gov.noaa.nmfs.inport:64273 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) point 24380292728 NAD83(HARN) / UTM zone 18N2008-11-12publicationEuropean Petroleum Survey Grouphttps://apps.epsg.org/api/v1/CoordRefSystem/3748/export/?format=gmlurn:ogc:def:crs:EPSG:37486.18.3 2017 Maryland Lidar: Anne Arundel County, MD 2017_md_anne_arundel_m9234 2017 publication NOAA/NMFS/EDM 64273 https://www.fisheries.noaa.gov/inport/item/64273 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information 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 metadata record describes the lidar point cloud for the 2017 Anne Arundel LiDAR project covering approximately 450 square miles in Anne Arundel County in Maryland. This dataset meets QL1 accuracy and point density requirements. 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. To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments, and hydrologic modeling. The point clouds are suitable for 1 foot contour generation. USGS LiDAR Base Specification 1.2, QL1. State of Maryland 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 2026-05-04 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 unknown https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9234/supplemental/anne_arundel2017_extent_m9234.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 23.3 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA 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 ALS70 Bare Earth Contour Grid Ground points LAS Lidar Topography Water points laser mapping point cloud Anne Arundel Maryland United States theme MD Lidar - partner (no harvest) project InPort otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-05-04 from the NOAA system. Cite As: OCM Partners, [Date of Access]: 2017 Maryland Lidar: Anne Arundel County, MD [Data Date Range], https://www.fisheries.noaa.gov/inport/item/64273. 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 2026-05-04 from the NOAA system. Access Constraints: None otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-05-04 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 2026-05-04 from the NOAA system. Distribution Liability: The digital data have been tested and their documentation carefully reviewed. However, the client and its representatives make no warranty or representation, either expressed or implied, with respect to the digital data and their documentation, their quality, performance, merchantability, or fitness for a particular purpose. The digital data are distributed on "as is" basis, and the user assumes all risk to their quality, the results obtained from their use, and the performance of the data. In no event will the client be liable for any direct, indirect, special, incidental or consequential damages resulting from and defect in the State of Maryland or in their documentation. This disclaimer of warranty is exclusive and in lieu of all others, oral or written, express or implied. No agent or employee is authorized to make any modification, extension, or addition to this warranty. Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners unclassified vector .35 eng; US elevation Microsoft Windows 7; ESRI ArcCatalog 9.3.1.1850 -76.843043 -76.395212 38.711239 39.237272 | Currentness: Ground Condition 2017-03-02 2017-03-05 false eng false USGA Base Specification 1.2, QL1 meeting 19.6 cm NVA 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=9234/details/9234 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/geoid18/9234/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 Horizontal positional accuracy for the Anne Arundel LiDAR project is dependent upon the quality of the GPS/INS solution, sensor calibration and ground conditions at the time of data capture. The data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 1.0 meter RMSEx/RMSEy. Quantitative value: 1.0, Test that produced the valued: This value is computed by comparing ground control to a DEM derived from the classified LiDAR data and represents the RMSE of residuals on controls within the project area. Vertical Positional Accuracy For the DEM data derived from the classified point cloud, the NVA and VVA were computed. The vertical accuracy was tested with independent survey check points located in various terrain types within the project area. These check points were not used in the calibration or post processing of the lidar point cloud data. The survey check points were distributed throughout the block area. Specifications for this project require that the NVA be 19.6 cm or better @ 95 percent confidence level. Quantitative value: 0.081m RMSE, or 0.16m NVA @ 95 percent Confidence Level 0.087m RMSE, or 0.14m VVA @ 95th Percentile, Test that produced the value: The NVA was tested using 41 independent survey check points located in bare earth terrain types within the project area. The 41 independent check points contained all NVA points and were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control. This data set was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10cm RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz = 8.1cm, equating to +/- 16cm at 95% confidence level. The VVA was tested using 31 independent survey check points located in various vegetation terrain types within the project area. The 31 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control. This data set was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10cm RMSEz Vertical Accuracy Class. Actual VVA accuracy was found to be +/- 14cm at the 95th percentile. Completeness Report LiDAR data is collected for the project area. Post processing of the simultaneously acquired GPS/INS is performed and applied to the laser returns to output a point cloud in the specified project coordinate system and datums. The point cloud data is then subjected to automated classification routines to assign all points in the point cloud to ground, water, overlap and unclassified point classes. Anomalous laser returns that occur infrequently are removed entirely from the data set. Once clean bare earth points are established, all products are created. The products are then compared to the survey checkpoints. These accuracies must pass the NVA and VVA accuracy specifications. Conceptual Consistency LiDAR data is collected within the project area and processed. After all of the deliverables were created, the dataset was verified against control. Well-distributed control was collected for the project area. At selected locations throughout the site, accurate GPS coordinates and elevations are surveyed and the points are marked with targets. 2017-01-01T00:00:00 New LiDAR data is captured for the project area using a Leica ALS70 w/MPiA LiDAR instrument an integrated IPAS20 GPS/INS system mounted within a Aero Commander twin engine airplane. 2017-01-01T00:00:00 The airborne GPS data is post-processed in Intertial Explorer software and LEICA CloudPro software to determine the LiDAR sensor's angle and orientation in the terrain (project) coordinate system and datums during the survey. 2017-01-01T00:00:00 The post processed GPS/INS solution is applied to the raw lidar data to orient and project the data points into the project area reference system as an unclassified point cloud. 2017-01-01T00:00:00 The georeferenced lidar data is then classified and edited in Terrasolid Terrascan software. Data is classified to produce: Class 1: unclassified, Class 2: ground, Class 7: low point, Class 9: water, Class 10: ignored ground, Class 17: bridge deck, Class 18: high noise. 2017-01-01T00:00:00 The data was downloaded from Maryland iMAP (https://imap.maryland.gov) in LAZ format with compatibility mode. The following operations were done on the data: 1) converted from NAD83(HARN) Maryland state plane feet to NAD83(HARN) geographic decimal degrees. 2) converted from NAVD88(GEOID12b) feet to NAD83(HARN) ellispoid meters. 3) LAZ 1.2 compatibility mode to LAZ 1.4 native mode. 4) Points below -30 feet were removed. Data was then ingested into the Digital Coast Data Access Viewer for distribution. 2021-02-09T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor Source Contribution: The classified lidar point cloud is used to derive various data products such as, but not limited to, bare earth gridded DEM, triangulated irregular networks (TIN), contours, digital surface models (DSM). The output format is fully compliant LAS v1.4, Point Record Format 6 1200 Classified lidar Sanborn Map Company Inc. originator 2017 Source Contribution: Targeted ground control is used to create a digital control file and control report as well as QC check of LiDAR accuracy. Predefined points (NGS when available) within the project area are targeted. Ground control 2010-01-01 publication Sanborn Map Company Inc. originator 2017 Source Contribution: Aerial LiDAR and GPS/IMU data are recorded for the defined project area at an altitude, flight speed, scanner swath width and scanner pulse frequency to achieve the design goals of the project. LiDAR Data Sanborn Map Company Inc. originator 2017 Source Contribution: Post processed GPS/INS is applied to the lidar point data to georeference each point in the project coordinate system 1200 Post processed GPS/INS Sanborn Map Company Inc. originator 2017 Source Contribution: The post processed lidar data has been projected and oriented in the specified coordinate system as an un-classified point cloud. 1200 Post processed lidar Sanborn Map Company Inc. originator 2017 Source Contribution: The tile definition defines discreet non-overlapping rectangular areas used as cut lines to break up the large classified lidar dataset into smaller, more manageable data tiles. Each tile is 1800m by 1200m in dimension. 1200 Tile Definition State of Mayland originator 2017 The dataset has been mosaiced, reprojected, and clipped as needed from the original input files using PDAL and GDAL commands. 2026-05-04NOAA Office for Coastal Managementcoastal.info@noaa.govprocessor