Coastline Prediction using Climate Models

Develop coastline change prediction models using MATLAB's climate and image processing toolboxes. This project analyzes historical satellite imagery to forecast erosion patterns under different climate scenarios. The tutorial covers shoreline detection algorithms, multivariate regression of environmental factors, and uncertainty quantification in long-term predictions. Learn to process Landsat/Sentinel data, integrate tidal and storm surge models, and visualize results with geospatial mapping tools. Includes case studies demonstrating 90% prediction accuracy for 5-year coastal changes, with adaptable models for different geological settings.