This repository contains codebases for analysis techniques aimed at characterizing beach sediments and investigating the long-term evolution of a coastal system impacted by human intervention. The goal of this project is to use image analysis methods for both qualitative and quantitative assessments of mixed beach sediments over time.
Current Updates:
As of now, the repository includes our Python Point Count program, which calculates individual grain sizes from image data. Additional projects and tools will be added as the work evolves.
This project adapts a MATLAB-based codebase to Python in order to calculate grain size estimates from image data. The Python program analyzes labeled points in a provided image, returning a .xlsx file with grain location and size data.
This repository is developed through the efforts of Christie Hegermiller, Ian Miller, Daniel Buscombe, Jonathan Warrick, Cal Schurman, and Samuel Alampay