空天地一体化对地观测传感网的理论与方法立项报告

摘 要：空天地对地观测传感网可以实现网络环境下多传感器资源的动态管理、事件智能感知、多平台系统耦合、按需观测、观测融合、数据同化和智能服务，能有效解决当前传感器观测数据无法协同观测，数据处理和信息提取能力不足以及聚焦服务模型缺乏等问题，是智慧地球和一体化对地观测集成系统需要优先解决的重要研究，是地球陆表监测与决策相应研究的前沿研究之一。该研究围绕事件感知与多传感器协同观测机理、对地观测传感网数据同化与信息协同处理理论和任务驱动的时空信息聚焦服务模型三大科学问题展开研究：（1）从系统论、控制论、本体论和服务论相结合的角度，研究观测系统的自适应动态耦合机理、空天地传感器优化观测模型、对地观测数据在轨处理方法、观测资源网络化理论。（2）采用系统科学的理论与方法，建立多时-空-谱数据的一体化融合方法，发展对地观测传感网数据与陆面模式的多参数联合同化方法，充分研究对地观测传感网的多源数据智能化处理与分析模型。（3）从对地观测传感网系统构架出发，综合运用本体论、运筹学和控制论的相关方法，研究面向任务的行为规划模型。通过多学科联合攻关，系统地揭示从事件感知到聚焦服务的转化机理，建立从空天地传感网数据实现陆表监测的科学理论与方法体系，为我国空天地协同对地观测系统的建立奠定理论与技术基础。

关键词：一体化 传感网 协同观测 任务驱动 聚焦服务

Abstract：Aerospace-borne and ground based integrated earth observation sensor web can achieve dynamic management of multi-sensor， intelligent sense of events，multi-platform systems coupling，on-demand observation ，observation integration，data assimilation and intelligence services under the network environment. It can effectively solve the problem that current sensor data can not be coordinated observated， lack of data processing and information extraction capacity， and the lack of aggregation service model and other issues. It is the first important issues that need to be solved by smart earth and integration of earth observation system， and it is one of the leading subject of Earth's land surface monitoring and decision-making. The project focused on a study of three scientific questions： the event perception and coordination of multi-sensor observation mechanism ， data assimilation and information processing theory of earth observation sensor networks， and task-driven collaborative spatial and temporal information service model：（1） From the angle of systems theory， cybernetics， ontology and service，it research on the adaptive dynamic coupling mechanism and optimization of earth observation model ， in orbit of Earth observation data processing methods ， observing resource network theory.（2） Using the theories and methods of system science ， it will establish temporal - spacial -spectral integrated data fusion methods， and develop Earth observation data and sensor networks land surface model of multi-parameter joint assimilation methods，study multi-sensor networks intelligent processing and analysis of source data models of the Earth observation.（3） From the system architecture of earth observation sensor network， it will use the ontology， operations research， cybernetics and related methods to conduct research on task-oriented behavior planning model. With multidisciplinary joint research， it will systematically reveal the transformation mechanism of events perception to service， establish the scientific theory and methodology of achieving monitoring land surface from the temporal - spacial -spectral sensor networks data， lay a foundation of earth observation theory and technical basis for temporal - spacial -spectral collaborative systems in our country.

Key Words：Integrated；Sensor web；Coordination observation；Task-oriented；Service model

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