gov.noaa.nmfs.inport:79342 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::3857 2023 USGS Lidar: DE Statewide and MD (Caroline, Dorchester, Kent and Talbot Counties) de2023_stwde_md_m13992_metadata 2023 creation 2026 publication NOAA/NMFS/EDM 79342 https://www.fisheries.noaa.gov/inport/item/79342 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/DE_Statewide_1_B23/ept.json WWW:LINK-1.0-http--link USGS Entwine Point Tile (EPT) - DE_Statewide_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://coast.noaa.gov/ WWW:LINK-1.0-http--link NOAA's Office for Coastal Management (OCM) website Information on the NOAA Office for Coastal Management (OCM) download https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/DE_Statewide_B23/USGS_DE_Statewide_B23_Project_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/StagedProducts/Elevation/metadata/DE_Statewide_B23/DE_Statewide_1_B23/reports/DE_Statewide_1_B23_WU_300433_UTM_LiDAR_Report.pdf WWW:LINK-1.0-http--link Lidar Report Link to the lidar report download https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/DE_Statewide_B23/ WWW:LINK-1.0-http--link USGS Additional Info Link to the reports, breaklines, metadata, and spatial metadata. download https://usgs.entwine.io/data/view.html?r=%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/DE_Statewide_1_B23%22 WWW:LINK-1.0-http--link 3D View (Potree USGS) 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 Original Product: These lidar data are processed Quality Level 1 (QL1) Classified LAS 1.4 files, formatted to 4779 individual 1500 m x 1500 m tiles; used to create 3D breaklines, hydro-flattened DEMs, hillshades, and spatial metadata such as the maximum surface height rasters and swath separation imagery as necessary. Original Dataset Geographic Extent: The state of Delaware and four counties of Maryland, including Kent, Talbot, Caroline, and Dorchester counties. Original Dataset Description: The Delaware 2023, Work Unit 300433 Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters for QL1 data. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification 2023, revision A. The data was developed based on a horizontal projection/datum of NAD83 (2011), UTM 18N, meters and vertical datum of NAVD88 (GEOID18), meters. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 4779 individual 1500 m x 1500 m tiles and as tiled bare earth DEMs; all tiled to the same 1500 m x 1500 m schema. Ground Conditions: Lidar was collected in the spring 2023, while no snow was on the ground and waterways were at low tide. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, a total of 197 checkpoints were used to calibrate the lidar to known ground locations established throughout the project area. A total of 110 Non-Vegetated Vertical Accuracy (NVA) points were used. A total of 87 Vegetated Vertical Accuracy (VVA) points were used. 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 Entwine Point Tiles (EPT) 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 hillshades, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 0.5 meter cell size. These lidar point cloud data were used to create hillshades, 3D breaklines, and hydro-flattened DEMs as necessary. USGS, SAM 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 > 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 > DELAWARE CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MARYLAND 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 Lidar - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2023 USGS Lidar: DE Statewide and MD (Caroline, Dorchester, Kent and Talbot Counties) [Data Date Range], https://www.fisheries.noaa.gov/inport/item/79342. 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. license To the extent possible under law, the U.S. Government has waived all copyright and related or neighboring rights to this dataset. 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 2023 USGS Lidar DEM: DE Statewide & MD (Caroline, Dorchester, Kent, and Talbot Counties) NOAA/NMFS/EDM 78580 crossReference vector eng; US elevation VQ-1560i; TerraScan v22.007; TerraModel v22.06; Global Mapper Pro v24; Windows 10 Pro -76.413317 -75.038626 38.109423 39.84639 | Currentness: Ground Condition 2023-03-17 | Currentness: Ground Condition 2023-03-18 | Currentness: Ground Condition 2023-03-19 | Currentness: Ground Condition 2023-03-20 | Currentness: Ground Condition 2023-03-26 | Currentness: Ground Condition 2023-03-27 | Currentness: Ground Condition 2023-03-28 | Currentness: Ground Condition 2023-03-29 | Currentness: Ground Condition 2023-03-30 | Currentness: Ground Condition 2023-03-31 | Currentness: Ground Condition 2023-04-02 | Currentness: Ground Condition 2023-04-05 | Currentness: Ground Condition 2023-04-06 | Currentness: Ground Condition 2023-04-11 | Currentness: Ground Condition 2023-04-13 | Currentness: Ground Condition 2023-05-11 USGS Contract No. 140G0223F0125 CONTRACTOR: SAM Lidar data were acquired and calibrated by SAM. All follow-up processing was completed by the prime contractor. Zip LAS/LAZ - LASer LAZ 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=13992/details/13992 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://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/DE_Statewide_B23/DE_Statewide_1_B23/LAZ/ WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in the original coordinate system. 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 of the National Standards for Spatial Data Accuracy (NSSDA) reporting standard where a theoretical point will fall within the obtained radius 95% of the time. Based on a flying altitude of 1372 meters, an IMU error of 0.0025 decimal degrees, and a GNSS positional error of 0.05 meters, this project was compiled to meet 0.08 meter horizontal accuracy at 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. USGS Determined Vertical Accuracy: Non-Vegetated Vertical Accuracy (NVA) = 4.21 cm RMSE Vegetated Vertical Accuracy (VVA) = 13.13 cm at the 95th Percentile 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 Data covers the entire area specified for this project. The NOAA Office for Coastal Management (OCM) ingested references to the USGS Entwine Point Tiles (EPT) hosted on Amazon Web Services (AWS) into the Digital Coast Data Access Viewer (DAV). The DAV accesses the point cloud as it resides on AWS under the usgs-lidar-public-container. 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 Terrascan v22.007 and Terramatch v22.008 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 technician then analyzed the results and made any necessary additional adjustment until it is 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 match 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 8 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 check points after the z correction to ensure the requirement of NVA = 19.6 cm 95% Confidence Level (Required Accuracy) was met. Point classification was performed according to USGS Lidar Base Specification 2023 rev. A, and breaklines were collected for water features. Bare earth DEMs were exported from the classified point cloud using collected breaklines for hydroflattening. 2023-05-01T00:00:00 LAS Point Classification: The point classification is performed as an automated process as described below. The bare earth surface is then manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface is finalized, it is 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 flattening breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 0.5 meters was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 20). All hydro breakline features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. These classes were created through automated processes only and were not verified for classification accuracy until visual inspection is complete. All data was 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. Global Mapper along with LP360 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. 2023-05-01T00:00:00 QL1 Data was tested at 0.263 meter nominal pulse spacing and at 14.457 points per square meter. The nominal pulse spacing was tested on classified tiled LAS using geometrically reliable first-return points. NPS was tested using Delaunay Triangulation that produced average point spacing between all nearest neighbors. 2023-05-01T00:00:00 Maximum Surface Height Rasters were produced as ancillary data from the classified lidar point cloud in order to evaluate the withheld bit flag proof of performance for points that cannot be reasonably interpreted as valid surface returns. These were produced using all returns, withheld flagged points excluded, and using the highest elevation point value from each pixel. These rasters are 32-bit, floating point format and delivered as GeoTIFF files per tile. Cell size of the MSHR is 0.5 meter. MSHR are generated from the point cloud data and will not be altered after creation nor will there be further maintenance on this product. 2024-10-16T00:00:00 Swath Separation Imagery was produced for the entire project area. Swath separation images use color-coding to illustrate differences in elevation (z-) values where swaths overlap. The color-coded images are semi-transparent and overlay the lidar intensity image. They are ancillary data used as visual aids to more easily identify regions within point cloud datasets that may have suspect interswath alignment or other geometric issues. Imagery was created using last returns with all classification and bit flags, except for noise and withheld bit flag are included. Images are derived from a TIN and have a 50% transparent RGB layer over lidar intensity. Color intervals are as follows for QL1 data: 0-8cm, green; 8-16cm, yellow; >16cm, red. These files were produced as GeoTIFF tiles using a cell size of 1 meter. SSI are generated from the point cloud data and will not be altered after creation nor will there be further maintenance on this product. 2024-10-16T00:00:00 Original point clouds in LAS/LAZ format were restructured as Entwine Point Tiles and stored on Amazon Web Services. The data were re-projected horizontally to WGS84 web mercator (EPSG 3857) and the vertical units of NAVD88 (Geoid18), meters were retained. U.S. Geological Survey processor The NOAA Office for Coastal Management (OCM) created references to the Entwine Point Tiles (EPT) that were ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the point cloud as it resides on Amazon Web Services (AWS) under the usgs-lidar-public container. These are the AWS URLs being accessed: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/DE_Statewide_1_B23/ept.json 2026-02-26T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor USGS AWS Entwine Point Tile (EPT) - DE_Statewide_1_B23 USGS https://s3-us-west-2.amazonaws.com/usgs-lidar-public/DE_Statewide_1_B23/ept.json WWW:LINK-1.0-http--link USGS AWS Entwine Point Tile (EPT) for DE_Statewide_1_B23 Source Citation URL information publisher