gov.noaa.nmfs.inport:69900 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 2026-04-30T00:00:00 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) point 14267598485 NAD83(2011) / UTM zone 10N2008-11-12publicationEuropean Petroleum Survey Grouphttps://apps.epsg.org/api/v1/CoordRefSystem/6339/export/?format=gmlurn:ogc:def:crs:EPSG:63396.18.3 2017 USFS Lidar: Diamond Lake, OR 2017 diamond lake m9830 2023-05-11 publication NOAA/NMFS/EDM 69900 https://www.fisheries.noaa.gov/inport/item/69900 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information 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 https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9830/supplemental/Project_Report_17042-Diamond_Lake.pdf WWW:LINK-1.0-http--link Report Online Resource download Product: Classified lidar point cloud The United States Forest Service, Region 6, (USFS) required leaf-on airborne lidar surveys to be collected over of national forestry in Oregon and Washington State. The following areas were requested to be covered: Gifford Pinchot National Forest (GIP) in Vancouver, Washington; Okanogan-Wenatchee National Forest (OKA) in Wenatchee, Washington; Malheur National Forest (MAL) in John Day, Oregon; Deschutes National Forest (DES) in Bend, Oregon, Willamette National Forest (WIL) in Eugene, Oregon, Umpqua National Forest (UMP) in Douglas, Lane, and Jackson Counties, Oregon. The following report applies to the Diamond Lake AOI, which encompasses three hundred twenty three (323) square miles of the Umpqua National Forest in Oregon. Aerial lidar data for this task order was planned, acquired, processed and produced at an aggregate nominal pulse spacing (ANPS) of 0.35 meters and aggregate nominal pulse density of 8 pulses per square meter. This data set contains point cloud data(' in LAZ (compressed LAS) format', ''). The data may have been reprojected or otherwise modified from the original data in an automated process. Disregard projection information in this abstract and refer to the spatial reference section. The primary goals of this project are to provide high accuracy Light Detection and Ranging (lidar) data to enhance project planning and implementation; identify areas for the implementation of forest restoration treatments designed to restore forest structure in young-growth stands; and to provide engineering and resource specialists more information for on-the-ground project planning. In addition, these data will be used by researchers and scientists to characterize vegetation type and structure as it currently exists on the landscape and to provide a detailed, accurate, and precise benchmark for future change detection work. The data products specified herein may also be used for vegetation mapping, road identification and mapping, hydrologic feature delineation, and landcover characterization applications including a canopy height model, understory vegetation prediction, and other stand metrics. U.S. Forest Service; The Atlantic Group, LLC The custom download may be cited as National Oceanic and Atmospheric Administration (NOAA) Digital Coast Data Access Viewer. Charleston, SC: NOAA Office for Coastal Management. Accessed 2026-08-08 at https://coast.noaa.gov/dataviewer. 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 unknown https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9830/supplemental/2017_DiamondLake_extent_m9830.kmz This graphic displays the footprint for this lidar data set. KML EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL 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 Diamond Lake National Forest (GIP) place Lidar - partner (no harvest) project InPort otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-08-08 from the NOAA system. Cite As: OCM Partners, [Date of Access]: 2017 USFS Lidar: Diamond Lake, OR [Data Date Range], https://www.fisheries.noaa.gov/inport/item/69900. 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 This data set was compiled dynamically. It will be removed 10 days after 2026-08-08 from the NOAA system. Access Constraints: None otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-08-08 from the NOAA system. 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 This data set was compiled dynamically. It will be removed 10 days after 2026-08-08 from the NOAA system. Distribution Liability: The data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of data collection. As such, it is only valid for its intended use, content, time, and accuracy specifications. The user is responsible for the results of any application of the data for other than its intended purpose. Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners unclassified 2017 USFS Lidar DEM: Diamond Lake, OR NOAA/NMFS/EDM 69916 crossReference vector .25 eng; US elevation -122.432038 -121.966923 43.081089 43.411244 | Currentness: Ground Condition 2017-07-07 2017-07-14 Tiling Scheme and Filenaming Convention Tile Coverage: Tiles which lie completely within the project area will be complete to the tile edges. Tiles which lie partially outside the project boundary will be complete to the project boundary with enough overlap beyond the project boundary to ensure that no parts of the project are omitted. Tile Size: - Tile dimensions shall be 1,500 meters x 1,500 meters - Tiled deliverables shall conform to the tiling scheme, without added overlap - The tiling scheme shall be used for all tiled deliverables - Tiled deliverables shall edge-match seamlessly in both the horizontal and vertical Tile Naming: All tile-based deliverables shall be named according to the US National Grid naming convention. All tile names shall include a project indicator and date of data collection, such as GIP for the Diamond Lake National Forest and YYYYMMDD. The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "BOR-NGP Base Lidar Specification v1.2", "ldrsens" : "Leica ALS70-HP", "ldrmaxnr" : "unlimited", "ldrnps" : "0.4568", "ldrdens" : "4.7933", "ldranps" : "0.2953", "ldradens" : "11.4679", "ldrfltht" : "2400", "ldrfltsp" : "120", "ldrscana" : "24", "ldrscanr" : "43.9", "ldrpulsr" : "260", "ldrpulsd" : "4", "ldrpulsw" : "0.50", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.15", "ldrswatw" : "935", "ldrswato" : "55", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid12B" }, "ldraccur" : { "ldrchacc" : "0", "rawnva" : "0", "rawnvan" : "0", "clsnva" : "0.1957", "clsnvan" : "138", "clsvva" : "0", "clsvvan" : "0" }, "lasinfo" : { "lasver" : "1.4", "lasprf" : "6", "laswheld" : "Withheld (ignore) points were identified in these files using the standard LAS Withheld bit.", "lasolap" : "Swath "overage" points were identified in these files using the standard LAS overlap bit.", "lasintr" : "32", "lasclass" : { "clascode" : "1", "clasitem" : "Unclassified" }, "lasclass" : { "clascode" : "2", "clasitem" : "Ground" }, "lasclass" : { "clascode" : "7", "clasitem" : "Low point (noise)" }, "lasclass" : { "clascode" : "18", "clasitem" : "High Point (Noise)" } }} false eng false All derived products for Forest Service R6 Data Resources Management Zip Zip LAS/LAZ - LASer Zip 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=9830/details/9830 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/geoid18/9830/index.html WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in LAZ format, geographic 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 Vertical Positional Accuracy Using 32 RTK GPS check points, the non-vegetated vertical accuracy (NVA) was found as 0.10 meters RMSEz (0.20 m at 95% confidence level). These numbers are reported here at the appropriate level of significant figures. See the report for more significant figures. It does pass the USGS lidar base spec requirement for QL 1 and 2 data. Completeness Report Area of interest covers project area. 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 NVA specifications. Conceptual Consistency All lidar data and lidar derived data covers the entire area of interest. All lidar point cloud tiles show no edge artifacts or mismatches from tile to tile. Aircraft and Sensor Information and Flight Plan Execution Atlantic operated a Leica ALS70-HP lidar system on a Cessna (N732JE) for the project area. AAtlantic acquired 247 passes of the AOI as a series of perpendicular and/or adjacent flight-lines executed in 6 flight missions conducted between July 7, 2017 and July 14, 2018. Onboard differential Global Navigation Satellite System (GNSS) unit(s) recorded sample aircraft positions at 2 hertz (Hz) or more frequency. Lidar data was only acquired when a minimum of six (6) satellites were in view. 2018-07-14T00:00:00 Ground Control Survey A total of 34 Non-vegetated Vertical Accuracy (NVA) points were collected in support of this project. Point cloud data accuracy was tested against a Triangulated Irregular Network (TIN) constructed from lidar points in clear and open areas. A clear and open area can be characterized with respect to topographic and ground cover variation such that a minimum of five (5) times the Nominal Pulse Spacing (NPS) exists with less than 1/3 of the RMSEZ deviation from a low-slope plane. Slopes that exceed ten (10) percent were avoided. Each land cover type representing ten (10) percent or more of the total project area were tested and reported with a VVA. In land cover categories other than dense urban areas, the tested points did not have obstructions forty-five (45) degrees above the horizon to ensure a satisfactory TIN surface. The VVA value is provided as a target. It is understood that in areas of dense vegetation, swamps, or extremely difficult terrain, this value may be exceeded. The NVA value is a requirement that must be met, regardless of any allowed 'busts' in the VVA(s) for individual land cover types within the project. Checkpoints for each assessment (NVA and VVA) are required to be well-distributed throughout the land cover type, for the entire project area. 2019-04-29T00:00:00 Lidar Point Cloud Generation Atlantic used Leica software products to download the IPAS ABGNSS/IMU data and raw laser scan files from the airborne system. Waypoint Inertial Explorer is used to extract the raw IPAS ABGNSS/IMU data, which is further processed in combination with controlled base stations to provide the final Smoothed Best Estimate Trajectory (SBET) for each mission. The SBETs are combined with the raw laser scan files to export the LAS (*.las) formatted swath point clouds 2020-10-22T00:00:00 Lidar Calibration Using a combination of GeoCue, TerraScan and TerraMatch; overlapping swath point clouds are corrected for any orientation or linear deviations to obtain the best fit swath-to-swath calibration. Relative calibration was evaluated using advanced plane-matching analysis and parameter corrections derived. This process was repeated interactively until residual errors between overlapping swaths, across all project missions, was reduced to no more than 2 cm. A final analysis of the calibrated lidar is preformed using a TerraMatch tie line report for an overall statistical model of the project area. Upon completion of the data calibration, a complete set of elevation difference intensity rasters (dZ Orthos) are produced. A user-defined color ramp is applied depicting the offsets between overlapping swaths based on project specifications. The dZ orthos provide an opportunity to review the data calibration in a qualitative manner. Atlantic assigns green to all offset values that fall below the required RMSDz requirement of the project. A yellow color is assigned for offsets that fall between the RMSDz value and 1.5x of that value. Finally, red values are assigned to all values that fall beyond 1.5x of the RMSDz requirements of the project. 2020-10-22T00:00:00 Lidar Classification Multiple automated filtering routines are applied to the calibrated lidar point cloud identifying and extracting bare-earth and above ground features. GeoCue, TerraScan, and TerraModeler software was used for the initial batch processing, visual inspection and any manual editing of the lidar point clouds. Atlantic utilized collected breakline data to preform classification for classes 9 (Water) and 20 (Ignored Ground). 1 Processed, Unclassified 2 Ground 7 Low Point (Noise) 18 High Point (Noise) 2020-10-22T00:00:00 Data were received from the U.S. Forest Service Region 6 by the NOAA Office for Coastal Management in LAZ format, Albers USFS Region 6 projection (EPSG:9674), and NAVD88 (Geoid12B) meters vertically. Data were converted to geographic NAD83(2011) coordinates with ellipsoid heights (EPSG:6319) for ingest into the Digital Coast Data Access Viewer. Data were also reorganized such that the LAZ files adhere to the cloud optimized point cloud (COPC) specification for more efficient internet streaming. 2023-05-12T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor classified lidar data USFS originator The dataset has been mosaiced, reprojected, and clipped as needed from the original input files using PDAL and GDAL commands. 2026-08-08NOAA Office for Coastal Managementcoastal.info@noaa.govprocessor