 This study analyzed the accuracy of different data processing combinations for multi-year rice area mapping using MOD09A1 and MYD09A1 products from the Moderate Resolution Imaging Spectridiometer, MODES, Satellite, and found that EVI2 underscore blue underscore MYO is the optimal processing method. The study validated the results against reference data and showed accuracies of rice area extraction greater than 95% for the years 2006 to 2017. The mean absolute error for transplanting, heading, and maturity dates were 11.55, 8.10, and 7.78 days, respectively. Two sample regions with rice fractional cover greater than 75% were selected in 2017, resulting in rice area extraction accuracies of 85%, A, and 92.3%, B. The study demonstrated the complementarity of MOD09A1 and MYD09A1 datasets in enhancing pixel spatial coverage and improving rice area mapping when atmospheric influences are significant, making the identified optimal data processing combination promising for accurate multi-year and large area paddy rice information extraction and forecasting. This article was authored by Li Liu, Jing Fenghuang, Qin Shuixiong, and others. We are article.tv, links in the description below.