lasinfo " :{ "lasver " :" 1.4 ", "lasprf " :" 7 ", "laswheld " :" Withheld (ignore) points are identified in these files using the standard LAS Withheld bit. ", "lasolap " :" Overlap bit flag was not used. ", "lasintr " :" 16 ", "lasclass " :{ "clascode " :" 1 ", "clasitem " :" Processed, but Unclassified " }, "lasclass " :{ "clascode " :" 2 ", "clasitem " :" Bare earth ground " }, "lasclass " :{ "clascode " :" 7 ", "clasitem " :" Low Noise " }, "lasclass " :{ "clascode " :" 9 ", "clasitem " :" Water " }, "lasclass " :{ "clascode " :" 17 ", "clasitem " :" Bridge Decks " }, "lasclass " :{ "clascode " :" 18 ", "clasitem " :" High Noise " }, "lasclass " :{ "clascode " :" 20 ", "clasitem " :" Ignored Ground Near Breaklines " } } } Zip LAS/LAZ - LASer LAZ 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=13984 /details/13984 WWW:LINK-1.0-http--link 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. Change to an orthometric vertical datum is one of the many options. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/13984/index.html WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in LAZ format, UTM Zone 10 NAD83(2011) coordinates and elevations in orthometric (GEOID18) meters. download dataset Horizontal Positional Accuracy Data was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 0.64 ft (19.5 cm) RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 1.57 ft (47.9 cm) at a 95% confidence level. Vertical Positional Accuracy This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 0.33 ft (10 cm) RMSEz Vertical Accuracy Class equating to NVA = +/- 0.65 ft (19.8 cm) at 95% confidence level and VVA = +/- 0.99 ft (30 cm) at the 95th percentile. Completeness Report A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. Conceptual Consistency Acquired Lidar and resulting classified LAS files were deigned to meet or exceed a vertical accuracy of RMSEz 0.1 meter. All data is seamless from one tile to the next and contain no gaps or data voids. This data was provided to the NOAA Office for Coastal Management (OCM) by the DOGAMI (Oregon Department of Geology and Mineral Industries), for the purpose of making the data publicly available for custom and bulk downloads from the NOAA Digital Coast Data Access Viewer. Lidar Pre-Processing: 1. Review all flight data to ensure accuracy of the laser points and complete coverage of the project area. 2. Perform corrections for aircraft position data using Precise Point Positioning (PPP) method. 3. Develop a smoothed best estimate of trajectory (SBET) file that blends post-processed aircraft position with sensor head position and attitude recorded throughout the survey. 4. Calculate laser point position by associating SBET position to each laser point return time, scan angle, intensity, etc. Create raw laser point data for the entire survey in *.las format. Convert data to orthometric elevations by applying a Geoid 18 correction. 5. Import raw point data into three manageable blocks to perform relative accuracy calibration and filter erroneous points. Auto-classify ground points for individual flight lines. 6. Perform automated line-to-line calibrations for system attitude parameters (pitch, roll, heading), mirror flex (scale) and GPS/IMU drift. Calculate calibrations on ground classified points from paired flight lines and apply results to all points in a flight line. Calculate relative line-to-line data accuracy after final adjustment. 7. Apply final positional adjustment to the point cloud by comparing ground classified points to surveyed ground control points. 2023-01-30T00:00:00 Lidar Post-Processing: 1. Classify data to ground and other client designated classifications using site-specific algorithms. 2. Manually QC data classification. 2023-01-30T00:00:00 The NOAA Office for Coastal Management (OCM) received 3148 laz files from DOGAMI. The files were in OR Statewide Lambert NAD83(2011) international feet coordinates and the elevations were in NAVD88 (GEOID18) international feet. The LAZ files had these classifications: 1 = unclassified; 2 = ground (or Bare Earth); 7 = low noise; 9 = water; 17 = bridges; 18=high noise; 20 = ignored ground. NOAA OCM processed all of the point classes to the Digital Coast Data Access Viewer (DAV). OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. Internal OCM scripts were run to check the number of points by classification and by flight ID and the gps, elevation, and intensity ranges. 2. Internal OCM scripts were run on the LAZ files to: a. Convert from orthometric (NAVD88) elevations to ellipsoid elevations using the GEOID18 model b. Convert from OR Statewide Lambert NAD83(2011) international feet coordinates to geographic coordinates c. Convert from elevations in feet to elevations in meters d. Assign the geokeys, to sort the data by gps time and zip the data to database and to AWS S3. 2026-02-19T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor LAZ Files 2023-01-01 publication Oregon Dept. of Geology and Mineral Industries (DOGAMI) originator