gov.noaa.nmfs.inport:57827 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) 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 2012 Lidar: Fall Creek, OR or2012_fall_creek_m8887_metadata 2019-10-01 creation publication NOAA/NMFS/EDM 57827 https://www.fisheries.noaa.gov/inport/item/57827 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/#/lidar/search/where:ID=8888 WWW:LINK-1.0-http--link Citation URL Link to custom download, from the Data Access Viewer (DAV), the raster Digital Elevation Model (DEM) data that were created from this lidar data set. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8887/supplemental/LiDAR_Data_Report_FallCREEK.pdf WWW:LINK-1.0-http--link Data report Link to the 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. (WSI) collected Light Detection and Ranging (LiDAR) data in Fall Creek, OR for David C. Smith and Associates and the US Army Corps of Engineers between January 13 and February 23, 2012. The requested lidar area of interest (AOI) totals approximately 23,859 acres and Total Area Flown (TAF) totals 25,485 acres. In addition to these lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data are also available. These data are available for custom download at the link provided in the URL section of this metadata record. 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. Collect elevation data for David C. Smith and Associates and the US Army Corps of Engineers. David C. Smith and Associates, US Army Corps of Engineers 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 2026-04-06 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/geoid12b/8887/supplemental/or2012_fall_creek_m8887.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 digital theme Continent > North America > United States Of America > Oregon > Lane County place Lidar - partner (no harvest) project InPort otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-04-06 from the NOAA system. Cite As: OCM Partners, [Date of Access]: 2012 Lidar: Fall Creek, OR [Data Date Range], https://www.fisheries.noaa.gov/inport/item/57827. 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 2026-04-06 from the NOAA system. Access Constraints: None otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-04-06 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 2026-04-06 from the NOAA system. Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of David C. Smith and Associates, US Army Corps of Engineers, DOGAMI, NOAA, the Office for Coastal Management or its partners. unclassified NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 57827 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/57827.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference vector eng; US elevation -122.921337 -122.647548 43.911659 44.009017 Fall Creek project area. | Currentness: Ground Condition 2012-01-13 | Currentness: Ground Condition 2012-02-23 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=8887 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/geoid12b/8887/index.html WWW:LINK-1.0-http--link Bulk Download Bulk download of files in laz format, in geographic coordinates, orthometric heights. download dataset Vertical Positional Accuracy FVA accuracy reporting is designed to meet guidelines presented in the National Standard for Spatial Data Accuracy (NSSDA) (FGDC, 1998). FVA compares known RTK ground survey points to the closest laser point. FVA uses ground control points in open areas where the lidar system has a very high probability that the sensor will measure the ground surface and is evaluated at the 95% of RMSEz. For the Fall Creek lidar survey, 606 RTK points were collected. For this project, no independent survey data were collected, nor were reserved points collected for testing. As such, vertical accuracy statistics are reported as Compiled to Meet, in accordance with the ASPRS Guidelines for Vertical Accuracy Reporting for Lidar data v1.0 (ASPRS, 2004) . The RMSE is 0.02 m . Watershed Sciences, Inc., collected Light Detection and Ranging (LIDAR) data in the Blue River project area for the USDA Forest Service and EPA. NOAA OCM received the data from DOGAMI and ingested it into the Digital Coast Data Access Viewer for distribution. Acquisition. This LiDAR survey utilized an Optech Orion mounted in a Cessna Caravan 208B aircraft. The LiDAR system was set to acquire ≥100,000 laser pulses per second (i.e., 100 kHz pulse rate) and flown at 800 m above ground level (AGL), capturing a scan angle of ±14o from nadir . The survey implemented opposing flight lines with side-lap of ≥50% (≥100% overlap) to reduce laser shadowing and increase surface laser painting. To solve for laser point position, an accurate description of aircraft position and attitude is vital. Aircraft position is described as x, y, and z and is measured twice per second (2 Hz) by an onboard differential GPS unit. Aircraft attitude is described as pitch, roll, and yaw (heading) and is measured 200 times per second (200 Hz) from an onboard inertial measurement unit (IMU). 2011-11-01T00:00:00 Ground Survey During the LiDAR survey, static (1 Hz recording frequency) ground surveys were conducted over set monuments. After the airborne survey, the static GPS data are processed using triangulation with Continuously Operating Reference Stations (CORS) and checked using the Online Positioning User Service (OPUS1) to quantify daily variance. Multiple sessions are processed over the same monument to confirm antenna height measurements and reported position accuracy. During every LiDAR survey, static (1 Hz recording frequency) ground surveys were conducted over either pre-existing or newly set monuments. After the airborne survey, the static GNSS data were processed using triangulation with Continuously Operating Reference Stations (CORS) and checked using the Online Positioning User Service (OPUS ) to quantify daily variance. Additionally, a daily RTK survey was conducted to collect ground control points. These data are then used in the processing of the LiDAR data acquired during the flight. WSI owns and operates multiple sets of Trimble GPS and Global Navigation Satellite System (GNSS ) dual-frequency L1-L2 receivers used in both static and RTK surveys. Existing and established survey benchmarks serve as control points during LiDAR acquisition. All monumentation established by WSI is set using 5/8” x 30" rebar topped with a 2” aluminum cap marked with the monument name, date and “WATERSHED SCIENCES INC., CONTROL” across the top. Laser Point Processing Laser point coordinates are computed using the LMS software suites based on independent data from the LiDAR system (pulse time, scan angle), and aircraft trajectory data (SBET). Laser point returns (first through fourth) are assigned an associated (x, y, and z) coordinate along with unique intensity values (0-255). The data are output into large LAS v. 1.2 files; each point maintains the corresponding scan angle, return number (echo), intensity, and x, y, and z (easting, northing, and elevation) information. The system allows up to four range measurements per pulse, and all discernible laser returns are processed for the output dataset. Flightlines and LiDAR data are then reviewed to ensure complete coverage of the project area and positional accuracy of the laser points. Once the laser point data are imported into TerraScan, a manual calibration is performed to assess the system offsets for pitch, roll, heading and mirror scale. Using a geometric relationship developed by WSI, each of these offsets is resolved and corrected if necessary. The LiDAR points are then filtered for noise, pits and birds by screening for absolute elevation limits, isolated points and height above ground. Supervision of point classes occurs, and spurious points are removed. For a *.las file containing approximately 7.5-9.0 million points, an average of 50-100 points are typically found to be artificially low or high. Common sources of non-terrestrial returns are clouds, birds, vapor, and haze. Internal calibration is refined using TerraMatch. Points from overlapping lines are tested for internal consistency and final adjustments are made for system misalignments (i.e., pitch, roll, heading offsets and mirror scale). Automated sensor attitude and scale corrections yield 3-5 cm improvements in the relative accuracy. Once the system misalignments are corrected, vertical GNSS drift is resolved and removed per flight line, yielding a slight improvement (<1 cm) in relative accuracy. In summary, the data completes a robust calibration designed to reduce inconsistencies from multiple sources (i.e., sensor attitude offsets, mirror scale, GNSS drift). The TerraScan software suite is designed specifically for classifying near-ground points (Soininen, 2004). The processing sequence begins by ‘removing’ all points that are not ‘near’ the earth based on geometric constraints used to evaluate multi-return points. The resulting bare earth (ground) model is visually inspected and additional ground point modeling is performed in site-specific areas (over a 50-meter radius) to improve ground detail. This is only done in areas with known ground modeling deficiencies, such as: deeply incised stream banks and dense vegetation. In some cases, ground point classification includes known vegetation (e.g., understory, low/dense shrubs, etc.) and these points are then manually reclassified as non-grounds. Ground surface rasters are developed from triangulated irregular networks (TINs) of ground points. The NOAA Office for Coastal Management (OCM) received 112 lidar point cloud files in laz format from DOGAMI. The files contained lidar elevation and intensity measurements. The data were in UTM Zone 10N, NAD83, meters, coordinates and NAVD88 (Geoid03) elevations in meters. The data were classified as: 1-Unclassified, 2-Ground, 8-Model Key Point, and 9-Water. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 8, 9. 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 Geoid03 model, to convert from UTM Zone 10N, NAD83 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. 2019-10-01T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor processed lidar data Wateshed Sciences, Inc. originator raw lidar data Watershed Sciences, Inc. originator The dataset has been mosaiced, reprojected, and clipped as needed from the original input files using PDAL and GDAL commands. 2026-04-06NOAA Office for Coastal Managementcoastal.info@noaa.govprocessor