Landsat Classification with Google Earth Engine

This project leverages remote sensing techniques and Landsat data in Google Earth Engine to generate and harmonize training and testing data sets to optimize land classification accuracy in California. It encompasses parameter tuning and sensitivity analysis for the Random Forest algorithm to ensure accurate and robust results.