Disclosed is a method for scheduling of shooting of a satellite image based on deep learning, which is performed by a computing device. The method may include: generating a prediction image and a cloud amount prediction value up to a future time desired by a user based on a pre-shot satellite image by using a pre-trained neural network model; and determining a shooting schedule of a satellite for at least one region of interest based on the cloud amount prediction value.