gov.noaa.nmfs.inport:57796 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 2024-02-29T00:00:00 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) point 4585038129 NAD83(HARN) / UTM zone 11N2008-11-12publicationEuropean Petroleum Survey Grouphttps://apps.epsg.org/api/v1/CoordRefSystem/3741/export/?format=gmlurn:ogc:def:crs:EPSG:37416.18.3 2009 OLC Lidar: Malheur River 2009_OLC_Malheur_River_m8879.xml 2011 publication NOAA/NMFS/EDM 57796 https://www.fisheries.noaa.gov/inport/item/57796 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/geoid18/8879/supplemental/2009_OLC_Malheur_River_Acceptance_Report.pdf WWW:LINK-1.0-http--link Dataset report Link to data set report. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8879/supplemental/2009_OLC_Malheur_LiDAR_Survey_Report.pdf WWW:LINK-1.0-http--link Dataset report Link to data set 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 The lidar elevation dataset encompasses 399 square miles in the central region of Oregon, including portions of Grant County. 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. Provide high resolution terrain elevation and land cover elevation data. DOGAMI, Watershed Sciences, Inc. 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 2026-04-05 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 notPlanned https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8879/supplemental/2009_malhuer_river_area_m8879.kmz This graphic displays the footprint for this lidar data set. KML EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION 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 DoGAMI Light Detection and Ranging bare earth bare ground elevation data high-resolution lidar topography theme DEM Lidar - partner (no harvest) project InPort otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-04-05 from the NOAA system. Cite As: OCM Partners, [Date of Access]: 2009 OLC Lidar: Malheur River [Data Date Range], https://www.fisheries.noaa.gov/inport/item/57796. 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 2026-04-05 from the NOAA system. Access Constraints: None otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-04-05 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 2026-04-05 from the NOAA system. 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 2009 OLC Lidar DEM: Malheur River, OR NOAA/NMFS/EDM 57857 crossReference NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 57796 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/57796.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference vector .35 eng; US elevation Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.1.0.722 At NOAA: Linux RedHat 7 -124.126065 -124.084512 42.097523 42.12627 High elevation snow prevented the rest of the collection until melt. | Currentness: Ground Condition 2008-11-19 2008-12-11 Collection of areas that were covered by snow during first collect. | Currentness: Ground Condition 2009-07-01 2009-07-05 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=8879 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. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8879/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. download dataset Horizontal Positional Accuracy 1/3000th of above ground flying height. Project height for this project was 900 meters equating to a 0.27 meter footprint Qualitative value: , Test that produced the valued: See LiDAR data report. Vertical Positional Accuracy Absolute accuracy compares known Real Time Kinematic (RTK) ground survey points to the closest laser point. For the Malheur study area, 3,126 RTK points were collected by Watershed Sciences, Inc. RMSE = 0.033 meters (0.11 feet), Accuracy was assessed using 3,126 ground survey (real time kinematic) points. These ground survey points are distributed throughout the entire study area. See LiDAR data report. Completeness Report LiDAR data has been collected and processed for all areas within the project study area. Conceptual Consistency Watershed Sciences, Inc. collected Light Detection and Ranging (LiDAR) data of the Malheur study area for the Oregon Department of Geology and Mineral Industries (DOGAMI). The area of interest (AOI) totals 399 square miles (255,271 acres) and the total area to fly (TAF) covers 409 square miles (261,732 acres). The TAF acreage is greater than the original AOI acreage due to buffering and flight planning optimization (Figure 1.1 below). This report has been amended to reflect new data and cumulative statistics for the overall LiDAR survey. DOGAMI data are delivered in OGIC(HARN): Projection: Oregon Statewide Lambert Conformal Conic; horizontal and vertical datums: NAD83 (HARN)/NAVD88(Geoid03); Units: International Feet. For Delivery 1 of the Malheur study area, the AOI totals 132,104 acres (206 square miles) and the TAF totals 134,922 acres (211 square miles). The AOI for delivery 2 is 123,167 acres (192 square miles) and the TAF totals 126,810 acres (198 square miles). Figure 1.2 below displays the TAF and AOI for the complete Malheur study area. Data was collected and processed by Watershed Sciences Inc. and delivered to the Oregon Department of Geology and Mineral Industries (DOGAMI). The data was obtained by NOAA from DOGAMI and ingested into the Digital Coast Data Access Viewer. Acquisition. The LiDAR data was collected between August 19 and 27 , 2008. The survey used a Leica ALS50 Pase II laser system mounted in a Cessna Caravan 208. Near nadir scan angles were used to increase penetration of vegetation to ground surfaces. Ground level GPS and aircraft IMU were collected during the flight. Processing. 1. Flight lines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points. 2. Laser point return coordinates were computed using ALS Post Processor software and IPAS Pro GPS/INS software, based on independent data from the LiDAR system, IMU, and aircraft. 3. The raw LiDAR file was assembled into flight lines per return with each point having an associated x, y, and z coordinate. 4. Visual inspection of swath to swath laser point consistencies within the study area were used to perform manual refinements of system alignment. 5. Custom algorithms were designed to evaluate points between adjacent flight lines. Automated system alignment was computed based upon randomly selected swath to swath accuracy measurements that consider elevation, slope, and intensities. Specifically, refinement in the combination of system pitch, roll and yaw offset parameters optimize internal consistency. 6. Noise (e.g., pits and birds) was filtered using ALS postprocessing software, based on known elevation ranges and included the removal of any cycle slips. 7. Using TerraScan and Microstation, ground classifications utilized custom settings appropriate to the study area. 8. The corrected and filtered return points were compared to the RTK ground survey points collected to verify the vertical and horizontal accuracies. 9. Points were output as laser points, TINed and GRIDed surfaces. Metadata imported. 2008-11-26T00:00:00 Data was obtained by NOAA Office for Coastal Management from DOGAMI. Data were in Oregon Lambert NAD83(HARN) international feet with NAVD88(Geoid03) international feet vertically. Data were converted to geographic coordinates in ellipsoid heights (meters) using the general cartographic transform package subroutines and reversing the application of GEOID03. 2019-09-26T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor processed lidar Watershed Sciences, Inc originator raw lidar Watershed Sciences, Inc. originator The dataset has been mosaiced, reprojected, and clipped as needed from the original input files using PDAL and GDAL commands. 2026-04-05NOAA Office for Coastal Managementcoastal.info@noaa.govprocessor