gov.noaa.nmfs.inport:79317 eng UTF8 dataset Elevation 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 2026-02-23T14:52:55 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) EPSG::8228 EPSG::6557 2022 ODF Lidar DEM: Private Forest Accords, OR 2022 creation 2026 publication NOAA/NMFS/EDM 79317 https://www.fisheries.noaa.gov/inport/item/79317 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: Hydroflattened Digital Elevation Model (DEM) data 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 LAS 1.4 files delineated in 3000ft x 3000ft tiles. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Class 2 (ground, unflagged) lidar points in conjunction with the hydro breaklines were used to create 3-foot hydro-flattened Raster DEMs delineated in 3000ft x 3000ft tiles. 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 were used to create classified lidar LAS files, hydro-flattened DEMs, highest hit surface models, intensity images, and 3D breaklines of rivers and lakes 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 EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM) theme Global Change Master Directory (GCMD) Science Keywords 17.0 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 20.8 LIDAR > Light Detection and Ranging instrument Global Change Master Directory (GCMD) Instrument Keywords 17.2 Airplane > Airplane platform Global Change Master Directory (GCMD) Platform Keywords 17.2 DEMs - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2022 ODF Lidar DEM: Private Forest Accords, OR [Data Date Range], https://www.fisheries.noaa.gov/inport/item/79317. 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: Private Forest Accords, OR NOAA/NMFS/EDM 79315 crossReference NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 79317 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/79317.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference grid 3 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 Raster File Type = TIFF; Bit Depth/Pixel Type = 32-bit floating; Raster Cell Size = 3-foot; Interpolation or Resampling Technique = Triangulated Irregular Network; Required Vertical Accuracy is 19.6 cm at 95% Confidence Level for NVA or better. 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=13985/details/13985 WWW:LINK-1.0-http--link Customized Download Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/dem/OR_Priv_Forest_Acc_DEM_2022_13985/index.html WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in the original coordinate system. 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 DEM files were tested by GeoTerra for vertical accuracy. All data is seamless from one tile to the next and contain 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 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. 3. After completion of classification and final QC, calculate final density. 2023-01-30T00:00:00 Hydro-flattening Breaklines and Hydro-flattened DEM creation: Water boundaries were manually derived for rivers and lakes by reviewing ground-classified Lidar with intensity values in a 3D environment. Lakes were assigned a consistent elevation for an entire polygon while rivers were assigned consistent elevations on opposing banks to ensure downstream flow through the entire river channel. Resulting breaklines were incorporated into the DEM to produce a hydro-flattened surface model by enforcing elevation values derived from the breakline to correct the interpolation along the hard water edges. Breaklines were also used to classify all ground points within the identified water bodies to class 9 (water). 2023-01-30T00:00:00 The NOAA Office for Coastal Management (OCM) received 3148 GeoTIFF files from the Oregon Department of Geology and Mineral Industries (DOGAMI). The files were in OR Statewide Lambert NAD83(2011) international feet coordinates and the elevations were in NAVD88 (GEOID18) international feet. The bare earth raster files were at a 3 ft grid spacing. OCM assigned the vertical EPSG code (8228), the horizontal EPSG code (6557) and copied the raster files to AWS S3 for Digital Coast storage and provisioning purposes. 2026-02-20T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor GeoTIFF Files 2023-01-01 publication Oregon Dept. of Geology and Mineral Industries (DOGAMI) originator