Submissions for: Coastline Prediction using Existing Climate Change Models
November 21, 2025 · View on GitHub
| # | Submission | Links |
|---|---|---|
| 1 | Global Coastline Prediction Using Existing Climate Models A MATLAB application visualizes coastline changes from sea level rise using USGS/NASA elevation models and Copernicus climate projections to identify at-risk areas. Authors: Hermes Pinto Affiliation: Universidad Nacional Abierta y a Distancia Submission Date: 2023-12-31 |     |
| 2 | Predictive Coastline Modeling using Machine Learning and Curve Fitting for Sea Level Rise This project utilizes curve fitting and machine learning methods to analyze sea level data, make future predictions, and visualize the impact of sea level rise on coastlines. Authors: Berke Miraç, Koray Muradoğlu Affiliation: Yildiz Technical University Submission Date: 2023-05-07 | |
| 3 | Coastline Visualization and Prediction using Geo-Spatial Data A MATLAB application to visualize predicted coastlines for a chosen region and future year by analyzing public elevation data and NOAA sea level rise predictions. Authors: Wenyu Hu, Stacia Kolodziejski Affiliation: Boston University Submission Date: 2023-05-02 | |
| 4 | Global and Regional Sea Level Rise Mapping MATLAB scripts visualize global sea level trends and project future rise for Texas coastlines, including South Padre Island, using climate change data and a 10mm/year average projection. Authors: Eliseo Garza Affiliation: Texas A&M University Submission Date: 2022-09-14 | |