gov.noaa.nmfs.inport:69695 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) EPSG::5703 EPSG::9674 2017 USFS Lidar DEM: Mantash, Taneum, WA 2017 Mantash Taneum m9821 2023-04-14 publication NOAA/NMFS/EDM 69695 https://www.fisheries.noaa.gov/inport/item/69695 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/geoid18/9814/supplemental/Project_Report_17042-Manatash_Taneum.pdf WWW:LINK-1.0-http--link Data Report Data report from the contractor for data originally submitted to USFS. 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 Product: Bare Earth Elevation Model (Digital Terrain Model, DTM) 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 Manatash Taneum AOI, which encompasses sixty one (61) square miles of the Okanogan-Wenatchee National Forest in Washington. 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. 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. US Forest Service, Region 6; The Atlantic Group, LLC 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/geoid18/9814/supplemental/2017_Manastash_Taneum_extent_m9814.kmz This graphic displays the footprint for this lidar data set. KML EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM) 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 > WASHINGTON 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 DEMs - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2017 USFS Lidar DEM: Mantash, Taneum, WA [Data Date Range], https://www.fisheries.noaa.gov/inport/item/69695. 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 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: 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: Mantash Taneum NOAA/NMFS/EDM 69608 crossReference grid 1 eng; US elevation -121.164845 -120.832966 47.024437 47.147803 | Currentness: Ground Condition 2017-10-14 2017-10-16 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 Gifford Pinchot National Forest and YYYYMMDD. Tiles shall also include indicator of data type, e.g. DTM for Digital Terrain Model (bare earth). A general description of filenaming requirements is as follows: Note: specific project site abbreviations will be provided post-award. Example: DTM_DESSWP_420000_943500_ 20170716 DTM: Data Type Abbreviation, e.g. digital terrain model DES: Forest Abbreviation, e.g. Deschutes SWP: Project Site Abbreviation, e.g. Swauk Pine 420000_943500: lower left coordinate identifier 20170716: collection date of July 16, 2017 YYYY: year, e.g. 2017 MM: month, e.g. 07 for July DD: day, e.g. 16 Forest Abbreviations: Deschutes: DES Gifford Pinchot: GIP Okanogan-Wenatchee: OKA Malheur: MAL Data Abbreviations: DTM: digital terrain model DSM: digital surface model INT: intensity FPC: full point cloud GPC: ground point cloud false eng false All derived products for Forest Service R6 Data Resources Management Zip 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=9821/details/9821 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.us-east-1.amazonaws.com/dem/USFS_Manastash_Taneum_2017_9821/index.html WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in the original coordinate system. download dataset Vertical Positional Accuracy The non-vegetated vertical accuracy of the DEM was 0.0828 meters RMSEz (0.1623 meters 95% confidence level) based on 10 check points. These are the values provided by the lidar contractor. Statistically, they should be reported as 0.08 meters and 0.16 meters respectively. 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. Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique NODATA value. This value is identified in the appropriate location within the file header. 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. Void areas (i.e. areas outside the project boundary but within the tiling scheme) are coded using a unique NODATA value. This value is identified in the appropriate location within the file header. Data cover the entire area specified for this project. Aircraft and Sensor Information and Flight Plan Execution Atlantic operated a Leica ALS70-HP lidar system on a Cessna (N732JE) for the project area. Atlantic acquired 1391 passes of the AOI as a series of perpendicular and/or adjacent flight-lines executed in flight 41 missions conducted between July 15, 2017 and September 28, 2017. 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. 2019-05-08T00:00:00 Ground Control Survey A total of 138 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 2020-12-02T00:00:00 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 2cm. 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. 2020-12-02T00:00:00 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) 2020-12-02T00:00:00 Bare earth Digital Elevation Models (DTMs) were derived using the bare earth (ground) lidar points. All DEMs were created with a grid spacing of 1.0-meter. DTMs for this project were cut to match the tile index and its corresponding tile names and delivered in img format. 2020-12-02T00:00:00 Data were received from US Forest Service by the NOAA Office for Coastal Management (OCM) in Imagine (*.img) format. The projection was USFS Region 6 Albers (EPSG:9674) meters with the vertical in NAVD88 (EPSG:5703) on Geoid12B. Data were converted to cloud optimized geotiff (COG) format for distribution in the Digital Coast Data Access Viewer. 2023-04-24T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor DEM data USFS originator