gov.noaa.nmfs.inport:57943 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 5793267663 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 2018 OLC Lidar: Santiam, OR OLC_Santiam_Project_level_Master.xml 2019-03-21 creation 2019-03-21 publication NOAA/NMFS/EDM 57943 https://www.fisheries.noaa.gov/inport/item/57943 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/geoid18/8895/supplemental/2018_OLC_Santiam_Data_Report.pdf WWW:LINK-1.0-http--link Data Set Report Link to project report for this data set. 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 This GIS dataset contains points, polygons, and raster grids depicting lidar-derived elevation data for the Oregon Lidar Consortium (OLC) Santiam 2018 area of interest (AOI). The AOI encompasses 106,585 acres within area of interest (AOI), and 110,378 acres within the buffered area of interest (BAOI). All data are in Polk and Marion Counties, Oregon. The nominal pulse density is eight pulses per square meter. The digital elevation model (DEM) and digital surface model (DSM) raster grid cell size is 3 feet. The intensity raster grid cell size is 1.5 feet. The native projection is Oregon Statewide Lambert, Lambert Conformal Conic, units are in international feet. The native horizontal datum is NAD83(2011) and the native vertical datum is NAVD88 (Geoid 12B). Quantum Spatial Inc. collected the lidar and created this dataset for the Oregon Department of Geology and Mineral Industries (DOGAMI). The NOAA Office for Coastal Management received the point data and processed it to the Data Access Viewer (DAV) and http. The data were converted to geographic coordinates and ellipsoidal heights for DAV, and geographic coordinates and orthometric heights using NAVD88 for http. 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. This dataset provides high resolution elevation data that is used to produce three-dimensional models of the earth surface for the purpose of managing natural resources and mapping natural hazards. Oregon Department of Geology and Mineral Industries (DOGAMI) 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/geoid18/8895/supplemental/extent_Santiam_2018_m8895.kmz This graphic displays the footprint for this lidar data set. KML EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION theme Global Change Master Directory (GCMD) Science Keywords 17.0 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA VERTICAL LOCATION > LAND SURFACE VERTICAL LOCATION > SEA FLOOR 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 bare earth digital elevation model (DEM) digital terrain model (DTM) hillshade intensity quadrangle topography Continent > North America Continent > North America > United States Of America > Oregon Continent > North America > United States Of America > Oregon > Marion County Continent > North America > United States Of America > Oregon > Polk County USA theme Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus beach erosion theme 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]: 2018 OLC Lidar: Santiam, OR [Data Date Range], https://www.fisheries.noaa.gov/inport/item/57943. 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: Users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, surveying, or site specific purposes. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information. Acknowledgement of Oregon Department of Geology and Industries (DOGAMI) would be appreciated for products derived from these data. Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners unclassified 2018 OLC Lidar DEM: Santiam, OR NOAA/NMFS/EDM 57942 crossReference NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 57943 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/57943.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 LiDAR Mapping Suite 2.4, Applanix PosPac 7.1, Microstation Version 8.0, TerraScan Version 16, TerraModeler Version 16, TerraMatch Version 16, ESRI ArcGIS 10.3.1, Windows 7 Operating System -123.131443 -122.705748 44.709907 45.044279 | Currentness: Ground Condition 2018-11-18 2018-11-20 The data were collected for the Oregon Department of Geology and Mineral Industries by Quantum Spatial Inc. under State of Oregon Agency-Specific Price Agreement 7525. The price agreement specifies in Section 2.2 that the Quantum Spatial Inc. provide classified LAS files, intensity grids, digital elevation models (DEMs), digital surface models (DSMs), vector files, and a survey report. The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "Exhibit A of Amendment 7 to Price Agreement 7525", "ldrsens" : "Leica ALS80", "ldrmaxnr" : "unlimited", "ldrnps" : "0.35 m", "ldrdens" : "8 PPSM", "ldranps" : "0.35 m", "ldradens" : "8 PPSM", "ldrfltht" : "1500 m", "ldrfltsp" : "140 kts", "ldrscana" : "40 degrees", "ldrscanr" : "52.0 Hz", "ldrpulsr" : "357.2 kHz", "ldrpulsd" : "3 ns", "ldrpulsw" : "0.25 m", "ldrwavel" : "1064 nm", "ldrmpia" : "1", "ldrbmdiv" : "0.25 mrad", "ldrswatw" : "1092 m", "ldrswato" : "60%", "ldrgeoid" : "Geoid 12B" }, "ldraccur" : { "ldrchacc" : "0.24", "rawnva" : "0.044 m", "rawnvan" : "20" }, "lasinfo" : { "lasver" : "1.2", "lasprf" : "3", "laswheld" : "Not applicable", "lasolap" : "Not applicable", "lasintrz" : "16", "lasclass" : { "clascode" : "1", "clasitem" : "Undetermined/Unclassified" }, "lasclass" : { "clascode" : "2", "clasitem" : "Ground" } }} LAS/LAZ - LASer Zip Zip 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://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8895/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 https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8895 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 dataset Vertical Positional Accuracy State of Oregon Agency-Specific Price Agreement 7525 required that Quantum Spatial Inc. calculate fundamental vertical accuracy of lidar point data by comparing reserved ground control points (GCPs) on flat surfaces in areas where ground classified point resolution is both high, and the ground surface is open, smooth and without vegetation, to a local triangulated irregular network (TIN) surface of ground classified points. The fundamental vertical accuracy did not exceed 9.25 cm RMSE.Qualitative value:0.022 m RMSE, Test that produced the value: The vertical accuracy was tested using 20 reserved ground survey points (GSPs), or quality assurance points (QAPs) located in open terrain. The QAPs were uniformly distributed throughout the project area. The 20 QAPs were established using GPS or other techniques that result in vertical and horizontal accuracies of 1.5 cm root-mean-square-error (RMSE) or better. Vertical accuracy was assessed by QSI by calculating and averaging the distances between GSPs that are not clustered and a surface interpolated from lidar first returns. The RMSE was computed to be 2.20 centimeters as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. Completeness Report A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. Conceptual Consistency Data covers the entire area specified for this project. 1. TRAJECTORY: Aircraft trajectory (position and attitude) were calculated based on on-board GPS and IMU data with post-processing refinement through coincident static GPS collection. 2. POST-PROCESSING: Laser point return coordinates (x,y,z) were computed using sensor-specific post processing software, combining LiDAR return range and intensity information with aircraft trajectory information. 3. INITIAL QAQC: The post-processed LiDAR files were assembled into flight lines and reviewed for gaps and consistency, as well as systematic noise. 4. CALIBRATION: Custom algorithms evaluated individual swaths for misalignments based on IMU configuration as well as aircraft attitude variability. Offsets were resolved through surface and linear matching algorithms that minimize variability in elevation and slope. Descriptive statistics, thresholds, and specifications providing transparency for data calibration are discussed in the accompanying Data Report. 5. GROUND MODELING: Ground classified point cloud was generated through proprietary data processing tools, with settings and thresholds appropriate to landscape and vegetation condition. 6. ARTIFACT FILTRATION: Noise and processing artifacts were filtered using post-processing software and proprietary quality control methods. 7. ACCURACY ASSESSMENT: Vertical accuracy for the LiDAR dataset was assessed against reserved Quality Assurance Points (QAPs) distributed throughout the study area and not used during calibration processes. See the accompanying Data Report for methodology, descriptive statistics, and relevant standards and reporting language. 8. DATA PRODUCT: LiDAR points classified as 'ground' were output as a digital elevation model (DEM). 9. Hydro Flattening Breakline Processing: Class 2 LiDAR was used to create a bare earth surface model. E-Cognition utilized rasters created within Bentley Microstation to auto-generate breaklines of inland streams and rivers with a 100 foot nominal width and Inland Ponds of 2 acres or greater surface area. Breaklines for Lakes with surface area greater than 2 acres were generated using heads-up digitization. Elevation values were assigned to all Inland Ponds and Lakes within ESRI ArcMap; Inland Pond and Lake Islands, Inland Stream and River Islands were assigned elevation values from within ESRI ArcMap. All ground (ASPRS Class 2) LiDAR data inside of the collected inland breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 2.1 meter was also used around each hydro-flattened stream. These points were moved from ground (ASPRS Class 2) to Ignored Ground (ASPRS Class 10). The breakline files were then translated to ESRI File-Geodatabase format using ESRI conversion tools. 2018-11-21T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor Data was obtained by NOAA Office for Coastal Management from DOGAMI. Data were in Oregon Lambert NAD83(2011) international feet with NAVD88(Geoid12B) 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 GEOID12B. 2019-10-11T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor Raw Lidar 2019-03-11 publication Quantum SPatial http://quantumspatial.com/ WWW:LINK-1.0-http--link Quantum Spatial Data collector's website information originator Source Contribution: These data were used to assess the vertical accuracy of the LiDAR point cloud data. See the acceptance report for this project area. Oregon Department of Geology and Mineral Industries (DOGAMI) originator 2018-11-18 2018-11-20 Source Contribution: This data was used, along with GPS/IMU data, to georeference LIDAR point cloud data. See the reprot PDF for this project area. Quantum Spatial, Inc. https://quantumspatial.com/ WWW:LINK-1.0-http--link Source Citation URL Source Citation URL information originator 2018-11-21 Source Contribution: These data was used to classify LiDAR point cloud data. 50 See the survey report PDF for this project area. Quantum Spatial, Inc. originator 2018-11-21 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