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Deep Integration of Commercial Aerospace and Digital Economy: Industry Talks on the New Era of Data Intelligence
Driven by both the digital economy boom and the large-scale development of commercial aerospace, the aerospace information industry is ushering in unprecedented opportunities for integration. Today, a high-level industry exchange event themed "AI-Driven Digital Innovation for the Future" was held in Xiamen, bringing together representatives from government, research institutions, universities, and enterprises to discuss technological pathways, application scenarios, and ecosystem building, and to promote collaborative innovation and pragmatic cooperation across the industry chain.
From "Satellite Launch" to "Data Landing"
As my country's commercial aerospace industry enters a new stage of large-scale and intelligent development, satellite remote sensing data is gradually becoming a new type of infrastructure for urban governance, industrial upgrading, and ecological protection. Hyperspectral remote sensing, as an important branch of remote sensing technology, with its unique advantage of "integrated image and spectrum," shows broad application prospects in agriculture, forestry, environmental protection, and marine monitoring.
Qin Jing, Chairman and General Manager of CAS Xi'an Optics & Precision Science & Technology Group Co., Ltd. and Chairman of Xiamen Constellation Satellite Application Research Institute Co., Ltd., stated during the exchange that the company, relying on the core technology accumulation of the Xi'an Institute of Optics and Precision Mechanics of the Chinese Academy of Sciences, adheres to the development path of "fully independent, full-chain, and full-application," and is committed to building a full-chain capability covering satellite development, constellation operation, data interpretation, and industry applications. "We are not only a technology provider, but also a partner that grows together with the industry," Qin Jing emphasized. "Satellite + industry" and "data + intelligence" have become the dual engines for enterprises to promote the release of the value of aerospace information.
It is worth mentioning that the successful launch and operation of "Xiamen Science and Technology No. 1", the first city-customized hyperspectral satellite in China, marks the shift of satellite data services from "general observation" to "scenario customization", and lays an important foundation for subsequent constellation-based and operational use.
AI cracks the code of data interpretation and application.
The generation of massive amounts of remote sensing data has placed higher demands on data processing and analysis capabilities. The integration of artificial intelligence technology is becoming key to activating the value of data and lowering the barriers to its use.
In his keynote speech entitled "Satellite Remote Sensing Program and Ecological Monitoring," Li Zhizhong, Academician of the International Academy of Astronautics and Chief Expert of the SCO Geoscience Satellite Remote Sensing Center, systematically explained how satellite remote sensing technology has become an irreplaceable "eye in the sky" for global and regional ecological monitoring in the context of the large-scale development of commercial aerospace.
Academician Li Zhizhong pointed out that compared with traditional monitoring methods, especially hyperspectral and high spatiotemporal resolution remote sensing, it is possible to achieve large-scale, high-frequency, and quantitative precise observation of ecological elements such as forest cover, water pollution, soil degradation, biodiversity habitats, and carbon emission sources and sinks. He further emphasized that, in order to meet the major needs of "dual carbon" goals and sustainable development, building a three-dimensional monitoring network that coordinates space-based remote sensing and ground monitoring, and deeply integrating artificial intelligence and big data analysis technologies, is key to realizing dynamic assessment of ecosystems, disaster early warning, and intelligent decision-making for environmental governance. This forward-looking plan not only provides a brand-new technological toolbox for ecological protection, but also opens up a vast blue ocean of applications for commercial aerospace to serve major national strategies.
He Xiaoning, General Manager of the Application Division of Xi'an Institute of Optics and Precision Mechanics CAS Aerospace Science and Technology Group Co.,LTD Technology Group, pointed out that hyperspectral remote sensing data is characterized by multiple bands and rich information, but it also presents challenges such as large data volume and complex processing. "The core of the integration of AI and remote sensing lies in making the data not only 'visible', but also 'understandable and usable'," he said. He explained that through AI technologies such as deep learning, automatic identification and classification of ground features can be achieved, significantly improving the efficiency and accuracy of data interpretation and providing intelligent solutions for scenarios such as smart agriculture, environmental monitoring, and emergency management.
Li Ying, associate researcher at the Aerospace Information Research Institute of the Chinese Academy of Sciences, gave a presentation entitled "Operation and Application Circulation Service Solution for Aerospace Data Elements". She described in simple terms the productization, standardization and assetization of aerospace data, focusing on operation and application circulation services for aerospace data elements, and helped upstream and downstream enterprises in the aerospace information industry to fully enter the national data element market.
Liu Rubing, Associate Professor and Doctoral Supervisor at the School of Aeronautics and Astronautics, Xiamen University, shared key technological advancements in microsatellites from a methodological perspective. He pointed out that as satellite miniaturization and constellation development become important trends in global aerospace development, microsatellites have rapidly evolved from technology verification platforms into crucial carriers for undertaking practical observation, communication, and scientific missions.
Yang Fan, associate professor at the School of Aeronautics and Astronautics, Xiamen University, shared the possibilities of cross-disciplinary innovation from a methodological perspective. He believes that AI, as a "common engine," has an underlying logic that is transferable across different fields. "From drug molecule analysis to satellite image diagnosis, seemingly unrelated fields can inspire each other in AI methods such as feature extraction and pattern recognition, which opens up new avenues for the integration and innovation of commercial aerospace with other industries."
Discussing data openness, model generalization, and scenario implementation
While brimming with opportunities, the industry also faces a series of challenges in its development. During the panel discussion, participants engaged in practical discussions on core pain points such as high barriers to data application, weak generalization capabilities of AI models, and difficulties in translating technology into practical applications.
How to make data "easy to use" has become a key focus. Satellite data is highly specialized and massive in volume, often posing challenges for non-specialized organizations in terms of processing difficulties and high application costs. Some experts suggest promoting the establishment of a "tiered open, on-demand service" data sharing mechanism, lowering the initial usage threshold for enterprises by providing standardized data product interfaces, and accelerating application verification and iteration.
Pooling resources to create a new blueprint for the industry
This in-depth exchange highlighted a consensus: the deep integration of commercial aerospace and the digital economy cannot be achieved by a single force, but must rely on the collaborative ecosystem of government, industry, academia, research, and application.
With its solid foundation in the software and information industry, vibrant innovation atmosphere, and forward-looking plans for future industries such as aerospace information, Xiamen is becoming an important breeding ground for this integrated ecosystem. Local universities and research institutions, through their deep cultivation in areas such as remote sensing algorithms, aerospace devices, and large-scale AI models, are providing continuous technological and talent support for the industry.
Looking ahead, a space-air information application ecosystem, linked by data, driven by intelligence, and guided by scenarios, is expected to accelerate its formation. By building a more open data sharing system, promoting cross-industry technological integration and innovation, and creating replicable benchmark applications, commercial aerospace technology will more deeply empower various industries, injecting strong "space-air digital momentum" into cultivating new productivity and serving high-quality development.
This industry exchange event was hosted by Xiamen Constellation Satellite Application Research Institute Co., Ltd., a wholly-owned subsidiary of CAS Xiguang Aerospace Technology Group, and organized by Xiamen Torch Software Industry High-Quality Development Consulting Center (SAC), with the assistance of Xiamen Software Industry Investment and Development Co., Ltd. The event received strong support from the Xiamen Science and Technology Bureau, Torch High-tech Zone, and Jimei District. It established an efficient and pragmatic dialogue platform for related fields, promoting industry consensus and clarifying cooperation directions.