Continuous monitoring of crops and forecasting crop conditions through time series analysis is crucial for effective agricultural monitoring and management. Traditional time series interpolation methods are commonly used for reconstructing historical missing images. However, these methods often struggle with data quality issues, such as cloud cover, that can obscure critical data, especially in optical satellite sensors.