title: Real-time GIS data model and sensor web service platform for environmental data management.
abstract: BACKGROUND
  Effective environmental data management is meaningful for human health. In the past, environmental data management involved developing a specific environmental data management system, but this method often lacks real-time data retrieving and sharing/interoperating capability. With the development of information technology, a Geospatial Service Web method is proposed that can be employed for environmental data management. The purpose of this study is to determine a method to realize environmental data management under the Geospatial Service Web framework.
  
  
  METHODS
  A real-time GIS (Geographic Information System) data model and a Sensor Web service platform to realize environmental data management under the Geospatial Service Web framework are proposed in this study. The real-time GIS data model manages real-time data. The Sensor Web service platform is applied to support the realization of the real-time GIS data model based on the Sensor Web technologies.
  
  
  RESULTS
  To support the realization of the proposed real-time GIS data model, a Sensor Web service platform is implemented. Real-time environmental data, such as meteorological data, air quality data, soil moisture data, soil temperature data, and landslide data, are managed in the Sensor Web service platform. In addition, two use cases of real-time air quality monitoring and real-time soil moisture monitoring based on the real-time GIS data model in the Sensor Web service platform are realized and demonstrated. The total time efficiency of the two experiments is 3.7 s and 9.2 s.
  
  
  CONCLUSIONS
  The experimental results show that the method integrating real-time GIS data model and Sensor Web Service Platform is an effective way to manage environmental data under the Geospatial Service Web framework.
authors.forename: Jianya
authors.initials: J
authors.lastname: Gong
authors.forename: Jing
authors.initials: J
authors.lastname: Geng
authors.affiliation: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China. czq0119@whu.edu.cn.
authors.forename: Zeqiang
authors.initials: Z
authors.lastname: Chen
mesh_terms: D003199:Computer Systems / Q000706:statistics & numerical data; D004784:Environmental Monitoring / Q000379:methods* / Q000706:statistics & numerical data; D040362:Geographic Information Systems / Q000706:statistics & numerical data; D006801:Humans; D019451:Information Management / Q000379:methods* / Q000706:statistics & numerical data; D020407:Internet / Q000706:statistics & numerical data