The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such as dune crest, toe and shoreline help define the vulnerability of the beach to storm impacts. This dataset defines the elevation and position of the seaward-most dune crest and toe and the mean high water shoreline derived from the 2005 Fire Island USGS lidar survey. Beach width is included and is defined as the distance between the dune toe and shoreline along a cross-shore profile. The beach slope is calculated using this beach width and the elevation of the shoreline and dune toe.
Theme_Keyword_Thesaurus:None Theme_Keyword:U.S. Geological Survey Theme_Keyword:USGS Theme_Keyword:St. Petersburg Coastal and Marine Science Center Theme_Keyword:Coastal and Marine Geology Program Theme_Keyword:CMGP Theme_Keyword:SPCMSC
Place_Keyword_Thesaurus:None Place_Keyword:United States of America Place_Keyword:Atlantic Ocean Place_Keyword:New York
Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. The U.S. Geological Survey requests to be acknowledged as originators of the data in future products or derivative research.
Microsoft Windows 7 Version 6.1 (Build 7600); Esri ArcGIS 10.0.4.4000; MATLAB 2014a
Morphologic features are QA/QC'd in ArcMap and edited in MATLAB, if needed.
This dataset is considered complete for the information presented as described in the abstract section. Users are advised to read the rest of the metadata record carefully for additional details.
Horizontal accuracy is estimated for shorelines only by calculating the 95% confidence interval of the regression line through the shoreline position and is dependent on foreshore slope, scatter in the lidar data points, and specified lidar point uncertainty.
Vertical accuracy is determined for each dune crest and toe value based upon the scatter of data in the lidar grid cell.
Originator:National Oceanic and Atmospheric Administration (NOAA) Originator:National Aeronautics and Space Administration (NASA) Originator:United States Geological Survey (USGS) Publication_Date:2006 Title:EAARL Bare Earth Topography—Fire Island National Seashore Online_Linkage:https://doi.org/10.3133/ofr20061384
Type_of_Source_Media:Online digital data Source_Time_Period_of_Content:
Source_Currentness_Reference:The date when lidar surveys were collected.
A lidar survey that was used to estimate dune morphology variables.
Elevation data points from the lidar survey were interpolated in MATLAB 2014a to a gridded domain (segment) that was rotated parallel to the shoreline and had a resolution of 10 meters (m) in the longshore direction and 2.5 m in the cross-shore direction. The interpolation method applies spatial filtering with a Hanning window that is twice as wide as the grid resolution. Dune crest, toe and shoreline are extracted from the elevation grid in MATLAB every 10 m alongshore (each grid row is a profile). For details on feature extraction see: http://pubs.usgs.gov/of/2012/1084/.
Added keywords section with USGS persistent identifier as theme keyword.
Contact_Organization:U.S. Geological Survey Contact_Person:VeeAnn A. Cross
This digital publication was prepared by an agency of the United States Government. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, nor shall the act of distribution imply any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof.