Floods are among the most destructive natural disasters, causing significant losses to human societies. High-resolution flood mapping is crucial for emergency management, post-disaster assessment, and supporting the selection of locations for flood control measures. Among these, high-resolution flooded crop maps are of particular significance for assessing the impact of floods on food damage. Flood mapping based on single satellite image data is susceptible to spectral, temporal, and spatial resolution limitations. The central region of Greece experienced record-breaking floods in 2023 after Storm Daniel. This study focuses on this catastrophic event by integrating mainstream open-source satellite data, including Sentinel-1 SAR (S1), and Landsat, to map the distribution of floods. Additionally, we combined land cover and crop distribution maps to assess the impact of floods on crops in rural areas. The results show that the observed flooded area in the Thessaly region was 875.28 km2, of which 740.72 km2 are croplands. The top four crop types by flooded area are other non-permanent industrial crops (such as cotton, fiber crops, oleaginous crops, tobacco, medicinal plants, and sugar cane), durum wheat, fodder crops, and barley, with flooded areas of 317.61 km2, 131.28 km2, 52.70 km2, and 25.30 km2, respectively.