Software

The Digital Shoreline Analysis System (version 6) is a stand-alone desktop application that compliments a Geographic Information System (GIS). The DSAS software requires users to input a reference baseline and compilation of shoreline positions to generate measurement transects and shoreline intersections used to calculate rate-of-change statistics. DSAS provides an automated method for

A Python API for efficient reformatting and quality assessment of binary waveforms and metadata from USGS rapid-response ocean-bottom seismographs (RROBS). Primary features: 1. Waveform data: Reads binary waveform data into obspy.Stream objects, providing full ObsPy functionality, including writing to common seismic data formats (e.g., MiniSEED, SEG-Y); 2. Clock corrections...

The Digital Shoreline Analysis System (version 6) is a stand-alone desktop application that complements a Geographic Information System (GIS). The DSAS software requires users to input a reference baseline and compilation of shoreline positions to generate measurement transects and shoreline intersections used to calculate rate-of-change statistics. DSAS provides an automated method for...

Matlab m-files that were used to generate performance tests and hindcasts for geomorphologic characteristics and piping plover habitat probabilities for Fire Island New York

The Digital Shoreline Analysis System version 5.1 software is an add-in to Esri ArcGIS Desktop version 10.4–10.7 that enables a user to calculate rate-of-change statistics from a time series of vector shoreline positions.

The Coupled- Ocean- Atmosphere- Wave- Sediment Transport ( COAWST) Modeling System is an agglomeration of open-source modeling components that has been tailored to investigate coupled processes of the atmosphere, ocean, and waves in the coastal ocean.

Coupled ocean atmosphere wave sediment transport modeling system

Digital Shoreline Analysis System version 5.0

This package is used to calculate coastal geomorphology variables along shore-normal transects. The calculated variables are used as inputs for modeling geomorphology using a Bayesian Network (BN).

Python package to extract barrier island metrics along shore-normal transects for Bayesian Network Deep Dive

iPlover was developed by the U.S. Geological Survey Woods Hole Coastal and Marine Science Center and the USGS Center for Integrated Data Analytics. It is used by trained and vetted personnel to record information about habitats on coastal beaches and he environment surrounding them.