64274 2012_postsandy_usace_dem_m9012 Data Set Published / External 49404 DEMs - partner (no harvest) Project Completed 2013-05 These files contain a digital elevation model derived from lidar data. The lidar data were collected on November 16, 2012 and cover portions of the following counties: New Jersey - Bergen, Essex, Hudson, Middlesex, Monmouth, Ocean, Union New York - Bronx, Kings, Nassau, New York, Queens, Richmond, Suffolk, Westchester These data were collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system. CZMIL integrates a lidar sensor with topographic and bathymetric capabilities, a digital camera and a hyperspectral imager on a single remote sensing platform for use in coastal mapping and charting activities. Native lidar data is not generally in a format accessible to most Geographic Information Systems (GIS). Specialized in-house and commercial software packages are used to process the native lidar data into 3-dimensional positions that can be imported into GIS software for visualization and further analysis. Horizontal positions, provided in decimal degrees of latitude and longitude, are referenced to the North American Datum of 1983 (NAD83). Vertical positions are referenced to the NAD83 ellipsoid and provided in meters. The National Geodetic Survey's (NGS) GEOID12A model is used to transform the vertical positions from ellipsoid to orthometric heights referenced to the North American Vertical Datum of 1988 (NAVD88). Original contact information: Contact Org: JALBTCX Title: Data Production Manager Phone: 228-252-1121 Email: JALBTCX@usace.army.mil These data were collected as a part of the Post Sandy effort to depict the elevations above and below the water in the NY coastal zone. In areas of dense vegetation the points classified as ground might be incorrectly classified due to the inability of the laser to penetrate the canopy and reach the bare ground. Theme ISO 19115 Topic Category elevation Theme IWG-OCM Theme Light Detection and Ranging Theme National Coastal Mapping Program (NCMP) Theme U.S. Army Corps of Engineers (USACE) Temporal 2012 Temporal November Office for Coastal Management Charleston SC Data Set As Needed Any conclusions drawn from the analysis of this information are not the responsibility of USACE, JALBTCX, the Office for Coastal Management or its partners. Acknowledgement of US Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) would be appreciated in products derived from these data. Data Steward 2013-05 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Distributor 2013-05 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Metadata Contact 2013-05 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Point of Contact 2013-05 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Ground Condition -74.506526 -73.172868 41.009632 40.022907 Discrete 2012-11-16 1 Meter Yes 2 Point Yes Row 6945 Length 1 Meter Geographic 2D EPSG:6318 NAD83(2011) NAD83 (National Spatial Reference System 2011) GRS 1980 6378137 298.257222101 1 Geodetic Lattitude Lat degree north 2 Geodetic Longitude Lon degree east Unclassified This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=2478 ; None 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. These data depict the heights at the time of the survey and are only accurate for that time. https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9012 2013-05 Organization NOAA Office for Coastal Management Customized Download Create custom data files by choosing data area, map projection, file format, datum, etc. GeoTIFF GeoTIFF https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/USACE_post-sandy_NY-NJ_2012_9012/index.html 2013-05 Organization NOAA Office for Coastal Management Bulk Download Simple download of data files. GeoTIFF GeoTIFF https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2478/supplemental/2012_USACE_Post_Sandy_TopoBathy_Lidar_New_Jersey_and_New_York.kmz Browse Graphic Browse Graphic kmz This file shows the coverage of this data in New Jersey and New York. 2016-05-23 Date that the source FGDC record was last modified. 2017-11-14 Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details. 2018-02-08 Partial upload of Positional Accuracy fields only. 2018-03-13 Partial upload to move data access links to Distribution Info. Microsoft Windows 2000 Version 5.2 (Build 3790) Service Pack 2; ESRI ArcCatalog 9.3.0.1770 These data are not attributed. | Quantitative Value: N/A | Quantitative Test Explanation: These data are not attributed. The data positions were obtained using post processed KGPS methods. The horizontal accuracy of the data is better than plus or minus 0.75 m. ; Quantitative Value: 0.75 meters, Test that produced the value: RMSE 95% Conf. The data positions were obtained using post processed KGPS methods. The vertical accuracy of the data is 0.125 m RMSE. ; Quantitative Value: 0.125 meters, Test that produced the value: RMSE 95% Conf. Cloud Cover: Unknown This data set covers the spatial extent of bathymetric and topographic lidar data obtained during this survey. Differences between a DEM created from the lidar data representing bare ground and the ground truth data is unbiased and measures 0.0396 m RMSE. 1 These data were collected using the CZMIL system. It is owned and operated by the U.S. Army Corps of Engineers (USACE). The system collects lidar data at 10 kHz and RGB imagery at 2 Hz. A CASI-1500 hyperspectral line scanner is integrated with the system as well. Aircraft position, velocity and acceleration information are collected through a combination of Novatel and POS A/V 510 equipment. All raw data streams are transferred to the office for downloading and processing in CZMILs Hydro Fusion software. Aircraft position data are processed using POSPac software and the results are combined with the lidar data to produce 3-D positions for each lidar shot. Upon inspection and QA/QC in the software packages Fledermaus and PFM_ABE, anomalous data are flagged as invalid. NOAAs VDatum software then converts all valid data from ellipsoid to orthometric heights based on the NGS' GEOID12A model and exports valid lidar data as a series of unclassified ascii xyz files. 2012-12-23T00:00:00 2 The flightline LAS files are imported into GeoCue [V2012], which is a geospatial workflow production and management software tool employed by JALBTCX to perform and monitor production of data products. Upon import into GeoCue, the flightline LAS files are divided into a series of boxes, each of which are 1500 meters in length and width. A customized classification macro, built upon the TerraScan [V12] module within Microstation V8i, classifies valid topographic data as ground points (2) and unclassified points (1). Upon completion the macro, the classification results undergo quality control and any misclassified points are manually edited. In areas of dense vegetation the bare earth ground points might be incorrectly classified due to the inability of the laser to penetrate the canopy and reach the bare ground. In these areas, JALBTCX defaults to the algorithms ground surface instead of manually reclassifying those points. The final classification results are comprised of individual lidar points with classifications of ground (2) or unclassified (1). They are partitioned into a series of USGS quarter quad delivery boxes, one Classified LAS file per box. The format of the file is LAS version [1.2]. Data are classified as 1 (valid non-ground topographic data), 2 (valid ground topographic data). 2012-01-01T00:00:00 50096 Data Set Cross Reference point cloud used to derived this DEM gov.noaa.nmfs.inport:64274 Kirk Waters 2021-02-09T16:14:01 Kirk Waters 2024-01-10T19:11:01 2024-01-10 OCM Partners OCMP 1002 Public No No 2022-03-16 1 Year 2023-03-16