gov.noaa.nmfs.inport:64278 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 22729599420 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 2018 Maryland Lidar: Montgomery and Prince George's Counties, MD 2018 Montgomery Prince George's lidar m9235 2018-09-27 publication NOAA/NMFS/EDM 64278 https://www.fisheries.noaa.gov/inport/item/64278 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 Geographic Extent: Montgomery and Prince George's counties Maryland, covering approximately 1,110 square miles. Dataset Description: Montgomery and Prince George's counties project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83 (HARN), State Plane, Feet and vertical datum of NAVD88 (GEOID12B), Feet. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 1,413 individual 4000 ft x 6000 ft tiles. Ground Conditions: Lidar was collected in early to mid 2018, while no snow was on the ground and rivers were at or below normal levels. Sensor errors in mulitple locations were identified in processing, additonal acquisition on 7/20/2018 was completed to remedy the errors. 2016 lidar data was used with approval in a single area of restricted airspace. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Sanborn Map Company, Inc. established a total of 23 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 79 independent accuracy check points in Open Terrain and Urban landcovers were used to assess the vertical accuracy of the data. These check points were not used to calibrate or post process the data. 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 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 DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) 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. Sanborn Map Company, Inc.; 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 notPlanned https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9235/supplemental/montgomery_pg2017_extent_m9235.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 Lidar - partner (no harvest) project InPort 2021-02-10T00:00:00 There should be a survey report, but it's not found on the iMAP site. The original metadata for the point cloud would be nice too. Waters, Kirk user 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]: 2018 Maryland Lidar: Montgomery and Prince George's Counties, MD [Data Date Range], https://www.fisheries.noaa.gov/inport/item/64278. 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: 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 eng; US elevation -77.5409910258 -76.6589564904 38.53213522 39.3642127455 | Currentness: Ground Condition 2018-02-08 2018-09-27 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=9235/details/9235 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/geoid18/9235/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 Vertical Positional Accuracy The following references accuracy of a DEM derived from this point cloud and not the point cloud itself. The project specifications require the accuracy (ACCz) of the derived DEM be calculated and reported in two ways: 1. The required Vertical Accuracy is: 0.643 ft at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 0.328 ft in the "bare earth" and "urban" land cover classes. This is a required accuracy. The Vertical Accuracy was tested with 79 check points located in bare earth and urban (non-vegetated) areas. The check points were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. AccuracyZ has been tested to meet 0.643 ft or better Vertical Accuracy at 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines.Quantitative value: 0.298, Test that produced the value: Tested 0.298 feet at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The Vertical Accuracy of the DEM was calculated using 79 independent check points located in the Bare Earth and Urban land cover categories. 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 passes Non-Vegetated Vertical Accuracy specifications. Conceptual Consistency Data covers the entire area specified for this project. Lidar data was collected, processed, and classified by Sanborn, Inc., and delivered to Maryland-National Capital Park and Planning Commission (MNCPPC). Data were made available on the Maryland iMAP site. Metadata was only made available for the DEM product. 2018-08-05T00:00:00 Lidar point cloud data was downloaded from the Maryland iMAP site by NOAA OCM. The data was process to meet the standards for the Digital Coast Data Access Viewer. This included: 1) Change from compatibility mode LAZ to native LAS 1.4 mode LAZ. 2) Convert from Maryland State Plane HARN feet to NAD83(HARN) geographic coordinates. 3) Convert from NAVD88(Geoid12B) feet to NAD83(HARN) ellipsoid meters. 4) This metadata record was modified from the DEM metadata record to portray the point cloud. However, significant pieces of information on the point cloud are missing. During processing, one file in Prince George's County was found to be truncated in the original zip file from Maryland iMAP (PG_2018_BLK4/LAZ/320432.laz). 2021-02-10T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor Source Contribution: Source of the point cloud data downloaded on Feb 9, 2021. lidar data hosted by Maryland iMAP State of Maryland https://imap.maryland.gov/Pages/lidar-download-files.aspx WWW:LINK-1.0-http--link Maryland iMAP download page Source Citation URL information publisher 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