This project develops an operational methodology to monitor and predict urban expansion in Chat Mariam, Tunisia, combining automated ground truth generation with 24-year Landsat temporal analysis. Using Random Forest and linear regression (R²=0.916), we forecasted 2030 urban growth. The core impact is an open-source, optimized satellite acquisition planning tool (96.58% coverage) empowering local decision-makers to efficiently monitor coastal urbanization and guide land planning.