On November 30, the reporter learned from the Aerospace Information Innovation Institute of the Chinese Academy of Sciences that at the opening ceremony of the 23rd China Remote Sensing Conference, the Aerospace Remote Sensing Center of the Chinese Academy of Sciences released the 40th anniversary data results. The results released this time cover high-quality aerial remote sensing data and a series of typical datasets accumulated by the Aerial Remote Sensing Center since its establishment in 1985. The system presents the development process of aerial remote sensing data acquisition and application in China. The aviation remote sensing system, a major national scientific and technological infrastructure operated by the Aeronautical Remote Sensing Center of the Chinese Academy of Sciences, has two award-winning remote sensing aircraft and two Xinzhou remote sensing aircraft. Over the past 40 years, the operational footprints of four remote sensing aircraft have spread across nearly 30 provinces, autonomous regions, and municipalities, accumulating nearly 5PB (computer data storage units) of data products, of which more than half of the data has been shared and applied. The task types cover emergency monitoring, natural resources, scientific experiments, payload research and development, and the acquisition method has achieved a leap from single type to multimodal data collaboration. The relevant data has served more than 70 domestic and foreign units, and the technical level has reached domestic leading and international advanced levels. This conference released typical datasets such as high-resolution airborne multidimensional synthetic aperture radar (SAR) land classification, multi band fully polarized airborne SAR crop fine classification, airborne multi angle optical images and laser point clouds, typical scene high-resolution optics and SAR fully polarized multimodal characteristics, which possess multimodal, high-resolution, and high-precision attributes and will play an important role in land classification, 3D reconstruction, image generation, and restoration. Among them, the high-resolution airborne multidimensional SAR land cover classification dataset can be used for research on land cover classification methods. Experimental verification shows that this dataset can effectively improve the classification accuracy of land cover. The multi band fully polarized airborne SAR crop fine classification dataset has the characteristics of rich bands, complete polarization, and typical coverage areas, which verifies the feasibility of the multi band polarization feature complementary fusion strategy in the field of agricultural remote sensing and can effectively support its deep application in the field of agricultural remote sensing. The airborne multi angle optical image and laser point cloud dataset is the first sub meter level remote sensing new perspective intelligent generation dataset, which can provide high-precision geometric reference and training data sources for applications in multiple fields such as 3D reconstruction, navigation positioning, and digital twins. At present, the Aeronautical Remote Sensing Center of the Chinese Academy of Sciences has produced more than 30 typical datasets based on the existing aerial remote sensing data, which are mainly open to the public through the data sharing portal of the Aeronautical Remote Sensing Data Resource Sub center of the National Earth Observation Science Data Center. (New Society)