为适应中国民用航天遥感从科学试验向业务服务模式转变，更好地探索、了解与解决应用需求与航天遥感系统对接等方面遇到的技术问题，促进航天遥感统筹协调可持续发展，中国适时于2004年成立了国家航天局航天遥感论证中心。10余年来，论证中心以航天遥感系统为研究对象，系统开展了面向应用的航天遥感科学论证概念、理论方法、技术工程与应用研究。本文是论证中心团队长期从事航天遥感科学论证研究与实践的系统总结，介绍了遥感论证初步认知、遥感论证关注问题、遥感论证理论体系与模型方法集、遥感论证能力建设及遥感论证实践等方面内容，给出了遥感论证定义并详细分析了研究范围和内容，提出了由知识维、进程维和逻辑维所组成的遥感论证作用域3维空间结构，指出社会发展加快和信息化水平提高，带动整个航天遥感数据信息链向更大规模、更短响应时间周期、更综合数据集成、更高数据质量、更加智能化方向发展，航天遥感系统将进入新的“智慧遥感”发展阶段。得益于十余年来中国民用航天快速发展，我们经历了风云三号新型载荷校飞、多角度多光谱偏振遥感器论证、环境星应用工程论证等实践，取得了多方面理论方法的突破，并应用到2030民用航天发展规划、高分辨率对地观测系统、国家自然灾害空间信息基础设施、国家民用空间基础设施中长期发展、2030中国综合地球观测系统规划等论证当中。经过不断实践，快速迭代，形成了遥感论证理论体系及相应的十大模型方法，包括遥感信息流模型、遥感信息特征模型、遥感信息应用模型、遥感信息量分析模型、遥感数据工程模型、航天遥感系统结构模型、航天遥感系统状态描述模型、航天遥感系统质量模型、航天遥感系统发展动力模型及能力体系模型。这些模型方法全面反映了航天遥感系统特征、结构、状态、发展动力、条件等，可广泛用于对航天遥感系统进行顶层设计、规划、考察、分析、评价、预测，并开展实践探索。

In order to adapt to model change of the china civil spaceborne remote sensing from scientific experiments to the business service and promote the harmonious and sustainable and development of the space remote sensing, the center for national spaceborne demonstration was timely established in 2004, to explore, understand and solve the technical problems in the application requirements and space remote sensing system docking. For more than ten years, the demonstration center took the space remote sensing system as the research object, and systematically carried out the application-oriented space remote sensing scientific demonstration concepts, theory methods, technology engineering and application research. This paper is a systemic summary of the Demonstration Center team in space remote sensing scientific demonstration research and practice for a long time, which mainly introduces the content of four aspects, i.e. the preliminary cognition of scientific demonstration, the issue concerned to remote sensing demonstration, the theoretical system and model method set of remote sensing demonstration, and remote sensing demonstration practice of the application-oriented space remote sensing system. In this paper,a scientific demonstration definition of application-oriented space remote sensing is givenfor the first time and the range and content of demonstration is also detailed analyzed, and a 3D spatial structure of remote sensing demonstration scope composed of knowledge dimension, process dimension and logic dimension is proposed synchronously. As the social development has increasingly accelerated and the informatization level has increasingly enhanced, the whole space remote sensing data information chain is driven to develop towards larger-scale data stream, shorter response time cycle, more comprehensive data integration and higher data quality, so that the space remote sensing system will step in a development phase of new "intelligent remote sensing". Owe to the rapid development of our civil space in the past ten years, we have the opportunity to participate in the FY-3 satellite flying evaluation, multi-angle polarization multispectral remote sensing sensor demonstration, and HJ satellite applicationengineering demonstration, and have made the breakthrough invarioustheory methods. These research result have been applied to several demonstrations, such asthe2030 civil space development planning, the high resolution earth observation system, the national natural disaster spatial information infrastructure, the medium and long-term development of national civil space infrastructure, the China earth observation system planning (2030) and so on. Meanwhile, the theory system of remote sensingdemonstration has been established, which includes the information flow model, information feature model, information application model, information quantity analysis model, data engineering modelsystem structure model, system state magic model, system quality model, dynamic model of system development and system model of system capability. The theoretical system for remote sensing demonstration and corresponding model method set gradually formed through practice will comprehensively reflect the structure, state and development state of the space remote sensing system, and will be used for conducting investigation, analysis, evaluation, forecast, and carrying out practical exploration on the space remote sensing system.