Core Insights - The China Academy of Aerospace Aerodynamics (CAAA) is celebrating the 40th anniversary of its Aerospace Remote Sensing Center, which has accumulated nearly 5PB of data products over the past four decades, with over half of this data now shared for applications [6][7][8] Group 1: Data Accumulation and Sharing - The Aerospace Remote Sensing Center has been operational since 1985 and has developed a significant amount of high-quality aerial remote sensing data, which is showcased at the 23rd China Remote Sensing Conference [6][7] - The center operates a national major scientific infrastructure with two award-winning remote sensing aircraft and two new-type remote sensing aircraft, covering nearly 30 provincial-level administrative regions [6][7] Group 2: Data Products and Applications - The released remote sensing data products include high-resolution airborne multi-dimensional synthetic aperture radar (SAR) land cover classification, multi-band fully polarized airborne SAR crop classification, and airborne multi-angle optical images with laser point clouds [7][8] - The high-resolution airborne multi-dimensional SAR land cover classification dataset has been shown to effectively improve classification accuracy [7] - The multi-band fully polarized airborne SAR crop classification dataset demonstrates the feasibility of complementary fusion strategies in agricultural remote sensing [7] - The airborne multi-angle optical images and laser point cloud dataset serves as a high-precision geometric reference for applications in 3D reconstruction, navigation, and digital twin technologies [7][8] Group 3: Unique Features of Data Sets - The typical scene high-resolution optical and fully polarized SAR multi-modal characteristic dataset is the only sub-meter level optical remote sensing image generation dataset based on fully polarized SAR, useful for multi-source remote sensing image restoration [8] - The Aerospace Remote Sensing Center has created over 30 typical datasets based on existing aerial remote sensing data, which are shared through a national data sharing portal [8]

Core Insights - The Chinese Academy of Sciences Aerospace Information Innovation Research Institute announced the establishment of a national-level aerial laboratory, with the Aerospace Remote Sensing Center celebrating its 40th anniversary in 2025, having accumulated nearly 5PB of data products, over half of which are shared and applied [1][3]. Group 1: Data Accumulation and Sharing - The Aerospace Remote Sensing Center has operated with two award-winning remote sensing aircraft and two new remote sensing aircraft, covering nearly 30 provincial-level administrative regions and accumulating close to 5PB of data products, with more than half already shared for application [3]. - The center's data products include high-resolution airborne multi-dimensional synthetic aperture radar (SAR) land cover classification and multi-band fully polarized airborne SAR crop classification, which are crucial for various applications [3][5]. Group 2: Technological Advancements - The center's tasks cover emergency monitoring, natural resources, scientific experiments, and payload development, showcasing a transition from single-type data to multi-modal data collaboration, achieving domestic leadership and international advancement in technology [3]. - The high-resolution airborne multi-dimensional SAR land cover classification dataset has been shown to significantly enhance classification accuracy, while the multi-band fully polarized airborne SAR crop classification dataset supports deep applications in agricultural remote sensing [5][7]. Group 3: Data Applications - The airborne multi-angle optical images and laser point cloud dataset is the first sub-meter level remote sensing dataset generated from a new perspective, providing high-precision geometric reference and training data for applications in 3D reconstruction, navigation, and digital twins [5]. - The typical scene high-resolution optical and SAR fully polarized multi-modal characteristic dataset is currently the only sub-meter level optical remote sensing image generation dataset based on fully polarized SAR, useful for multi-source remote sensing image restoration [7][8].