商业航天利好！北京发布！

Core Viewpoint - The article outlines measures to promote the development and utilization of commercial satellite remote sensing data resources in Beijing from 2026 to 2030, aiming to enhance the integration of satellite applications and foster innovation in data services [2]. Group 1: Strengthening Basic Capabilities - Enhance the foundational capabilities of remote sensing data resources by supporting diverse business entities and infrastructure to improve market efficiency and application effectiveness [3]. - Encourage internet and geographic information companies to develop value-added services based on commercial satellite data, fostering the integration of "satellite data + industry" [3]. - Support the construction of differentiated commercial satellite constellations with clear commercial value and application prospects, integrating new information technologies like cloud computing and AI [4]. Group 2: Common Support Capabilities - Promote the construction of multi-source satellite big data platforms to standardize and integrate various remote sensing data, breaking down data silos and improving overall utilization efficiency [5]. - Encourage the establishment of urban spatiotemporal digital foundations to integrate various data elements and promote the development of digital twin city systems [5]. - Build incentive mechanisms for data resource integration, encouraging participation in remote sensing data resource pools through platforms like the Beijing International Big Data Exchange [6]. Group 3: Technological Innovation Capabilities - Encourage the development of key technologies related to satellite remote sensing data, such as agile acquisition and intelligent interpretation [7]. - Support the establishment of innovation platforms for remote sensing data, promoting collaboration between industry, academia, and research [7]. Group 4: Optimizing Development Environment - Promote the assetization of satellite data, encouraging companies to manage data assets and facilitating their registration and circulation [8]. - Strengthen inter-departmental sharing of remote sensing data resources and explore new cooperative mechanisms with research institutions and enterprises [8]. - Enhance data security management systems to protect the acquisition, storage, transmission, and use of satellite data [9]. Group 5: Expanding Application Scenarios - Accelerate the integration of AI with remote sensing data to enhance application levels in various sectors, including natural resources and disaster prevention [10]. - Support the development of industry-specific innovative application cases to deepen the scale of remote sensing data utilization in key industries [11]. Group 6: Support Measures - Strengthen coordination with national policies and major projects to facilitate the implementation of significant satellite remote sensing data resource projects [12]. - Optimize financial support for quality projects in remote sensing data resources, encouraging investment from local governments and social capital [12].