US Migrating
type: Agent

Digital Data
type: Distribution
access URL: https://doi.org/10.5066/F7610XCX
media type: application/http
description: Landing page for access to the data
format: XML
issued: 2022-07-07T16:01:34.182570
modified: 2025-11-21T00:24:50.912348

Original Metadata
type: Distribution
access URL: https://data.usgs.gov/datacatalog/metadata/USGS.0bd4692c-3a92-4663-b6e0-a5d4105d125e.xml
media type: text/xml
description: The metadata original format
format: XML
issued: 2022-07-07T16:01:34.182563
modified: 2025-11-21T00:24:50.911945

Delineated Coastal Cliff Transects Derived from Post-Hurricane Maria Lidar Elevation Data Collected from Puerto Rico: 2018
type: Dataset
contact point: Organization
  fn: Alexander Seymour
keyword: hurricanes-and-typhoons
keyword: vieques
keyword: geoss
keyword: geo
keyword: hazards
keyword: amerigeo
keyword: coastal-processes
keyword: shoreline-erosion
keyword: st-petersburg-coastal-and-marine-science-center
keyword: national
keyword: usgs
keyword: altimetry
keyword: coastal-and-marine-hazards-and-resources-program
keyword: bathymetry-and-elevation
keyword: effects-of-coastal-change
keyword: physical-habitats-and-geomorphology
keyword: geoscientificinformation
keyword: north-america
keyword: distributions
keyword: amerigeoss
keyword: culebra
keyword: storm-erosion
keyword: puerto-rico
keyword: ckan
keyword: u-s-geological-survey
keyword: united-states-of-america
keyword: cmhrp
keyword: ocean-sciences
keyword: marine-geology
keyword: oceans
keyword: elevation
keyword: spcmsc
keyword: environment
keyword: shoreline-accretion
keyword: topographic-mapping
keyword: united-states
theme: {geospatial}
description: 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.
issued: 2025-11-21T00:24:50.929732
modified: 20201130
spatial: Location