 This study uses satellite imagery to estimate paddy rice areas and simulate spatiotemporal variations in rice yield in northeastern Asia, with a root mean square error of 0.6740 H1 and a coefficient of determination of 0.823. The results suggest that a well-calibrated remote sensing integrated crop model can facilitate the development of novel approaches for monitoring and managing crop productivity over classified paddy areas, enhancing agricultural decision support systems. This article was authored by Jong Minit Yeom, Siontuk Jong, Ravanesh Sideo, and others.