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Woods Hole Coastal and Marine Science Center software.

LinkedBNs_4Habitat - Matlab files to link Bayesian networks to generate habitat predictions

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

Digital Shoreline Analysis System v5.1

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.

Coupled-Ocean-Atmosphere-Wave-Sediment Transport (COAWST) Modeling System

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.

COAWST Modeling System v3.4

Coupled ocean atmosphere wave sediment transport modeling system


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.