中文摘要：

随着对地观测技术的发展,地学传感器种类与数量日益增加,为了高效管理对地观测传感网中的传感器资源,以及分析对地观测应急事件的特点和传感器应急观测规划的需求,本文提出面向应急观测规划的对地观测传感器资源集成管理方法。其包括对地观测传感器信息资源组织与索引、天基传感器对地观测覆盖计算、面向应急协同观测的元数据查询设计。鉴此,本文以Java平台和传感网信息模型规范Sensor ML为基础,设计并实现了面向应急观测规划的对地观测传感器集成管理工具Geo Sensor Query。最后,以长江流域中游洪涝监测传感器规划为例,验证了本文方法的可行性。

英文摘要：

With the development of Earth Observation （EO） technology and the increasing geospatial sensor re- sources, it is necessary to efficiently manage geospatial sensor resources in Geospatial Sensor Web environments which facilitate users to plan and use these resources comprehensively, accurately and in demand. Based on the analysis of （1） features of EO emergency event and （2） demands of sensor emergency observation planning, this study aims to achieve the near real-time, accurate and comprehensive discovery of existing heterogeneous EO sensor resources. We propose an integrated management method of EO sensor resources oriented to emergency observation planning. The research contents include how to organize and build the index of EO sensors＇ informa- tion, how to calculate the observation area covered for space-based sensors, and how to design the inquiry of metadata for collaborative emergency observation. Based on the above mentioned workflows that included in the proposed integrated management method, this study designed and produced an integrated management tool which is entitled GeoSensorQuery for emergency observation planning, via the utilization of Java programming language and the Open Geospatial Consortium （OGC） Sensor Web Enablement （SWE） information standard model-Sensor Model Language （SensorML）. Finally, an application focusing on planning the flooding observa- tion sensors occurred in the middle reaches of Yangtze River basin of China has been exemplified, in which the designed GeoSensorQuery prototype can meet the requirements of near real-time, accurate and comprehensive discovery of massive and heterogeneous EO sensor resources. As a conclusion, the selected example has verified the feasibility of our method.