Satellite based approach for rice yield monitoring and forecasting
Rice yield forecasting is a crucial task for management and planning. A rice yield estimation system (RIICE) was developed based on the crop growth model ORYZA and SAR derived key information such as start of season (SOS) and leaf area growth rate. Results from study sites in Sikasso and Segou regions suggest that incorporating remote sensing data, specifically Synthetic aperture radar (SAR), into a process-based crop model improves the spatial distribution of yield estimates.