gov.noaa.nmfs.inport:79559 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::5703 EPSG::6346 2019 - 2020 USGS QL2 Lidar DEM: Western PA 2020-08-28 publication NOAA/NMFS/EDM 79559 https://www.fisheries.noaa.gov/inport/item/79559 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://s3-us-west-2.amazonaws.com/usgs-lidar-public/PA_WesternPA_2_2019/ept.json WWW:LINK-1.0-http--link USGS Entwine Point Tile (EPT) - PA_WesternPA_2 Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud. download https://s3-us-west-2.amazonaws.com/usgs-lidar-public/PA_WesternPA_4_2019/ept.json WWW:LINK-1.0-http--link USGS Entwine Point Tile (EPT) - PA_WesternPA_4 Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud. download https://s3-us-west-2.amazonaws.com/usgs-lidar-public/PA_WesternPA_1_2019/ept.json WWW:LINK-1.0-http--link USGS Entwine Point Tile (EPT) - PA_WesternPA_1 Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud. download https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/PA_WesternPA_2019_D20/PA_WesternPA_1_2019/reports/35546_Western_PA_LiDAR_ProjectReport_FINAL.pdf WWW:LINK-1.0-http--link Lidar Report - PA_WesternPA_1 Lidar report for PA_Western_PA_1 (Work Unit 186384) which covers part of Allegheny, Armstrong, Butler, Indiana, and Washington counties and the full counties of Cambria, Fayette, Greene, and Somerset. download https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/PA_WesternPA_2019_D20/PA_WesternPA_2_2019/reports/35546_Western_PA_LiDAR_ProjectReport.pdf WWW:LINK-1.0-http--link Lidar Report - PA_WesternPA_2 Lidar report for PA_Western_PA_2 (Work Unit 208661) which covers part of Allegheny, Armstrong, Butler, Clarion, Forest, Indiana, Mercer, Venango, and Washington counties and the full counties of Beaver, Jefferson, and Lawrence. download https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/PA_WesternPA_2019_D20/PA_WesternPA_4_2019/reports/35546_Western_PA_D3_QL2_LiDAR_ProjectReport.pdf WWW:LINK-1.0-http--link Lidar Report - PA_WesternPA_4 Lidar report for PA_Western_PA_4 (Work Unit 210015) which covers part of Clarion, Forest, Indiana, Mercer, and Venango counties and the full counties of Crawford, Erie, and Warren. download https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/PA_WesternPA_2019_D20/USGS_PA_WesternPA_2019_D20_WP_Report.pdf WWW:LINK-1.0-http--link USGS Project Report Link to the USGS Project Report that provides information about the project, vertical accuracy results, and the point classes and sensors used. download https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/PA_WesternPA_2019_D20/ WWW:LINK-1.0-http--link USGS Additional Info Link to the reports, breaklines, metadata, spatial metadata, and shapefiles. download https://usgs.entwine.io/data/view.html?r=[%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/PA_WesternPA_1_2019/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/PA_WesternPA_2_2019/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/PA_WesternPA_4_2019/ept.json%22] WWW:LINK-1.0-http--link USGS 3D View Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer. 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: These are Digital Elevation Model (DEM) data for Pennsylvania as part of the required deliverables for the Western PA 2019 Lidar project. Class 2 (ground) LiDAR points in conjunction with the hydro breaklines were used to create a 1 meter hydro-flattened Raster Geographic Extent: 20 counties in Pennsylvania, PA_WesternPA_1 (Work Unit 186384) - approximately 6154 square miles This dataset covers part of Allegheny, Armstrong, Butler, Indiana, and Washington counties and the full counties of Cambria, Fayette, Greene, and Somerset. PA_WesternPA_2 (Work Unit 208661) - approximately 4866 square miles This dataset covers part of Allegheny, Armstrong, Butler, Clarion, Forest, Indiana, Mercer, Venango, and Washington counties and the full counties of Beaver, Jefferson, and Lawrence. PA_WesternPA_4 (Work Unit 210015) - approximately 3770 square miles This dataset covers part of Clarion, Forest, Indiana, Mercer, and Venango counties and the full counties of Crawford, Erie, and Warren. Dataset Description: The Western PA 2019 Lidar project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 2.1. The data were developed based on a horizontal projection/datum of NAD 1983 2011 UTM Zone 17N, Meter and vertical datum of NAVD88 Geoid12b, Meter. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to individual 1500 m x 1500 m tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 1500 m x 1500 m schema. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in winter 2019 and 2020, while no snow was on the ground 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, Quantum Spatial, Inc. utilized ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. Additional independent accuracy checkpoints, in Bare Earth and Urban landcovers, and in Tall Weeds categories, were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the GeoTIFF files hosted by USGS on Amazon Web Services. To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create intensity images, breaklines and raster DEMs. The purpose of these LiDAR data was to produce high accuracy 3D hydro-flattened digital elevation models (DEMs) with a 1 meter cell size. These raw LiDAR point cloud data were used to create classified LiDAR LAS files, intensity images, 3D breaklines, and hydro-flattened DEMs as necessary. Quantum Spatial, Inc., USGS 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 EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM) EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL 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 > PENNSYLVANIA 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 Allegheny County Armstrong County Beaver County Butler County Cambria County Clarion County Crawford County Erie County Fayette County Forest County Greene County Indiana County Jefferson County Lawrence County Mercer County Somerset County Venango County Warren County Washington County Westmoreland County place DEMs - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2019 - 2020 USGS QL2 Lidar DEM: Western PA [Data Date Range], https://www.fisheries.noaa.gov/inport/item/79559. 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 NOAA, the Office for Coastal Management or its partners. unclassified 2019 - 2020 USGS Lidar (QL2): Western PA NOAA/NMFS/EDM 69605 crossReference grid eng; US elevation MicroStation Connect; TerraScan Version 20.011; TerraModeler Version 20.004; GeoCue Version 2017.1.14.1; Esri ArcGIS 10.6; Global Mapper 19/20; RiProcess 1.8.5; Windows 10 Operating System \\point_cloud\tilecls\*.las -80.56 -78.35 39.6821393896 42.3 Dates of collection for PA_WesternPA_2 (Work Unit 208661). Includes part of Allegheny, Armstrong, Butler, Clarion, Forest, Indiana, Mercer, Venango, and Washington counties and the full counties of Beaver, Jefferson, and Lawrence. | Currentness: Ground Condition 2019-11-25 2020-03-22 Dates of collection for PA_WesternPA_4 (Work Unit 210015). Includes part of Clarion, Forest, Indiana, Mercer, and Venango counties and the full counties of Crawford, Erie, and Warren. | Currentness: Ground Condition 2020-01-07 2020-05-02 Dates of collection for PA_WesternPA_1 (Work Unit 186384). Includes part of Allegheny, Armstrong, Butler, Indiana, and Washington counties and the full counties of Cambria, Fayette, Greene, and Somerset. | Currentness: Ground Condition 2019-11-18 2020-03-09 Raster File Type = GeoTIFF; Bit Depth/Pixel Type = 32-bit float; Raster Cell Size = 1 meter; Interpolation or Resampling Technique = Triangulated Irregular Network (TIN), Linear Interpolation, Proprietary; Required Vertical Accuracy = 0.196 Zip Zip GeoTIFF 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 U.S. Geological Survey 12201 Sunrise Valley Drive Reston VA 20191 USA https://usgs.gov WWW:LINK-1.0-http--link USGS Home Home page for USGS information distributor https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=14076/details/14076 WWW:LINK-1.0-http--link Customized Download Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base. download https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/PA_WesternPA_2019_D20/ WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in GeoTIFF format, in UTM Zone 17N NAD83 (2011), meters coordinates, orthometric heights (Geoid12B) in meters. download dataset 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. USGS Determined DEM Vertical Accuracy: Non-Vegetated Vertical Accuracy (NVA) = 7.52 cm at 95% Confidence Level or 3.8 cm RMSE Vegetated Vertical Accuracy (VVA) = 16.84 cm at 95th Percentile Please refer to the USGS Project Report listed in the URL section of this metadata record. Completeness Report Datasets contain complete coverage of tiles. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. There are no void areas or missing data. The raw point cloud is of good quality and data pass Non-Vegetated Vertical Accuracy specifications. Conceptual Consistency Data cover the entire area specified for this project. The NOAA Office for Coastal Management (OCM) ingested references to the USGS GeoTIFF files that are hosted on Amazon Web Services (AWS), into the Digital Coast Data Access Viewer (DAV). The DAV accesses the raster data as it resides on AWS. Raw Data and Boresight Processing: The boresight for each lift was done individually as the solution may change slightly from lift to lift. The following steps describe the Raw Data Processing and Boresight process: 1) Technicians processed the raw data to LAS format flight lines using the final GPS/IMU solution. This LAS data set was used as source data for boresight. 2) Technicians first used Quantum Spatial, Inc. proprietary and commercial software to calculate initial boresight adjustment angles based on sample areas selected in the lift. These areas cover calibration flight lines collected in the lift, cross tie, and production flight lines. These areas are well distributed in the lift coverage and cover multiple terrain types that are necessary for boresight angle calculation. The technicians then analyzed the results and made any necessary additional adjustment until it was acceptable for the selected areas. 3) Once the boresight angle calculation was completed for the selected areas, the adjusted settings were applied to all of the flight lines of the lift and checked for consistency. The technicians utilized commercial and proprietary software packages to analyze how well flight line overlaps matched for the entire lift and adjusted as necessary until the results met the project specifications. 4) Once all lifts were completed with individual boresight adjustment, the technicians checked and corrected the vertical misalignment of all flight lines and also the matching between data and ground truth. The relative accuracy was less than or equal to 7 cm RMSEz within individual swaths and less than or equal to 10 cm RMSEz or within swath overlap (between adjacent swaths). 5) The technicians ran a final vertical accuracy check of the boresighted flight lines against the surveyed checkpoints after the z correction to ensure the requirement of NVA = 19.6 cm 95% Confidence Level (Required Accuracy) was met. 2020-01-01T00:00:00 LAS Point Classification: The point classification was performed as described below. The bare earth surface was manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface was finalized, it was then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) LiDAR data inside of the Lake Pond and Double Line Drain hydro-flattened breaklines were then classified to Water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 1 meter was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 20). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes. The overlap data was classified using standard LAS overlap bit. These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the withheld bit within various software packages. These processes were reviewed and accepted through numerous conference calls and pilot study areas. All data were manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper was used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth. Quantum Spatial, Inc. proprietary software was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information. 2020-01-01T00:00:00 Hydro-Flattened Raster DEM Processing: Class 2 (Ground) LiDAR points in conjunction with the hydro-breaklines were used to create a 1 meter hydro-flattened raster DEM. Using automated scripting routines in proprietary software, GeoTIFF files were created for each tile. Each surface was reviewed using Global Mapper to check for any surface anomalies or incorrect elevations found within the surface. The NOAA Office for Coastal Management (OCM) created references to the USGS GeoTIFF files that were ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the raster data as it resides on Amazon Web Services (AWS). These are the GeoTIFF files that are being accessed: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/PA_WesternPA_2019_D20/PA_WesternPA_1_2019/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/PA_WesternPA_2019_D20/PA_WesternPA_2_2019/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/PA_WesternPA_2019_D20/PA_WesternPA_4_2019/TIFF/ 2026-04-09T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor USGS AWS GeoTIFF Files - PA_WesternPA_1 USGS https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/PA_WesternPA_2019_D20/PA_WesternPA_1_2019/TIFF/ WWW:LINK-1.0-http--link USGS AWS GeoTIFF Files for PA_WesternPA_1 Source Citation URL information publisher USGS AWS GeoTIFF Files - PA_WesternPA_2 USGS https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/PA_WesternPA_2019_D20/PA_WesternPA_2_2019/TIFF/ WWW:LINK-1.0-http--link USGS AWS GeoTIFF Files for PA_WesternPA_2 Source Citation URL information publisher USGS AWS GeoTIFF Files - PA_WesternPA_4 USGS https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/PA_WesternPA_2019_D20/PA_WesternPA_4_2019/TIFF/ WWW:LINK-1.0-http--link USGS AWS GeoTIFF Files for PA_WesternPA_4 Source Citation URL information publisher