Abstract: The development of big data and artificial intelligence has added new vitality to related disciplines. In the practice of training undergraduates majoring in remote sensing or geo-information, many universities still follow the traditional education model, ignore the innovation of remote sensing applications brought about by big data and artificial intelligence technology. To cope with the opportunities and challenges brought by big data and artificial intelligence technology, talent training needs to be reformed accordingly. To this end, we explore the practical teaching of remote sensing courses in the context of big data and artificial intelligence, aiming to combine professional characteristics and train undergraduate talents with strong practical ability and innovative consciousness.

Key words: big data, artificial intelligence, remote sensing, practical teaching, talent training