gov.noaa.nmfs.inport:50170 eng UTF8 dataset 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 2026-05-04T13:04:49 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) 2012 USGS Lidar: Elwha River (WA) wa2012_usgs_elwha_river_m4955_metadata 2015-09-16 publication NOAA/NMFS/EDM 50170 https://www.fisheries.noaa.gov/inport/item/50170 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information TASK NAME: Elwha River, WA LiDAR LiDAR Data Acquisition and Processing Production Task USGS Contract No. G10PC00057 Task Order No. G11PD01088 Woolpert Order No. 71910 CONTRACTOR: Woolpert, Inc. LiDAR data is a remotely sensed high resolution elevation data collected by an airborne platform. The LiDAR sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The LiDAR systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 1.0 meter. The final products include first, last, and at least one intermediate return LAS, full classified LAS and one (1) meter pixel raster DEMs of the bare-earth surface in ERDAS IMG Format.The task order consisted of approximately thirty-five (35) square mile area along the Elwha River in Washington. This data will be used to assist the Department of Interior with the Elwha River Restoration Project following the removal of the Elwha Dam. The LiDAR data was acquired on October 10, 15, 16, and 17, 2012. This task order consisted of LiDAR data acquisition and processing for the USGS. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 1.0 meter. The LiDAR data was collected to meet a vertical accuracy requirement of 18.2cm (0.6 ft) at the 95% confidence level. The LiDAR data was provided in 1,000 meters x 1,000 meters tiles in the UTM projection. The LiDAR tile file name was derived from the southwest corner of each tile. The tiles were named based on the US National Grid. The LAS tiles were only renamed to add the acquisition date to the beginning of the file and alter the end of the filename to a sequential naming convention. 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 asNeeded Elwha River Restoration Project theme Lidar - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2012 USGS Lidar: Elwha River (WA) [Data Date Range], https://www.fisheries.noaa.gov/inport/item/50170. 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. These data depict the heights at the time of the survey and are only accurate for that time. otherRestrictions Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of Woolpert, USGS, NOAA, the Office for Coastal Management or its partners. unclassified vector eng; US elevation -123.645513 -123.398714 47.9318666 48.1528493 | Currentness: Ground Condition 2012-10-10 2012-10-17 A footprint of this data set may be viewed in Google Earth at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4955/supplemental/wa2012_usgs_elwha_river_m4955.kmz A final lidar report can be found here: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4955/supplemental/wa2012_usgs_elwha_river_m4955_lidarreport.pdf An accuracy assessment for the project may be viewed here: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4955/supplemental/wa2012_usgs_elwha_river_m4955_surveyreport.pdf false eng false none LAS/LAZ - LASer 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=4955 WWW:LINK-1.0-http--link Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. download dataset Horizontal Positional Accuracy Horizontal accuracy is listed as +/- 3.8-foot at the 95% confidence level in delivered (original) metadata though is reported in the lidar report that horizontal accuracy has a relative error estimation of between 1 cm and 2 cm.; Quantitative Value: 0.02 meters, Test that produced the value: See project report, link available in the supplemental information above. Vertical Positional Accuracy LAS data covering the Elwha River, Washington Lidar Task Order was compared to survey control points to determine the FVA of the LAS Swath and of the Bare-Earth DEM. In addition, this LAS data was compared to supplemental points from categories: Bare Earth Open Terrain, Tall Weeds/Crops, and Forested and Fully Grown. LAS Swath Fundamental Vertical Accuracy (FVA) Tested 0.152m (15.2cm) fundamental vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.078m (7.8cm) (RMSE(z) x 1.96000 tested against the TIN. Bare-Earth DEM Fundamental Vertical Accuracy (FVA) Tested 0.162m (16.2cm) fundamental vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.083m (8.3cm) (RMSE(z) x 1.96000 tested against the DEM.; Quantitative Value: 0.152 meters, Test that produced the value: LAS Swath Fundamental Vertical Accuracy (FVA) Tested 0.152 meters fundamental vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using RMSE(z) x 1.96000. This data set was tested against the TIN using independent check points.; Quantitative Value: 0.162 meters, Test that produced the value: Bare-Earth DEM Fundamental Vertical Accuracy (FVA) tested 0.162 meters fundamental vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using RMSE(z) x 1.96000. This data set was tested against the DEM using independent check points.; Quantitative Value: 0.143 meters, Test that produced the value: Bare Earth/Open Terrain Land Cover Classification Supplemental Vertical Accuracy (SVA) tested 0.143 meters supplemental vertical accuracy at the 95th percentile in Bare Earth/Open Terrain. Tested against the DEM. Errors larger than 95th percentile include: Point 106, Easting 455555.814, Northing 5322326.745, Z-Error 0.144 Point 116, Easting 459096.817, Northing 5331529.004, Z-Error 0.148; Quantitative Value: 0.291 meters, Test that produced the value: The Tall Weeds/Crops Land Cover Classification Supplemental Vertical Accuracy (SVA) tested 0.291 meters supplemental vertical accuracy at the 95th percentile in Tall Weeds/Crops. Tested against the DEM. Tall Weeds/Crops errors larger than 95th percentile include: Point 169, Easting 458866.554, Northing 5333118.706, Z-Error 0.293; Quantitative Value: 0.236 meters, Test that produced the value: The Forested and Fully Grown Land Cover Classification Supplemental Vertical Accuracy (SVA) tested 0.236 meters supplemental vertical accuracy at the 95th percentile in Forested and Fully Grown. Tested against the DEM. Forested and Fully Grown errors larger than 95th percentile include: Point 233, Easting 459936.682, Northing 5328485.045, Z-Error 0.239; Quantitative Value: 0.258 meters, Test that produced the value: The Consolidated Vertical Accuracy (CVA) tested 0.258 meters consolidated vertical accuracy at the 95th percentile level, derived according to ASPRS Guidelines for Vertical Accuracy Reporting for LiDAR Data. This data set was tested against the DEM using independent check points. Based on the 95th percentile error in all land cover categories combined. Combined Land Cover Errors larger than 95 percent include: Point 158, Easting 455941.88, Northing 5320597.031, Z-Error 0.263 Point 167, Easting 458742.638, Northing 5332568.325, Z-Error 0.266 Point 168, Easting 458751.388, Northing 5332562.195, Z-Error 0.291 Point 169, Easting 458866.554, Northing 5333118.706, Z-Error 0.293 Point 170, Easting 459282.631, Northing 5327659.036, Z-Error 0.340 Completeness Report The LiDAR data is visually inspected for completeness to ensure that are no gaps between flight lines. Conceptual Consistency All formatted data are validated using commercial GIS software to ensure proper formatting and loading prior to delivery. Using Leica a ALS60 a (LiDAR) system, high density data, at a nominal pulse spacing (NPS) of 1.0 meter, were collected for the Elwha River Restoration Project area of interest (approximately 35 square miles). The LiDAR data was acquired at a height of 900 meters AGL. Multiple returns were recorded for each laser pulse along with an intensity value for each return. A total of four missions were flown during a period of Ocotber 10 , 2012 through Ocotber 17 , 2012. A single airborne global positioning system (GPS) base station was used in support of the LiDAR data acquisition. The ground control and land cover category QA/QC points were surveyed through static and RTK methods. The geoid used to reduce satellite derived elevations to orthometric heights was Geoid09. Data for the task order is referenced to the UTM Zone 10N, North American Datum of 1983 (NAD83), and NAVD88, in Meters. Airborne GPS data was differentially processed and integrated with the post processed IMU data to derive a smoothed best estimate of trajectory (SBET). The SBET was used to reduce the LiDAR slant range measurements to a raw reflective surface for each flight line. The coverage was classified to extract a bare earth digital elevation model (DEM) and separate returns. In addition to the LAS deliverables, one layer of coverage was delivered in the IMG Format: bare-earth. 2012-10-17T00:00:00 The ALS60 calibration and system performance is verified on a periodic basis using a calibration range. Inertial measurement unit (IMU) misalignment angles and horizontal accuracy are calculated by comparing the position of of ground surveyed data, such as building edges, between opposing flight lines. The scanner scale factor and vertical accuracy is calculated through comparison of LiDAR data against control points. Field calibration is performed on all flight lines to refine the IMU misalignment angles. IMU misalignment angles are calculated from the relative displacement of features within the overlap region of adjacent (and opposing) flight lines. The raw LiDAR data is reduced using the refined misalignment angles. 2012-01-01T00:00:00 Once the data acquisition and GPS processing phases are complete, the LiDAR data was processed immediately to verify the coverage had no voids. The GPS and IMU data was post processed using differential and Kalman filter algorithms to derive a best estimate of trajectory. The quality of the solution was verified to be consistent with the accuracy requirements of the project. 2012-01-01T00:00:00 The individual flight lines were inspected to ensure the systematic and residual errors have been identified and removed. Then, the flight lines were compared to adjacent flight lines for any mismatches to obtain a homogenous coverage throughout the project area. The point cloud underwent a classification process to determine bare-earth points and non-ground points utilizing "first and only" as well as "last of many" LiDAR returns. This process determined bare-earth points (Class 2), Noise (Class 7), Water (Class 9) Ignored ground (Class 10), and default data (Class 1). The bare-earth (Class 2 - Ground) LiDAR points underwent a manual QA/QC step to verify that artifacts have been removed from the bare-earth surface. The surveyed ground control and land category QA/QC points are used to perform the accuracy checks and statistical analysis of the LiDAR dataset. 2013-01-01T00:00:00 The NOAA Office for Coastal Management (OCM) ingested the USGS data into the Digital Coast Data Access Viewer. The data were reduced to ellipsoid height by removing the GEOID09 model. The data reports mention both GEOID09 and GEOID03. Conversations with the contractor verified that GEOID09 was originally applied. The data were also converted to geographic coordinates and tagged as NAD83(CORS96) instead of the original tagging of NAD83 to match the realization given in the data reports. File names were prepended with the date of the first point in the file, however cases were found with incorrect dates. If the first point had a timestamp before 1990, the file did not have the date prepended. There are some files with first point timestamps in 2013 and these are believed to be incorrect. Users should not rely on any point timestamps that are not in the year 2012. 2026-05-04T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor Source Contribution: Directly used for Data Access Viewer processing USGS EPT for 2012 Elwha River USGS https://s3-us-west-2.amazonaws.com/usgs-lidar-public/WA_ElwhaRiver_2012/ept.json WWW:LINK-1.0-http--link EPT dataset Entwine Point Cloud data for 2012 Elwha River lidar data information publisher