gov.noaa.nmfs.inport:59827 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::6319 2007 USFS Lidar: Malheur National Forest - Damon Creek, OR 2020-05-04 creation publication NOAA/NMFS/EDM 59827 https://www.fisheries.noaa.gov/inport/item/59827 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/geoid18/9100/supplemental/Damon_Malheur_LiDAR.pdf WWW:LINK-1.0-http--link Data report Data 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 No metadata record for this data set was provided to the NOAA Office for Coastal Management (OCM). This record was created with information from the data report. A link to the data report is provided in the URL section of this metadata record. Watershed Sciences, Inc. (WS) collected Light Detection and Ranging (LiDAR) data for the Damon Region of Malheur National Forest on September 15 and 16, 2007. The Area of Interest (AOI) covers 31,614 acres (north: 9,598 acres, south: 22,016 acres). The LiDAR survey utilized a Leica ALS50 Phase II laser mounted in a Cessna Caravan 208B. The sensor scan angle was ±14 degrees from nadir, with a pulse rate designed to yield an average native density (number of pulses emitted by the laser system) of ≥4 points per square meter over terrestrial surfaces. 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. USDA Forest Service 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/geoid18/9100/supplemental/extent_2007_Malheur_DamonCreek_m9100.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 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 Continent > North America > United States Of America > Oregon > Malheur National Forest place Lidar - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2007 USFS Lidar: Malheur National Forest - Damon Creek, OR [Data Date Range], https://www.fisheries.noaa.gov/inport/item/59827. 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: Any conclusions drawn from the analysis of this information are not the responsibility of the USDA Forest Service, NOAA, the Office for Coastal Management or its partners. unclassified vector eng; US elevation -119.1669 -118.9271 44.0636 44.2634 Malheur National Forest, Damon Creek project area. Dates of collection. | Currentness: Ground Condition 2007-09-15 2007-09-16 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=9100 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/geoid18/9100/index.html WWW:LINK-1.0-http--link Bulk Download Bulk download of lidar files in laz format, geographic coordinates, orthometric heights. download dataset Horizontal Positional Accuracy Not Provided Vertical Positional Accuracy Quality assurance for LiDAR datasets includes a real-time kinematic (RTK) survey located in the study area. The accuracy of the LiDAR data is described as standard deviations of divergence (sigma ~ σ) from RTK ground survey points and root mean square error (RMSE) which considers bias (upward or downward). These statistics are calculated cumulatively. Statements of statistical accuracy apply to fixed terrestrial surfaces only. RTK Survey Sample Size (n): 1,007 RMSE = 0.025 m (2.5 cm) Watershed Sciences collected Light Detection and Ranging (LIDAR) data in the Malheur National Forest, Damon Creek project area for the USDA Forest Service. NOAA OCM received the data and ingested it into the Digital Coast Data Access Viewer for distribution. Acquisition The full survey was conducted September 15 and 16, 2007. The LiDAR survey utilized a Leica ALS50 Phase II laser mounted in a Cessna Caravan 208B. The sensor scan angle was ±14o from nadir1 with a pulse rate designed to yield an average native density (number of pulses emitted by the laser system) of ≥4 points per square meter over terrestrial surfaces. Some types of surfaces (e.g. dense vegetation or water) may return fewer pulses than the laser originally emitted. Therefore, the delivered density can be less than the native density and variable according to distributions of terrain, land cover and water bodies. The Leica ALS50 Phase II system allows up to four range measurements per pulse, and all discernable laser returns were processed for the output dataset. To solve for laser point position, it is vital to have an accurate description of aircraft position and attitude. Aircraft position is described as x, y and z and measured twice per second (2 Hz) by an onboard differential GPS unit. Aircraft attitude is measured 200 times per second (200 Hz) as pitch, roll and yaw (heading) from an onboard inertial measurement unit (IMU). 2017-07-20T00:00:00 Calibration/Classification 1. Resolve kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data. Software: Waypoint GPS v.7.60 2. Develop a smoothed best estimate of trajectory (SBET) file that blends post-processed aircraft position with attitude data. Sensor heading, position, and attitude are calculated throughout the survey. Software: IPAS v.1.0 3. Calculate laser point position by associating SBET position to each laser point return time, scan angle, intensity, etc. Creates raw laser point cloud data for the entire survey in *.las (ASPRS v1.1) format. Software: ALS Post Processing Software 4. Import raw laser points into subset bins (less than 500 MB, to accommodate file size constraints in processing software). Perform manual relative accuracy calibration and filter for pits/birds. Ground points are then classified for individual flight lines (to be used for relative accuracy testing and calibration). Software: TerraScan v.6.009 5. Test relative accuracy using ground classified points per each flight line. Perform automated line-to-line calibrations for system attitude parameters (pitch, roll, heading), mirror flex (scale) and GPS/IMU drift. Calibrations are performed on ground classified points from paired flight lines. Every flight line is used for relative accuracy calibration. Software: TerraMatch v.6.009 6. Import position and attitude data. Classify ground and non-ground points. Assess statistical absolute accuracy via direct comparisons of ground classified points to ground RTK survey data. Convert data to orthometric elevations (NAVD88) by applying a Geoid03 correction. Create ground model as a triangulated surface and export as ArcInfo ASCII grids at the specified pixel resolution. Software: TerraScan v.6.009, ArcMap v9.2 2018-01-01T00:00:00 The NOAA Office for Coastal Management (OCM) received 246 lidar point cloud files in laz format from the USDA Forest Service. The files contained lidar elevation and intensity measurements. The data were in UTM Zone 11 North (NAD83) coordinates and NAVD88 (Geoid03) elevations, with all units in meters. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges. 2. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid 03 model, to convert from UTM Zone 11N coordinates in meters, to geographic coordinates, to assign the geokeys, to sort the data by gps time, and zip the data to database and to http. 2020-05-25T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor processed lidar data Watershed Sciences originator raw lidar data Watershed Sciences originator