Alexander Seymour
Alexander Seymour is a Physical Scientist at the St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida.
Science and Products
Beach Profile Data Collected From Sand Key Beach in Clearwater, Florida
This dataset, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a surveying backpack outfitted for surveying location and elevation data (XYZ) along pre-determi
National Assessment of Hurricane-Induced Coastal Erosion Hazards: Puerto Rico
These datasets contain information on the probabilities of hurricane-induced erosion (collision, inundation, and overwash) for each 100-meter (m) section of the Puerto Rico open-ocean coastline for category 1-5 hurricanes. The analysis is based on a storm-impact scaling model (Sallenger, 2000; https://www.jstor.org/stable/4300099) that uses observations of beach morphology combined with sophistica
Beach Profile Data Collected from Madeira Beach, Florida
This dataset, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center, provides beach profile data collected at Madeira Beach, Florida. Data were collected by a walking person equipped with a Global Positioning System receiver and a GPS antenna affixed to a surveying backpack. The horizontal position data are given in the Universal Transverse Mercator (UTM) projecte
Coastal Cliff Top and Toe Delineation Derived from Lidar for Puerto Rico: 2018
The National Assessment of Coastal Change Hazards project aims to understand and forecast coastal landscape change. This dataset delineates coastal cliff features (cliff tops, toes, and 3D elevation transects) to assess the hazard posed by eroding coastal cliffs in Puerto Rico, Culebra, and Vieques. The delineation of cliff tops and toes can be used as an input into cliff hazard metrics and to mea
Cliff Feature Delineation Tool and Baseline Builder version 1.0 user guide
Coastal cliffs constitute 80 percent of the world’s coastline, with seacliffs fronting a large proportion of the U.S. West Coast shoreline, particularly in California. Erosion of coastal cliffs can threaten infrastructure and human life, yet the spatial and temporal scope of cliff studies have been limited by cumbersome traditional methods that rely on the manual interpretation of seacliff feature
Authors
Alexander C. Seymour, Cheryl J. Hapke, Jonathan Warrick
Adaptive Topobathymetric Fusion Software Version 1.0
Software release for a topobathymetric DEM fusion approach. The operation, theory, and processes used in this software release can be used to fuse two topobathymetric digital elevation models (DEMs), creating seamless transitions around the two datasets' seamlines. This software heavily utilizes the arcpy python module, installation of ArcGIS Pro and a valid spatial analyst license is required.
Cliff Feature Delineation Tool and Baseline Builder, Version 1.0
The CFDT is an automated computer vision application designed to generate 3D line features representing the seacliff top, midpoint, and toe on high-relief coastal cliffs. The program also delineates 3D points on concavities and convexities across the cliff face (termed subsidiary features), which may represent talus deposits, secondary cliff tops, and secondary cliff toes. The tool package include
Science and Products
Beach Profile Data Collected From Sand Key Beach in Clearwater, Florida
This dataset, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a surveying backpack outfitted for surveying location and elevation data (XYZ) along pre-determi
National Assessment of Hurricane-Induced Coastal Erosion Hazards: Puerto Rico
These datasets contain information on the probabilities of hurricane-induced erosion (collision, inundation, and overwash) for each 100-meter (m) section of the Puerto Rico open-ocean coastline for category 1-5 hurricanes. The analysis is based on a storm-impact scaling model (Sallenger, 2000; https://www.jstor.org/stable/4300099) that uses observations of beach morphology combined with sophistica
Beach Profile Data Collected from Madeira Beach, Florida
This dataset, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center, provides beach profile data collected at Madeira Beach, Florida. Data were collected by a walking person equipped with a Global Positioning System receiver and a GPS antenna affixed to a surveying backpack. The horizontal position data are given in the Universal Transverse Mercator (UTM) projecte
Coastal Cliff Top and Toe Delineation Derived from Lidar for Puerto Rico: 2018
The National Assessment of Coastal Change Hazards project aims to understand and forecast coastal landscape change. This dataset delineates coastal cliff features (cliff tops, toes, and 3D elevation transects) to assess the hazard posed by eroding coastal cliffs in Puerto Rico, Culebra, and Vieques. The delineation of cliff tops and toes can be used as an input into cliff hazard metrics and to mea
Cliff Feature Delineation Tool and Baseline Builder version 1.0 user guide
Coastal cliffs constitute 80 percent of the world’s coastline, with seacliffs fronting a large proportion of the U.S. West Coast shoreline, particularly in California. Erosion of coastal cliffs can threaten infrastructure and human life, yet the spatial and temporal scope of cliff studies have been limited by cumbersome traditional methods that rely on the manual interpretation of seacliff feature
Authors
Alexander C. Seymour, Cheryl J. Hapke, Jonathan Warrick
Adaptive Topobathymetric Fusion Software Version 1.0
Software release for a topobathymetric DEM fusion approach. The operation, theory, and processes used in this software release can be used to fuse two topobathymetric digital elevation models (DEMs), creating seamless transitions around the two datasets' seamlines. This software heavily utilizes the arcpy python module, installation of ArcGIS Pro and a valid spatial analyst license is required.
Cliff Feature Delineation Tool and Baseline Builder, Version 1.0
The CFDT is an automated computer vision application designed to generate 3D line features representing the seacliff top, midpoint, and toe on high-relief coastal cliffs. The program also delineates 3D points on concavities and convexities across the cliff face (termed subsidiary features), which may represent talus deposits, secondary cliff tops, and secondary cliff toes. The tool package include