地球信息科学学报 ›› 2015, Vol. 17 ›› Issue (6): 631-367.doi: 10.3724/SP.J.1047.2015.00631

• 地球信息科学理论与方法 •    下一篇

面向应急观测规划的对地观测传感器集成管理方法与应用

胡楚丽1,2,5, 钟翔3, 关庆锋1,2, 陈能成4   

  1. 1. 中国地质大学(武汉)信息工程学院,武汉 430074
    2. 中国地质大学(武汉)国家地理信息系统工程技术研究中心,武汉 430074
    3. 北京大学地球与空间科学学院,北京 100871
    4. 武汉大学测绘遥感信息工程国家重点实验室,武汉 430079
    5. 城市空间信息工程北京市重点实验室,北京 100038
  • 收稿日期:2014-11-14 修回日期:2015-02-09 出版日期:2015-06-10 发布日期:2015-06-10
  • 作者简介:

    作者简介:胡楚丽(1984-),男,湖南怀化人,讲师,研究方向为地理空间传感网、传感器集成与共享和智慧城市。E-mail: andyhuli@tom.com

  • 基金资助:
    国家科技重点基础研究计划“973”项目(2011CB7071);国家高技术研究发展计划"863"项目(2013AA01A608);国家自然科学基金项目(41171315);教育部新世纪优秀人才项目(NCET-11-0394);中国博士后科学基金面上项目(2014M552116);城市空间信息工程北京重点实验室经费资助项目(2014208)

An Integrated Management Method of EO Sensor Resources Oriented to Emergency Observation Planning

HU Chuli1,2,5,*(), ZHONG Xiang3, GUAN Qingfeng1,2, CHEN Nengcheng4   

  1. 1. Faculty of Information Engineering, China University of Geosciences (Wuhan), Wuhan 430074, China
    2. National Engineering Research Center for Geographic Information System, China University of Geosciences (Wuhan), Wuhan 430074, China
    3. Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China
    4. State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
    5. Beijing Key Laboratory of Urban Spatial Information Engineering, Beijing 100038, China;
  • Received:2014-11-14 Revised:2015-02-09 Online:2015-06-10 Published:2015-06-10
  • Contact: HU Chuli E-mail:andyhuli@tom.com
  • About author:

    *The author: SHEN Jingwei, E-mail:jingweigis@163.com

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SensorML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GeoSensorQuery。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。

关键词: 对地观测传感网, 应急观测查询, 天地传感器, 集成管理

Abstract:

With the development of Earth Observation (EO) technology and the increasing geospatial sensor resources, 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’ information, 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 observation 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.

Key words: Earth Observation Sensor Web, emergency observation inquiry, geo-sensors, integrated management