Kara S. Doran
Joseph W. Long
Hilary F. Stockdon
Justin J. Birchler
Matthew W. Hardy
Miguel Loubriel Torres
20230822
2001 Gulf Coast USGS/NASA ATM Lidar-Derived Dune Crest, Toe and Shoreline
2.0
tabular digital data
Kara S. Doran
Joseph W. Long
Justin J. Birchler
Owen T. Brenner
Matthew W. Hardy
Karen L.M. Morgan
Hilary F. Stockdon
Miguel Loubriel Torres
20170805
Lidar-derived Beach Morphology (Dune Crest, Dune Toe, and Shoreline) for U.S. Sandy Coastlines
5.0
U.S. Geological Survey data release
doi:10.5066/F7GF0S0Z
St. Petersburg, Florida
U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center
https://doi.org/10.5066/F7GF0S0Z
The storm-induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards (NACCH) project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Light detection and ranging (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 2001 Gulf Coast U.S. Geological Survey/National Aeronautics and Space Administration (USGS/NASA) Airborne Topographic Mapper (ATM) 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) 01LTS02; additional survey details are available on the Coastal and Marine Geoscience Data Systems (CMGDS), at https://cmgds.marine.usgs.gov/fan_info.php?fan=01LTS02.
20010909
20011013
ground condition
None planned
-97.1412
-84.3337
30.3977
27.7179
USGS Metadata Identifier
USGS:271fa38d-91c8-4a11-a243-2608500bdb46
None
U.S. Geological Survey
USGS
St. Petersburg Coastal and Marine Science Center
Coastal and Marine Hazards and Resources Program
CMHRP
SPCMSC
ISO 19115 Topic Category
geoscientificInformation
elevation
environment
oceans
USGS Thesaurus
hazards
marine geology
ocean sciences
coastal processes
lidar
geomorphology
Geographic Names Information System (GNIS)
Gulf of Mexico
Texas
Louisiana
Mississippi
Alabama
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 F. 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 ArcMap 10.0.4.4000; MATLAB 2021a
Stockdon, H.F., Doran, K.J., Thompson, D.M., Sopkin, K.L., Plant, N.G., and Sallenger, A.H.
20120501
National Assessment of Hurricane-Induced Coastal Erosion Hazards: Gulf of Mexico
vector digital data
U.S. Geological Survey Open-File Report
2012-1084
Reston, VA
U.S. Geological Survey
https://doi.org/10.3133/ofr20121084
Morphologic features were reviewed for quality assurance/quality control (QA/QC) in ArcMap and edited in MATLAB, as needed. Gaps and anomalies in the data result from data coverage or QA/QC procedures, which are detailed in Stockdon and others (2012).
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. Horizontal coordinates were projected to the World Geodetic System of 1984 (WGS84) coordinate system with a resolution of 10 meters (m) in the longshore direction and 2.5 m in the cross-shore direction.
Vertical accuracy is determined for each dune crest and toe value based upon the scatter of data in the lidar grid cell. Vertical coordinates were projected to the North American Vertical Datum of 1988 (NAVD88) coordinates system with a resolution of 10 centimeters.
United States Geological Survey (USGS), National Aeronautics & Space Administration (NASA)
20160523
2001 USGS/NASA Airborne Topographic Mapper (ATM) Lidar: Coastal Alabama, Florida, Louisiana, Mississippi, Texas
https://www.fisheries.noaa.gov/inport/item/50098
Online digital data
20010909
20011013
ground condition
01LTS02
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 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 were extracted from the elevation grid in MATLAB every 10 m alongshore (each grid row is a profile). For more details on feature extraction see Stockdon and others (2012). The dataset was then converted to a comma-separated values file (.csv) for publication in this data release (Doran and others, 2017).
01LTS02
2016
01LTS02_morphology.csv
Version 5.0 update: Some data points were originally reported in the wrong geographic location. These erroneous data points were corrected by re-projecting into Universal Transverse Mercator (UTM) Easting and Northing coordinates using corrected UTM Zone 16N and then converting back to geographic coordinates (WGS84) using MATLAB (version 2021a). The dataset was then re-converted back into a comma-separated values file (.csv) for publication in this data release (Doran and others, 2017). Please see the version_history.txt file for more information.
2023
01LTS02_morphology.csv
Point
Point
281514
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
01LTS02_morphology.csv
Dune crest, toe and shoreline, beach width and mean beach slope. See the accompanying data dictionary (Data dictionary for lidar.docx) for more details about the numbering system for the state, segment, and profile fields.
USGS
state
State segment file identification (ID) number.
USGS
1
6
segment
Segment ID number
USGS
1
121
profile
Grid row number corresponding to a cross-shore profile location.
USGS
1
4823
lon
Feature location longitude (WGS84).
USGS
-97.1412
-84.3337
decimal degrees
999
Null value
USGS
lat
Feature location latitude (WGS84).
USGS
27.7179
30.3977
decimal degrees
999
Null value
USGS
x
Cross-shore feature location.
USGS
-753.737
756.3588
meters
999
Null value
USGS
z
Feature elevation (NAVD88). For shorelines, it is the mean-high water elevation.
USGS
0.0645
17.7854
meters
999
Null value
USGS
x_err
95% confidence interval for the cross-shore shoreline position (NAVD88).
USGS
0
3.8442
meters
999
Null value
USGS
z_err
Root mean squared vertical error of dune crest (NAVD88).
USGS
0
6.3206
meters
999
Null value
USGS
beach_width
Distance between dune toe and shoreline (NAVD88).
USGS
2.2371
667.0741
meters
999
Null value
USGS
slope
Mean beach slope calculated between dune toe and shoreline (NAVD88).
USGS
0.0005
0.4147
radians
999
Null value
USGS
feature_type
An identifier for the type of feature in the table entry.
USGS
DC
Dune Crest
USGS
DT
Dune Toe
USGS
SL
Shoreline
USGS
The detailed attribute descriptions for the state, segment, and profile fields are included in an accompanying data dictionary (Data dictionary for lidar.docx). These metadata are not complete without this file.
The entity and attribute information were generated by the individual and/or agency identified as the originator of the dataset. Please review the rest of the metadata record for additional details and information.
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
01LTS02_morphology.csv
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.
comma-delimited text
The data download file is compressed and must be unzipped using software such as WinZip, 7zip, Peazip or pkUnzip before use.
https://coastal.er.usgs.gov/data-release/doi-F7GF0S0Z/data/01LTS02_morphology.zip
none
20230822
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