According to 36Kr reported on October 20, Ali Dharma Academy released the industry's first remote sensing AI large model. The model can identify farmland, crops, buildings, etc., and improve the analysis efficiency of remote sensing applications such as disaster prevention, natural resource management, and agricultural yield estimation. Currently, the model is open for use on the AI Earth Earth Science Cloud platform. According to reports, the remote sensing AI interpretation universal segmentation model (AIE-SEG) takes the lead in the field of remote sensing to realize the task of image segmentation unification, one model can achieve the rapid extraction of "zero sample of everything", can identify farmland, water, buildings and other nearly 100 kinds of remote sensing feature classification, and still maintain high-precision recognition under a number of tasks, and can automatically tune the recognition results according to the user's interactive feedback. In some specific scenarios, compared with traditional remote sensing models, the accuracy of instance extraction can be increased by 25%, and the accuracy of change detection can be increased by 30%.