This study combines earth observation indicators and farmer survey data collected in four rice-growing states in Nigeria to assess drought impacts on rainfed rice yields. We use regression models to connect meteorological indices and earth observation indicator anomalies to identify drought moments over the years 2020–2024, demonstrating that indicator anomalies are correlated to rice yield changes, particularly when anomaly values are aggregated temporally over separate rice growth stages.