Kara S. Doran
Justin J. Birchler
Kirsten J. Bendik
20191210
2018 USGS Florida Panhandle Post-Michael Lidar-derived Dune Crest, Toe, and Shoreline
U.S. Geological Survey Data Release
doi:10.5066/F7GF0S0Z
St. Petersburg, FL
U.S. Geological Survey
https://doi.org/10.5066/F7GF0S0Z
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 2018 United States Army Corps of Engineers (USACE) and Federal Emergency Management Agency (FEMA) Florida Panhandle Post Hurricane Michael topobathymetric (topobathy) 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.
To provide data on the morphology of U.S. sandy beaches. Data were collected during USGS field activity number (FAN) 2018-692-DD; additional survey details are available at http://cmgds.marine.usgs.gov/fan_info.php?fan=2018-692-DD.[WB(N2]
20181024
20181106
ground condition
None planned
-87.51512
-84.333506
30.39966
29.587354
None
U.S. Geological Survey
USGS
St. Petersburg Coastal and Marine Science Center
Coastal and Marine Geology Program
CMGP
SPCMSC
ISO 19115 Topic Category
geoscientificInformation
elevation
environment
oceans
USGS Thesaurus
hazards
marine geology
ocean sciences
coastal processes
None
United States of America
Gulf of Mexico
Florida
None
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.
U.S. Geological Survey
Hilary Stockdon
mailing and physical
600 4th Street South
Saint Petersburg
FL
33701
UNITED STATES
727-502-8074
727-502-8001
hstockdon@usgs.gov
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. Gaps and anomalies in the data result from data coverage or QA/QC procedures which are detailed in this publication: [WB(N4]https://pubs.usgs.gov/of/2012/1084/
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.
United States Army Corps of Engineers (USACE)
Federal Emergency Management Agency (FEMA)
20181108
2018 USACE FEMA Post-Michael Topobathy Lidar: Florida Panhandle Point Cloud files with Orthometric Vertical Datum North American Vertical Datum of 1988 (NAVD88) using GEOID12B
https://coast.noaa.gov/htdata/lidar2_z/geoid12b/data/8625/
Online digital data
20181024
20181104
The date when lidar surveys were collected.
2018-692-DD
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/.
Not Complete
Point
point
111399
0.0197843295
0.0229959585
Decimal Degrees
D WGS 1984
WGS 1984
6378137.0
298.2572235
North American Vertical Datum of 1988
0.0001
meter
Attribute values
2018-692-DD-morphology.csv
Dune crest, toe and shoreline, beach width and mean beach slope.
USGS
state
State segment file identification (ID) number. See data dictionary for details of the numbering system.
USGS
6
6
segment
Segment ID number
USGS
1
81
profile
Grid row number corresponding to a cross-shore profile location.
USGS
1
2706
lon
Feature location longitude (WGS84).
USGS
-87.51512
-84.333506
decimal degrees
999
Null value
USGS
lat
Feature location latitude (WGS84).
USGS
29.587354
30.39966
decimal degrees
999
Null value
USGS
x
Cross-shore feature location.
USGS
-1137.1409
356.6635
meters
999
Null value
USGS
z
Feature elevation (NAVD88). For shorelines, it is the mean-high water elevation.
USGS
0.23
15.5662
meters
999
Null value
USGS
x_err
95% confidence interval for the cross-shore shoreline position (NAVD88).
USGS
0
1.7616
meters
999
Null value
USGS
z_err
Root mean squared vertical error of dune crest (NAVD88).
USGS
0.011
2.6855
meters
999
Null value
USGS
beach_width
Distance between dune toe and shoreline (NAVD88).
USGS
6.0114
531.3966
meters
999
Null value
USGS
slope
Mean beach slope calculated between dune toe and shoreline (NAVD88).
USGS
0.0019
0.2429
radians
999
Null value
USGS
feature_type
An identifier for the type of feature in the table entry.
USGS
DC, DT, SL
Dune Crest, Dune Toe, Shoreline
USGS
U.S. Geological Survey
Kara S. Doran
mailing and physical
600 4th Street South
Saint Petersburg
FL
33701
727-502-8117
727-502-8001
kdoran@usgs.gov
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.
ASCII
none
https://coastal.er.usgs.gov/data-release/doi-F7GF0S0Z/data/2018-692-DD_morphology.zip
none
20191210
U.S. Geological Survey
Kara S. Doran
mailing and physical
600 4th Street South
Saint Petersburg
FL
33701
UNITED STATES
727-502-8117
727-502-8001
kdoran@usgs.gov
Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
local time