Kirsten J. Bendik
Alexander C. Seymour
Kara S. Doran
20210121
Delineated Coastal Cliff Transects Derived from Post-Hurricane Maria Lidar Elevation Data Collected from Puerto Rico: 2018
vector digital data
U.S. Geological Survey Data Release
doi:10.5066/F7610XCX
St. Petersburg, FL
U.S. Geological Survey
https://doi.org/10.5066/F7610XCX
The National Assessment of Coastal Change Hazards project aims to understand and forecast coastal landscape change. This dataset consists of delineated coastal cliff transects that may be used to assess the hazard posed by eroding coastal cliffs on the islands of Puerto Rico, Culebra, and Vieques. The delineation of cliff tops and toes can be used as an input into cliff hazard metrics and to measure overall cliff changes over time. Cliff tops and cliff toes were identified along three-dimensional (3D) transects using the Cliff Feature Delineation Tool (Seymour and others, 2020), which assigned coordinate locations (X, Y, Z) of cliff features over a 140,244-meter (m) stretch of the Puerto Rican coastline at 10-m intervals and output them as either polyline (cliff transects) or point (cliff top or toe) shapefiles. Feature delineation was preformed using post-Hurricane Maria (landfall was September 20, 2017) rasterized topobathy lidar elevation data collected by the U.S. Army Corps of Engineers and published by the National Oceanic and Atmospheric Administration National Centers for Environmental Information (2018) as bare earth digital elevation model (DEM) files. The delineation tool (Seymour and others, 2020) was used to generate 3D point features in Esri ArcGIS shapefile format representing the cliff transects, these files should be opened in a 3D geographic information system (GIS) viewer.
To provide data on the morphology of coastal cliffs in Puerto Rico and surrounding islands offshore of the east coast. Additional survey and data details are available from the U.S. Geological Survey Coastal and Marine Geoscience Data System (CMGDS) at https://cmgds.marine.usgs.gov/fan_info.php?fan=2018-307-DD.
20180703
20180817
ground condition
None planned
-67.275125
-65.239545
18.545633
17.919774
USGS Metadata Identifier
USGS:0bd4692c-3a92-4663-b6e0-a5d4105d125e
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
Data Categories for Marine Planning
distributions
bathymetry and elevation
physical habitats and geomorphology
Marine Realms Information Bank (MRIB) Keywords
effects of coastal change
shoreline accretion
shoreline erosion
storm erosion
topographic mapping
altimetry
hurricanes and typhoons
None
United States of America
Puerto Rico
Culebra
Vieques
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
Alexander Seymour
mailing and physical
600 4th Street South
Saint Petersburg
FL
33701
UNITED STATES
727-502-8122
727-502-8001
aseymour@usgs.gov
Microsoft Windows 10; Esri ArcGIS 10.7; Esri ArcGIS Pro 2.5.
Seymour, A.C., Hapke, C.J., and Warrick, J.
2020
Cliff Feature Delineation Tool and Baseline Builder Version 1.0
U.S. Geological Survey Open File Report 2020-1070, 54p.
doi:10.3133/ofr20201070
St.Petersburg, Florida
U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center
https://doi.org/10.3133/ofr20201070
Seymour, A.C., Hapke, C.J., and Warrick, J.
2020
Cliff Feature Delineation Tool and Baseline Builder Version 1.0
U.S. Geological Survey Software Release
doi:10.5066/P9UKW7PO
St. Petersburg, Florida
U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center
https://doi.org/10.5066/P9UKW7PO
Morphologic features were checked for Quality Assurance/Quality Control (QA/QC) in ArcGIS Pro.
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 of the cliff toe is represented only by the published horizontal error estimate (1 meter) of the lidar-derived DEM that was used to generate cliff features.
Vertical accuracy of the cliff toe is represented only by the published vertical error estimate (0.196 meters) of the lidar-derived DEM that was used to generate cliff features.
National Oceanic and Atmospheric Administration (NOAA)
U.S. Army Corps of Engineers (USACE)
Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX)
20180828
2018 USACE FEMA Topobathy Lidar DEM: Main Island, Culebra, and Vieques, Puerto Rico
https://www.fisheries.noaa.gov/inport/item/53098
Online digital data
20180703
20180817
The date when lidar surveys were conducted.
2018-307-DD
A lidar survey that was used to estimate cliff morphology variables.
The Cliff Feature Delineation Tool (Seymour and others, 2020) was used to extract cliff top and toe points at 10-m alongshore intervals wherever coastal cliffs were present along the Puerto Rico coastline. For more information on how cliff top and toe features were extracted, please see USGS Open-File Report 2020–1070 (Seymour and others, 2020). The process of delineating the cliff transect features began by using a 2018 post-Maria bare earth topobathy lidar DEM as the elevation input. The DEM downloaded from the NOAA NCEI site was a 32-bit GeoTiff raster image with a 1-m grid spacing. Horizontal positions were provided in geographic coordinates referenced to the World Geodetic System of 1984 (WGS84) Universal Transverse Mercator (UTM) Zone 20 North (20N) and vertical positions were referenced to the Puerto Rico Vertical Datum of 2002 (PRVD02). Baseline inputs were represented by Esri ArcGIS shoreline vectors or generated by the Cliff Feature Delineation Tool. A user parameterized tool iterated separately for regions of a cliff that had relatively similar morphology, in all cases following rules outlined in the Seymour and others (2020) user guide. The final file, CliffTransects_PuertoRico.shp, was output with horizontal positions and elevations remaining in their native projected coordinate reference systems. Outputs went through a QA/QC process in ArcGIS Pro and were edited, if needed.
20201019
Point
Point
12,918
Universal Transverse Mercator
20
0.9996
-63.0
0.0
500000.0
0.0
coordinate pair
0.6096
0.6096
Meter
D WGS 1984
WGS 1984
6378137.0
298.257223563
CliffTransects_PuertoRico.shp
Shapefile and associated attribute table comprised of cliff transect features delineated from post-Hurricane Maria topobathy lidar elevation data acquired on the islands of Puerto Rico, Culebra, and Vieques in 2018.
USGS
FID
The ObjectID field created by default by ArcGIS. Establishes a unique ID for each shapefile feature or table entry.
ESRI
0
12,917
Shape
Shape geometry field created by default by ArcGIS. Labels features' geometry type.
ESRI
Polyline ZM
Cliff Transect
USGS
FMF
The unique identifier per each processing run for the transect and also records the distance along the offshore baseline at which the transect was generated.
USGS
10
10960
Shape_Leng
The planar transect length.
USGS
26
305
meters
Start_Elev
The elevation at the seaward start of the transect, referenced to PRVD02.
USGS
-13.3656
21.2998
meters
END_ELEV
The elevation at the landward end of the transect, referenced to PRVD02.
USGS
-4.3418
76.1735
meters
BEARING
The compass bearing of the transect, measured from seaward start to landward end.
USGS
0.0509
359.9179
meters
Run
Records the processing region as well as the processing settings used in the Cliff Feature Delineation Tool to generate the transects.
USGS
Values recorded reflect multiple processing regions and various settings associated with numerous runs of the Cliff Feature Delineation Tool (Seymour and others, 2020). Different iterations correspond to particular sections of coastline and are recorded in text format.
TranLink
References transect line, which corresponds to generated cliff tops and toes.
USGS
Values recorded reflect the transect numbers and regional names that coincide with multiple processing regions and settings associated with numerous runs of the Cliff Feature Delineation Tool (Seymour and others, 2020). Different iterations correspond to particular sections of coastline and are recorded in text format.
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.
shapefile
Unzip using software such as WinZip, 7zip (PC users), or BetterZip (Mac users).
https://coastal.er.usgs.gov/data-release/doi-F7610XCX/data/CliffTransects_PuertoRico
none
20201130
U.S. Geological Survey
Kirsten J. Bendik
mailing and physical
600 4th Street South
Saint Petersburg
FL
33701
UNITED STATES
727-502-8034
727-502-8001
kbendik@contractor.usgs.gov
Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
local time