gov.noaa.nmfs.inport:79395 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 2026-08-21T12:34:48 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) EPSG::6319 2022 - 2023 OLC/ODF Lidar: Private Forest Accords, OR or2022_olc_odf_prv_frst_acc_m14013_metadata 2022 creation 2024 publication NOAA/NMFS/EDM 79395 https://www.fisheries.noaa.gov/inport/item/79395 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/geoid18/14013/supplemental/OLC_Forest_Practice_R040453_Cumulative_Report_Final.pdf WWW:LINK-1.0-http--link Lidar Report Link to the NV5 Geospatial lidar report. 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: These lidar data are processed Classified LAS 1.4 files, formatted to 16,033 individual 3000ft x 3000ft tiles; used to create intensity images, Bare Earth DEMs, and Highest Hit DSMs. Original Geographic Extent: Seven areas in Oregon, covering approximately 4640 square miles. The seven areas are Beaver Marsh, Deschutes, Klamath, Malheur, Paisley, Siskiyou, and Sweet Home. Original Dataset Description: The OLC Forest Practice project called for the planning, acquisition, processing and production of derivative products of the lidar data and was to be collected at a nominal pulse spacing (NPS) of 0.35 m. Project specifications are based on the U.S. Geological Survey National Geospatial Program Lidar Base Specification 2023, Revision A. The native projection is Oregon Statewide Lambert, units are in international feet. The native horizontal datum is NAD83(2011); the native vertical datum is NAVD88; (Geoid 18). Lidar data was delivered as processed Classified LAS 1.4 files, formatted to individual 3000ft x 3000ft tiles, intensity images, bare earth DEMs, and highest hit DSMs; all tiled to the same 3000ft x 3000ft tiles schema and mosaicked. Ground Conditions: Lidar was collected between November 20, 2022 to June 22, 2023. There was minimal snow on the ground and the area was free of smoke 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. This dataset provides high resolution elevation data that is used to produce three-dimensional models of the earth surface for the purpose of managing natural resources and mapping natural hazards. Oregon Lidar Consortium (OLC), Oregon Dept. of Forestry (ODF), Oregon Dept. of Geology and Mineral Industries (DOGAMI), NV5 Geospatial 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 - 2023 OLC/ODF Lidar: Private Forest Accords, OR [Data Date Range], https://www.fisheries.noaa.gov/inport/item/79395. 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: Users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these 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. Acknowledgment of Oregon Department of Geology and Industries (DOGAMI) would be appreciated for products derived from these data. 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 - 2023 OLC/ODF Lidar DEM: Private Forest Accords, OR NOAA/NMFS/EDM 79399 crossReference vector .26 eng; US elevation geoscientificInformation POSPac MMS v.8.9, RiUnite v.1.0.3, StripAlign v.2.21, Microstation CONNECT version, TerraScan Version 19, TerraModeler Version 19, TerraMatch Version 20, Las Product Creator V4, ESRI ArcGIS 10.8, Windows 10 Operating System -124.021292 -118.02349 41.943386 44.466764 | Currentness: Ground Condition 2022-11-20 2023-06-22 CONTRACTOR: NV5 Geospatial All ground survey data, Lidar data acquisition, calibration, and follow-on processing were completed by the prime contractor, NV5 Geospatial The following are the USGS lidar fields in JSON: { "ldrinfo " :{ "ldrspec " :" U.S. Geological Survey National Geospatial Program Lidar Base Specification 2023, Revision A ", "ldrsens " :" VQ-1560ii-S ", "ldrmaxnr " :" 15 ", "ldrnps " :" 8 ", "ldrdens " :" 0.35 ", "ldranps " :" 0.27 ", "ldradens " :" 13.55 ", "ldrfltht " :" 2532 ", "ldrfltsp " :" 145 ", "ldrscana " :" 58.52 ", "ldrscanr " :" Uniform Point Spacing ", "ldrpulsr " :" 767 ", "ldrpulsd " :" 3 ", "ldrpulsw " :" 58.24 ", "ldrwavel " :" 1064 ", "ldrmpia " :" 1 ", "ldrbmdiv " :" 0.23 ", "ldrswatw " :" 2837 ", "ldrswato " :" 55 ", "ldrgeoid " :" Geoid 18 " }, "ldrinfo " :{ "ldrspec " :" U.S. Geological Survey National Geospatial Program Lidar Base Specification 2023, Revision A ", "ldrsens " :" VQ-1560ii-S ", "ldrmaxnr " :" 12 ", "ldrnps " :" 8 ", "ldrdens " :" 0.35 ", "ldranps " :" 0.27 ", "ldradens " :" 13.55 ", "ldrfltht " :" 2500 ", "ldrfltsp " :" 145 ", "ldrscana " :" 58.52 ", "ldrscanr " :" Uniform Point Spacing ", "ldrpulsr " :" 755 ", "ldrpulsd " :" 3 ", "ldrpulsw " :" 57.5 ", "ldrwavel " :" 1064 ", "ldrmpia " :" 1 ", "ldrbmdiv " :" 0.23 ", "ldrswatw " :" 2801 ", "ldrswato " :" 55 ", "ldrgeoid " :" National Geodetic Survey (NGS) Geoid 18 " }, "ldraccur " :{ "ldrchacc " :" 0.27 - 0.28 ", "rawnva " :" 0.049 ", "rawnvan " :" 128 " }, "lasinfo " :{ "lasver " :" 1.4 ", "lasprf " :" 7 ", "laswheld " :" Withheld (ignore) points are identified in these files using the standard LAS Withheld bit. ", "lasolap " :" Not applicable ", "lasintr " :" 16 ", "lasclass " :{ "clascode " :" 1 ", "clasitem " :" Processed, but Unclassified " }, "lasclass " :{ "clascode " :" 2 ", "clasitem " :" Bare-Earth Ground " }, "lasclass " :{ "clascode " :" 7 ", "clasitem " :" Low Noise " }, "lasclass " :{ "clascode " :" 17 ", "clasitem " :" Bridge Decks " }, "lasclass " :{ "clascode " :" 18 ", "clasitem " :" High Noise " } } } 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=14013 /details/14013 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/geoid18/14013/index.html WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in LAZ format, UTM 18N NAD83(2011) coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum. download dataset Horizontal Positional Accuracy Lidar horizontal accuracy is a function of Global Navigation Satellite System (GNSS) derived positional error, flying altitude, and INS derived attitude error. The obtained RMSEr value is multiplied by a conversion factor of 1.7308 to yield the horizontal component of the National Standards for Spatial Data Accuracy (NSSDA) reporting standard where a theoretical point will fall within the obtained radius 95 percent of the time. For most of the AOIs in the OLC Forest Practice project area, the flying altitude was 2500 meters, the IMU error was 0.002 decimal degrees, and the GNSS positional error was 0.023 meters. Based on these parameters, this project was produced to meet 0.896 feet (0.273 meters) horizontal accuracy at the 95% confidence level. The flying altitude was slightly higher during the November 20, 2022, acquisition for the Sweet Home AOI at 2532 meters, while the IMU error and GNSS positional error were the same as above. Based on these parameters, this portion of the project was produced to meet 0.907 feet (0.277 meters) horizontal accuracy at the 95% confidence level. Vertical Positional Accuracy This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class. The NVA was tested with 128 independent check points located in open terrain and distributed throughout the project as feasible. These check points were not used in the calibration or post processing of the lidar point cloud data. Specifications for this project require that the NVA be 0.196 meters or better AccuracyZ at 95% confidence level. Vegetated Vertical Accuracy (VVA) is also to be computed from the classified las. The VVA was tested with 103 check points in Tall Grass, Forest, and Shrub. These check points were also withheld from the calibration and post processing of the lidar point cloud data and distributed throughout the project area as feasible. Specifications for this project require that the VVA be 0.300 meters or better AccuracyZ at the 95th percentile. The 128 independent NVA check points were surveyed using the closed level loop technique. Elevations interpolated from the classified lidar surface were compared to the elevation values of the surveyed NVA check points. The RMSE was computed to be 0.083 feet (0.025 meters) resulting in an AccuracyZ at the 95% confidence level of 0.162 feet (0.049 meters). NVA AccuracyZ has been tested and meets the required 0.196 meter NVA at 95% confidence level using (RMSEz * 1.9600) for the classified lidar point cloud as defined by the National Standards for Spatial Data Accuracy (NSSDA) and herein reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. The 103 independent VVA check points were surveyed using the closed level loop technique. Elevations interpolated from the classified lidar surface were compared to the elevation values of the surveyed VVA check points. The RMSE was computed to be 0.306 feet (0.093 meters) resulting in an AccuracyZ at the 95% confidence level of 0.659 feet (0.201 meters). VVA AccuracyZ has been tested and meets the required 0.300 meter VVA at 95% confidence level using (RMSEz * 1.9600) for the classified lidar point cloud as defined by the National Standards for Spatial Data Accuracy (NSSDA) and herein reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. Completeness Report These LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications. Conceptual Consistency Classified LAS files were tested by NV5 Geospatial for vertical accuracy. All data is seamless from one tile to the next, no gaps or no data areas. 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 flight lines and data to ensure complete coverage of the study area and positional accuracy of the laser points. 2. Resolve kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data. 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 cloud data for the entire survey in *.las format. Convert data to orthometric elevations by applying a Geoid 18 correction. 5. Import raw laser points into manageable blocks to perform manual relative accuracy calibration and filter erroneous points. Classify ground points for individual flight lines. 6. Using ground classified points per each flight line, test the relative accuracy. 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. Use every flight line for relative accuracy calibration. 7. Adjust the point cloud by comparing ground classified points to supplemental ground control points. 2022-11-20T00:00:00 Lidar Post-Processing: 1. Classify data to ground and other client designated classifications using proprietary classification algorithms. 2. Manually QC data classification 3. After completion of classification and final QC approval, calculate final NVA, VVA, and density information for the project using ground control quality check points. 2022-11-20T00:00:00 The NOAA Office for Coastal Management (OCM) received 16,032 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; 17 = bridges; 18=high noise; 22 = temporal exclusion. 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. 2026-04-10T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor LAZ Files Oregon Dept. of Geology and Mineral Industries (DOGAMI) originator