gov.noaa.nmfs.inport:64356 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) 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 2019 USFS Lidar: Rogue River Siskiyou National Forest (CA, OR) or2019_rogue_river_metadata_m9262.xml 2020-03-13 publication NOAA/NMFS/EDM 64356 https://www.fisheries.noaa.gov/inport/item/64356 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/geoid18/9262/breaklines/ WWW:LINK-1.0-http--link Breaklines Link to the data set breaklines. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9262/supplemental/USFS_Rogue_River_3DEP_Technical_Data_Report.pdf WWW:LINK-1.0-http--link Lidar Report Link to the 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 Product: Classified LAS 1.4 files formatted to 1,652 individual 1,000 m x 1,000 m tiles for the Rogue River Siskiyou Project Area. Geographic Extent: This dataset and derived products encompass an area covering approximately 569 square miles within Siskiyou and Del Norte Counties in California as well as Josephine and Jackson Counties in Oregon. Dataset Description: The Rogue River Siskiyou lidar project called for the planning, acquisition, and processing of lidar data collected at an aggregate nominal pulse spacing (ANPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base lidar Specification, Version 1.3. The data was developed based on the NAD83(2011) horizontal datum and NAVD88 (GEOID12B) vertical datum. Data was projected in UTM Zone 10N. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 1,652 individual 1,000 m x 1,000 m tiles. Derived products include: tiled Intensity Imagery, tiled DZ orthos, tiled hydroflattend bare earth DEMs and 3D waters edge breaklines. Ground Conditions: Lidar was collected in fall 2019, while the presence of snow on the ground was at a minimum and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, QSI established a total of 65 ground control points distributed throughout the Rogue River Siskiyou, Oregon project area. Lidar data was calibrated to these known ground locations. An additional 70 independent accuracy checkpoints, 43 in Bare Earth and Urban landcovers (NVA points) and 27 in Shrub, Tall Grass, and Forest categories (VVA points) were used to assess the vertical accuracy of the project data. These checkpoints were not used to calibrate or post process the data. The NOAA Office for Coastal Management (OCM) downloaded the: 1. Lidar point data from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/OR_RogueSiskiyouNF_2019_B19/OR_RogueRiverSiskiyouNF_B1_2019/ 2. Breaklines, reports and metadata from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/OR_RogueSiskiyouNF_2019_B19/OR_RogueRiverSiskiyouNF_B1_2019/ These files were processed to the Data Access Viewer (DAV) and https. The total number of laz files downloaded and processed was 1652. The breakline data are available for download at the link provided in the URL section of this metadata record. Please note that these products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM. 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. The purpose of the lidar data was to produce a high accuracy 3D dataset that meets all necessary standards laid out by the 3DEP initiative. The raw lidar point cloud data were used to create classified lidar las files, hydroflattened DEMs, intensity images, dz orthos and 3D hydro breaklines. Quantum Spatial, 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 2026-05-05 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/geoid18/9262/supplemental/or2019_rogue_river_m9262.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 > CALIFORNIA 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 erosion theme Continent > North America > United States Of America > California > Del Norte County Continent > North America > United States Of America > California > Siskiyou County Continent > North America > United States Of America > Oregon > Jackson County Continent > North America > United States Of America > Oregon > Josephine County place Lidar - partner (no harvest) project InPort otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-05-05 from the NOAA system. Cite As: OCM Partners, [Date of Access]: 2019 USFS Lidar: Rogue River Siskiyou National Forest (CA, OR) [Data Date Range], https://www.fisheries.noaa.gov/inport/item/64356. 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 2026-05-05 from the NOAA system. Access Constraints: None otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-05-05 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 2026-05-05 from the NOAA system. Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of USFS, USGS, NOAA, the Office for Coastal Management or its partners. unclassified vector .35 eng; US elevation Applanix PosPac 7.1, Microstation Version 8.0, TerraScan Version 19, TerraModeler Version 19, TerraMatch Version 19, ESRI ArcGIS 10.5, Windows 10 Operating System -123.809255 -122.742024 41.870498 42.209784 | Currentness: Ground Condition 2019-10-05 2019-10-10 CONTRACTOR: Quantum Spatial, Inc. Ground Control Points were acquired by QSI. Quantum Spatial coordinated the data acquisition and performed all calibration, follow up processing, and creation of the final derived products. The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "U.S. Geological Survey (USGS) - National Geospatial Program (NGP) lidar Base Specification v1.3", "ldrsens" : "Riegl VQ1560i", "ldrmaxnr" : "15", "ldrnps" : "0.70", "ldrdens" : "4", "ldranps" : "0.20", "ldradens" : "23.10", "ldrfltht" : "2079", "ldrfltsp" : "115", "ldrscana" : "58.5", "ldrscanr" : "80.6 Lines Per Second Per Scanner", "ldrpulsr" : "500", "ldrpulsd" : "3", "ldrpulsw" : "0.37", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.18", "ldrswatw" : "2329", "ldrswato" : "55", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid12B" }, "ldraccur" : { "ldrchacc" : "0.23", "rawnva" : "0.104", "rawnvan" : "43", "clsvva" : "0.231", "clsvvan" : "27" }, "lasinfo" : { "lasver" : "1.4", "lasprf" : "6", "laswheld" : "Withheld (ignore) points were identified in these files using the standard LAS Withheld bit.", "lasolap" : "Swath "overage" points were identified in these files using the standard LAS overlap bit.", "lasintr" : "16", "lasclass" : { "clascode" : "1", "clasitem" : "Processed, but Unclassified" }, "lasclass" : { "clascode" : "2", "clasitem" : "Bare Earth Ground" }, "lasclass" : { "clascode" : "7", "clasitem" : "Noise" }, "lasclass" : { "clascode" : "9", "clasitem" : "Water" }, "lasclass" : { "clascode" : "17", "clasitem" : "Bridge Decks" }, "lasclass" : { "clascode" : "18", "clasitem" : "High Noise" }, "lasclass" : { "clascode" : "20", "clasitem" : "Ignored Ground" } }} 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=9262/details/9262 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. Change to an orthometric vertical datum is one of the many options. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9262/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. They will be in an orthometric datum. download dataset Horizontal Positional Accuracy Lidar horizontal accuracy is a function of Global Navigation Satellite System (GNSS) derived positional error, flying altitude, and INS-derived attitude error. The obtained RMSEr value is multiplied by a conversion factor of 1.7308 to yield the horizontal component (ACCr) of the National Standards for Spatial Data Accuracy (NSSDA) reporting standard where a theoretical point will fall within the obtained radius 95 percent of the time. Using a maximum flying height of 2,079 m, this data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 13.1 cm RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 23.0 cm at a 95% confidence level. Vertical Positional Accuracy This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class. The NVA was tested with 43 independent check points located in open terrain, and distributed throughout the project as feasible. These check points were not used in the calibration or post processing of the lidar point cloud data. Specifications for this project require that the NVA be 19.6 centimeters or better AccuracyZ at 95% confidence level. The 43 independent NVA check points were surveyed using the closed level loop technique. Elevations interpolated from the unclassified lidar surface were compared to the elevation values of the surveyed NVA check points. The RMSE was computed to be 0.053 meters resulting in an AccuracyZ at the 95% confidence level of 0.104 meters. NVA AccuracyZ has been tested and meets the required 0.196 meter NVA at 95% confidence level using (RMSEz * 1.9600) for the raw lidar point cloud as defined by the National Standards for Spatial Data Accuracy (NSSDA) and herein reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. The 27 VVA check points were surveyed using the closed level loop technique. Elevations for these points were compared to the elevations of the derived bare earth DEMs. The RMSE was computed to be 0.135 meters resulting in an AccuracyZ of 0.231 meters at the 95th percentile. AccuracyZ has been tested on the derived bare earth DEMs and meets the required 0.30 meter VVA using the 95th percentile of the absolute value of all vertical errors in all combined vegetation classes as defined by the National Standards for Spatial Data Accuracy (NSSDA); and herein reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. Completeness Report These LAS data files include all data points collected. No points have been removed or excluded. 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 Non-Vegetated Vertical Accuracy specifications. Conceptual Consistency Classified LAS files were tested by QSI for both vertical and horizontal accuracy. All data is seamless from one tile to the next, no gaps or no data areas. Quantum Spatial, Inc. collected data for the US Forest Service. The data was made available on the USGS Rockyftp site. NOAA OCM downloaded the laz files, the breaklines, metadata and reports and processed the data to be available from the Digital Coast. Lidar Pre-Processing: 1. Review flight lines and data to ensure complete coverage of the study area and positional accuracy of the laser points. 2. Resolve kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data. 3. Develop a smoothed best estimate of trajectory (SBET) file that blends post-processed aircraft position with sensor head position and attitude recorded throughout the survey. 4. Calculate laser point position by associating SBET position to each laser point return time, scan angle, intensity, etc. Create raw laser point cloud data for the entire survey in *.las format. Convert data to orthometric elevations by applying a geoid correction. 5. Import raw laser points into manageable blocks to perform manual relative accuracy calibration and filter erroneous points. Classify ground points for individual flight lines. 6. Using ground classified points per each flight line, test the relative accuracy. Perform automated line-to-line calibrations for system attitude parameters (pitch, roll, heading), mirror flex (scale) and GPS/IMU drift. Calculate calibrations on ground classified points from paired flight lines and apply results to all points in a flight line. Use every flight line for relative accuracy calibration. 7. Adjust the point cloud by comparing ground classified points to supplemental ground control points. 2019-10-10T00:00:00 lidar Post-Processing: 1. Classify data to ground and other client designated classifications using proprietary classification algorithms. 2. Manually QC data classification 3. After completion of classification and final QC approval, calculate NVA and VVA, and density information for the project using ground control quality check points. Single swath nominal pulse spacing (NPS) was designed to be 0.50 m at nadir. Aggregate Nominal Pulse Spacing (ANPS) was calculated to be 0.20 m using all valid first return points. 2019-10-10T00:00:00 The NOAA Office for Coastal Management (OCM) downloaded the lidar point data from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/OR_RogueSiskiyouNF_2019_B19/OR_RogueRiverSiskiyouNF_B1_2019/ These files were processed to the Data Access Viewer (DAV) and https. The total number of laz files downloaded and processed was 1652. The data were in UTM Zone 10 (NAD83 2011), meters coordinates and NAVD88 (Geoid12B) elevations in meters. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 17 - Bridge Decks, 18 - High Noise, 20 - Ignored Ground. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 7, 9, 17, 18, 20. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. An internal OCM script was run to report the las format, the point data format, the global encoding bit, and the min and max elevation values by file 2. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges. 3. Internal OCM scripts were run on the laz files to: a. Convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid 12B model b. Convert from UTM Zone 10 (NAD83 2011), meters coordinates to geographic coordinates c. Filter out points with elevations less than -200 meters or greater than 4000 meters d. Filter out points with coordinates outside this bounding box (-125, 40, -120, 45) e. Assign the geokeys f. Sort the data by gps time g. Zip the data to database and to http 2021-03-12T00:00:00 Office for Coastal Management processor Quantum Spatial, Inc. U.S. Forest Service (USFS) U.S. Geological Survey (USGS) The dataset has been mosaiced, reprojected, and clipped as needed from the original input files using PDAL and GDAL commands. 2026-05-05NOAA Office for Coastal Managementcoastal.info@noaa.govprocessor