Land cover classification in remote sensing is often faced with the challenge of limited ground truth labels. Incorporating historical information has potential to significantly lower expensive cost associated collecting and, more importantly, enable early- and in-season mapping that helpful many pre-harvest decisions. In this study, we propose a new approach can effectively transfer knowledge ...