Coastal Topography--Northeast Atlantic Coast, Post-Hurricane Sandy, 2012: Lidar and digital elevation model (DEM) tile index

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Frequently anticipated questions:

What does this data set describe?

Title:
Coastal Topography--Northeast Atlantic Coast, Post-Hurricane Sandy, 2012: Lidar and digital elevation model (DEM) tile index
Abstract:
This data represents the tile index for lidar data collected for the U.S. Geological Survey in November 2012 following Hurricane Sandy, which made landfall in the eastern United States on October 29th, 2012. The lidar LAS and derived-digital elevation model (DEM) data are divided into these tiles and filenames match the tile number. The index shows the extent of data collection (portions of the coastline of New York, Delaware, Maryland, Virginia, and North Carolina) and provides tile names to aid in identifying files for data download.
Supplemental_Information:
The tile index follows U.S. National Grid (USSNG) reference map. More information on the USNG can be found here: http://www.fgdc.gov/usng
  1. How might this data set be cited?
    U.S. Geological Survey, 2013, Coastal Topography--Northeast Atlantic Coast, Post-Hurricane Sandy, 2012: Lidar and digital elevation model (DEM) tile index: U.S. Geological Survey Data Series 765, U.S. Geological Survey, St. Petersburg, FL.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -78.82552783
    East_Bounding_Coordinate: -72.69471375
    North_Bounding_Coordinate: 40.81276256
    South_Bounding_Coordinate: 34.55736585
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Calendar_Date: 05-Nov-2012
    Currentness_Reference:
    ground condition
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: vector digital data
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      This is a Vector data set. It contains the following vector data types (SDTS terminology):
      • G-polygon (587)
    2. What coordinate system is used to represent geographic features?
      The map projection used is Transverse Mercator.
      Projection parameters:
      Scale_Factor_at_Central_Meridian: 0.9996
      Longitude_of_Central_Meridian: -75.0
      Latitude_of_Projection_Origin: 0.0
      False_Easting: 500000.0
      False_Northing: 0.0
      Planar coordinates are encoded using coordinate pair
      Abscissae (x-coordinates) are specified to the nearest 0.000000002220024164500956
      Ordinates (y-coordinates) are specified to the nearest 0.000000002220024164500956
      Planar coordinates are specified in meters
      The horizontal datum used is D North American 1983.
      The ellipsoid used is GRS 1980.
      The semi-major axis of the ellipsoid used is 6378137.0.
      The flattening of the ellipsoid used is 1/298.257222101.
  7. How does the data set describe geographic features?
    Post_Sandy_Lidar_Tile_Index.shp
    Tile index showing the spatial extent and boundaries of lidar (LAS) and DEM data files (Source: USGS)
    FID
    Internal feature number. (Source: ESRI) Sequential unique whole numbers that are automatically generated.
    Shape
    Feature geometry. (Source: ESRI) Coordinates defining the features.
    Tile_Num
    Sequential unique whole number assigned to tiles (west-to-east, north-to-south) for identification. (Source: U.S. Geological Survey)
    Range of values
    Minimum:1
    Maximum:587
    Name
    Tile name described by US National Grid naming scheme. (Source: U.S. National Grid) The first 2 numbers in the filename represent UTM zone.
    Source
    Name of commercial agency that collected the data. (Source: U.S. Geological Survey) Text string defining the name of the company who collected the lidar data (either Woolpert, Inc. or Photo Science, Inc.)
    State
    State in which the data are located. (Source: Geographic Names Information System) A text string defining the state name.
    DEM_URL
    Web link to DEM data location. (Source: U.S. Geological Survey) DEM data are available in the U.S. Geological Survey pubs warehouse
    LAS_URL
    Web link to LAS data download location. (Source: U.S. Geological Survey) LAS data are available in the U.S. Geological Survey pubs warehouse
    Dune_URL
    Web link to dune feature data download location. (Source: U.S. Geological Survey) Dune and shoreline data are available in the U.S. Geological Survey pubs warehouse
    DATE
    General date of data collection. (Source: USGS) A text string that describes the date or date range in MM/DD/YYYY; where MM is the month, DD is the day, and YYYY is the year.

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • U.S. Geological Survey
  2. Who also contributed to the data set?
    Acknowledgment of the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, as a data source would be appreciated in products developed from these data, and such acknowledgment as is standard for citation and legal practices for data source is expected. Sharing of new data layers developed directly from these data would also be appreciated by the U.S. Geological Survey staff. Users should be aware that comparisons with other datasets for the same area from other time periods may be inaccurate due to inconsistencies resulting from changes in photointerpretation, mapping conventions, and digital processes over time. These data are not legal documents and are not to be used as such.
  3. To whom should users address questions about the data?
    Hilary Stockdon
    U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL
    Research Oceanographer
    600 4th Street South
    St. Petersburg, FL
    USA

    727 803-8747 (x3074) (voice)
    727 803-2031 (FAX)
    hstockdon@usgs.gov
    Hours_of_Service: M-F, 9:00-5:00 ET

Why was the data set created?

The purpose of this project was to derive shoreline, dune crest (Dhigh), and dune toe (Dlow) of a portion of the New York, Delaware, Maryland, Virginia, and North Carolina coastlines, post-Hurricane Sandy (October 2012 hurricane), for use as a management tool and to make these data available to natural-resource managers and research scientists.

How was the data set created?

  1. From what previous works were the data drawn?
  2. How were the data generated, processed, and modified?
    Date: 02-Nov-2012 (process 1 of 3)
    Tile Size: 1,500m x 1,500m.The tile file name was derived from the southwest corner of each tile. The tiles are named based on the US National Grid. Person who carried out this activity:
    Woolpert, Inc.
    Geospatial Services
    4454 Idea Center Blvd.
    Dayton, OH
    USA

    (937) 461-5660 (voice)
    (937) 461-0743 (FAX)
    Hours_of_Service: 8:00 a.m. to 5:00 p.m. Eastern Time
    Date: 24-Jan-2017 (process 2 of 3)
    Keywords section of metadata optimized for discovery in USGS Coastal and Marine Geology Data Catalog. Person who carried out this activity:
    U.S. Geological Survey
    Attn: Alan O. Allwardt
    Contractor -- Information Specialist
    2885 Mission Street
    Santa Cruz, CA

    831-460-7551 (voice)
    831-427-4748 (FAX)
    aallwardt@usgs.gov
    Date: 13-Oct-2020 (process 3 of 3)
    Added keywords section with USGS persistent identifier as theme keyword. Person who carried out this activity:
    U.S. Geological Survey
    Attn: VeeAnn A. Cross
    Marine Geologist
    384 Woods Hole Road
    Woods Hole, MA

    508-548-8700 x2251 (voice)
    508-457-2310 (FAX)
    vatnipp@usgs.gov
  3. What similar or related data should the user be aware of?
    U.S. Geological Survey, 2013, Coastal Topography--Northeast Atlantic Coast, Post-Hurricane Sandy, 2012: Lidar point-cloud data (LAS) AND Digital elevation model (DEM): Data Series 765, U.S. Geological Survey, St. Petersburg, FL.

    Online Links:

    Other_Citation_Details:
    The Tile index data set provides reference information for identifying the spatial extent of lidar point-cloud files (LAS) and file names for data download.

How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?
    The project area required lidar to be collected on 1 meter ground sample distance (GSD) or better and processed to meet a bare earth vertical accuracy of 12.5 centimeters RMSEz or better.
  2. How accurate are the geographic locations?
    Positional accuracy of the tile index was not determined.
  3. How accurate are the heights or depths?
  4. Where are the gaps in the data? What is missing?
    This Tile Index covers the data extent, which spans from Long Island, New York to Cape Hatteras, North Carolina. The state of New Jersey was collected using the EAARL-B sensor and that data will be published separately.
  5. How consistent are the relationships among the observations, including topology?
    The data was visually inspected by a GIS manager.

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?
Access_Constraints: None
Use_Constraints:
The U.S. Geological Survey and National Park Service request to be acknowledged as originators of these data in future products or derivative research.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL
    Attn: Hilary Stockdon
    Research Oceanographer
    600 4th Street South
    St. Petersburg, FL
    USA

    727 803-8747 (x3074) (voice)
    Hours_of_Service: M-F, 9:00-5:00 ET
  2. What's the catalog number I need to order this data set? DS 765
  3. What legal disclaimers am I supposed to read?
    Although these data have been processed successfully on a computer system at the USGS, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The USGS shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
  4. How can I download or order the data?
    • Availability in digital form:
      Data format: SHP; ZIP (version 1) The lidar tile index (Lidar_Tile_Index.shp) is in ArcGIS shapefile format compressed into a zip file with metadata.
      Network links: https://pubs.usgs.gov/ds/765/pubs765/extras/tile_extents/Lidar_Tile_Index.zip
    • Cost to order the data: None, if obtained online; otherwise, prices vary.

    • Special instructions:
      Publications are available from USGS Information Services, Box 25286, Federal Center, Denver, CO 80225-0046 (telephone: 1-888-ASK-USGS, e-mail: infoservices@usgs.gov).

Who wrote the metadata?

Dates:
Last modified: 13-Oct-2020
Metadata author:
Xan Fredericks
Cherokee Nation Technology Solutions, U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL
Lidar Validation and Processing Analyst
600 4th Street South
St. Petersburg, FL
USA

727 803-8747 (x3086) (voice)
afredericks@usgs.gov
Hours_of_Service: M-F, 8:00-4:00 ET
Metadata standard:
FGDC Content Standards for Digital Geospatial Metadata (FGDC-STD-001-1998)
This page is <https://cmgds.marine.usgs.gov/catalog/spcmsc/ds765_Lidar_Tile_Index_metadata.faq.html>
Generated by mp version 2.9.50 on Tue Sep 21 18:18:54 2021