gov.noaa.nmfs.inport:51863 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) 2015 USGS Lidar: Sandy MD and PA MD_PA_Sandy_Lidar_LAS_1.2.xml 2015-10-30 publication NOAA/NMFS/EDM 51863 https://www.fisheries.noaa.gov/inport/item/51863 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/USGS_LPC_MD_PA_SandySupp_2014_LAS_2016/ept.json WWW:LINK-1.0-http--link USGS Entwine Point Tile (EPT) 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/Sandy_Supplemental_MD_PA_QL2_LiDAR/MD-PA_SandySupp_2014/reports/Lidar_Sandy%20Supplemental_MDPA%20QL2_Lidar.pdf WWW:LINK-1.0-http--link Lidar Report Link to the lidar report. download https://usgs.entwine.io/data/view.html?r=https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_MD_PA_SandySupp_2014_LAS_2016/ept.json 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 http://imap.maryland.gov/Pages/lidar.aspx WWW:LINK-1.0-http--link Maryland iMAP site Origination location of the data. 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 https://coast.noaa.gov/digitalcoast/data/home.html WWW:LINK-1.0-http--link NOAA's Office for Coastal Management (OCM) Digital Coast Data section The website provides not only coastal data, but also the tools, training, and information needed to make these data truly useful. Content comes from many sources, all of which are vetted by NOAA. download MD/PA Sandy Supplemental Lidar Data Acquisition and Processing Production Task USGS Contract No. G10PC00057 Task Order No. G14PD00397 Woolpert Order No. 74333 CONTRACTOR: Woolpert, Inc. This task is for a high resolution data set of lidar covering approximately 1,845 square miles. The lidar data was acquired and processed under the requirements identified in this task order. 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 0.7 meters. The final products include classified LAS, one (1) meter pixel raster DEMs of the bare-earth surface in ERDAS IMG Format, and 8-bit intensity images. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, control data, tile index, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format, and LAS swath data. Ground conditions: Water at normal levels; no unusual inundation; no snow; leaf off. Coastal tiles 18SVH065720 and 8SVH095690 contain no lidar points as they exist completely in water. A DEM IMG was generated for these two tiles as the digitized hydro breakline assumed the data extent in the area. As such only 2568 LAS and Intensity files will be delivered along with 2570 DEM IMG's. The purpose of this project is for lidar mapping services in support of the USGS for task name MD/PA Sandy Supplemental Lidar Task Order USGS, Woolpert 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 https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8488/supplemental/2015_MD-PA_Sandy_area.kmz This graphic displays the footprint for this lidar data set. KML 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 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 beach erosion theme Lidar - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2015 USGS Lidar: Sandy MD and PA [Data Date Range], https://www.fisheries.noaa.gov/inport/item/51863. 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 USGS, USDA NRCS, NOAA, the Office for Coastal Management or its partners. unclassified 2015 USGS Lidar DEM: Sandy MD and PA NOAA/NMFS/EDM 75314 crossReference vector .7 eng; US elevation Microsoft Windows 7 Version 6.1 (Build 7600); ArcMap 10.2; ArcCatalog 10.2; TerraScan ver. 15.001; TerraModeler ver. 15.001; Geocue 2014.1.21; LP360 2014.1. Approximate size of entire delivery dataset = 2.0TB -76.347352 -75.755154 38.578482 39.3835 | Currentness: Ground Condition 2014-12-07 | Currentness: Ground Condition 2014-12-15 | Currentness: Ground Condition 2014-12-17 | Currentness: Ground Condition 2014-12-18 | Currentness: Ground Condition 2014-12-19 | Currentness: Ground Condition 2014-12-20 | Currentness: Ground Condition 2014-12-21 | Currentness: Ground Condition 2014-12-26 | Currentness: Ground Condition 2014-12-27 | Currentness: Ground Condition 2014-12-29 | Currentness: Ground Condition 2014-12-30 | Currentness: Ground Condition 2014-12-31 | Currentness: Ground Condition 2015-01-02 Multiple formats 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=8488 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 https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8488/index.html WWW:LINK-1.0-http--link Bulk Download Bulk download of data files. download dataset Horizontal Positional Accuracy Compiled to meet 1.182 meters - (Kent(MD) & Talbot(MD)), 1.36 meters - (Carroll(MD), Baltimore(MD) & Chester(PA)) horizontal accuracy at 95 percent confidence level. Qualitative value: 1.182 / 1.36 meters, Test that produced the valued: Lidar system specifications are available in the project report Vertical Positional Accuracy LAS data covering the USGS MD-PA Sandy Lidar 0.7 meter NPS Lidar Task Order was compared to independent 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 independent supplemental points from categories: Bare Earth Open Terrain, Urban, Tall Weeds/Crops, Brush Lands and Trees, and Forested and Fully Grown. Raw LAS Swath Fundamental Vertical Accuracy (FVA) Tested 0.168 meters fundamental vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.079 meters (RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. Bare-Earth DEM Fundamental Vertical Accuracy (FVA) Tested 0.156 meters fundamental vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.08 meters (RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines.Qualitative value:0.168 meters, Test that produced the value: Raw LAS Swath Fundamental Vertical Accuracy (FVA) Tested 0.168 meters fundamental vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.086 (RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the TIN using all points. Completeness Report The lidar data is visually inspected for completeness to ensure that are no void areas or missing data. Conceptual Consistency All formatted data cover the entire area specified for this project and are validated using a combination of commercial lidar processing software, GIS software, and proprietary programs to ensure proper formatting and loading prior to delivery. Using two Leica ALS70 (lidar) systems on board a Cessna 310 and Cessna 404 aircraft respectively, high density data, at a nominal pulse spacing (NPS) of 0.7 meters, were collected for this task order (approximately 1,813 square miles). Leica Specs - For Kent & Talbot (MD): AGL = 1,981 meters - Aircraft Speed = 150 Knots, Field of View (Full) = 40 degrees, Pulse Rate = 272 kHz, Scan Rate = 41.5 Hz, with an average side lap of 25%. Multiple returns were recorded for each laser pulse along with an intensity value for each return. For Carroll & Baltimore (MD), Chester (PA): AGL = 2,286 meters - Aircraft Speed = 150 Knots, Field of View (Full) = 32 degrees, Pulse Rate = 239 kHz, Scan Rate = 40 Hz, with an average side lap of 25%. Multiple returns were recorded for each laser pulse along with an intensity value for each return.Seventeen (17) missions were flown between December 7, 2014 and January 2, 2015. Five (5) Global Navigation Satellite System (GNSS) Base Stations were used in support of the lidar data acquisition. Specific information regarding latitude, longitude, and ellipsoid height to the L1 phase center is included in the lidar processing report. The geoid used to reduce satellite derived elevations to orthometric heights was GEOID12A. Data for the task order is referenced to the UTM Zone 18N, North American Datum of 1983 (2011), and NAVD88, in meters. 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. 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 last returns. The ALS70 calibration and system performance is verified on a periodic basis using Woolpert's calibration range. The calibration range consists of a large building and runway. The edges of the building and control points along the runway have been located using conventional survey methods. Inertial measurement unit (IMU) misalignment angles and horizontal accuracy are calculated by comparing the position of the building edges between opposing flight lines. The scanner scale factor and vertical accuracy is calculated through comparison of lidar data against control points along the runway. 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. 2014-12-07T00:00:00 The field crews utilized VRS RTK GPS by logging into the KeyNet RTK GPS Network to obtain real time corrections of the collected GPS data. This is a technique used in land surveying based on the use of carrier phase measurements of the GPS and GLONASS signals where a network calculated reference station provides the real-time corrections, providing up to centimeter-level accuracy. This methodology allowed for efficient survey grade observations for sensor calibrations and ground-truthing. Woolpert utilized a single Trimble Navigation R8 dual-frequency geodetic GPS receiver at the rover end of the vector for this task. The survey was conducted using a 1-second epoch rate, in a fixed solution RTK mode with each GPS session lasting 120 epochs to 180 epochs each. The network solution was verified by collecting 180 epoch data on NGS establish control points. 2015-01-14T00:00:00 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 Default (Class 1), Ground (Class 2), Noise (Class 7), Water (Class 9), Ignored Ground (Class 10), Overlap Default (Class 17) and Overlap Ground (Class 18). The bare-earth (Class 2 - Ground) lidar points underwent a manual QA/QC step to verify the quality of the DEM as well as a peer-based QC review. This included a review of the DEM surface to remove artifacts and ensure topographic quality. Classification of water (class 9) and ignored ground (class 10) was completed via the use of the hydrologic breaklines collected for the hydro-flattening phase. The overlap classes were determined by first identifying the overlapping areas and reclassifying the LAS data by offset from a corridor. This allows the returns located on the edge of the swath to be removed from the bare earth coverage in an effort to produce a more uniform data density. The returns determined to be overlap including overlap default, ground, water, and ignored ground are then applied an overlap flag and reclassified to their respective standard classification value.. The surveyed ground control points are used to make vertical adjustments to the data set and to perform the accuracy checks and statistical analysis of the lidar dataset. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project area. The resulting deliverables for this task order consist of classified LAS file in LAS 1.2 format, Raw Swath LAS files in LAS 1.2 format, 1 meter pixel size DEM files in ERDAS IMG format, 1 meter pixel size 8-bit Intensity files in GeoTIFF format, and Hydrologic Breakline data in ESRI shape file format. 2014-12-08T00:00:00 Point cloud data were downloaded from Maryland iMAP in LAZ format, UTM 18, NAVD88 (Geoid12a) meters in October 2017. Data were reprojected to geographic coordinates and reduced to ellipsoid heights. Data were then ingested into the Digital Coast Data Access Viewer. 2018-03-06T00:00:00 Office for Coastal Management processor Source Contribution: This data set is the project specified acquired point cloud data. Lidar acquisition 2015-10-30 publication 2014-12-07 Source Contribution: This data set is the project specified lidar deliverables. Lidar deliverable processing 2015-10-30 publication 2014-12-08 Source Contribution: This data set is the project specified acquired ground control and QAQC control data. Survey Control Acquistion 2015-10-30 publication 2015-01-14