Online Generation and Dissemination of Disaster Information Based on Satellite Remote Sensing Data

  • Chao-Yang Fang
  • Hui Lin
  • Qing Xu
  • Dan-Ling Tang
  • Wong-Chiu Anthony Wang
  • Jun-Xian Zhang
  • Yick-Cheung Matthew Pang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5373)


This paper aims to introduce a system framework for online generation and dissemination of disaster information based on satellite remote sensing data, that is, the design and application of the WEB-based Disaster Monitoring and Warning Information System – WEB-DMWIS. By integrating the satellite remote sensing data, scientific workflow technique, and the Application Service Provider (ASP) service model, WEB-DMWIS makes it possible for different levels of users to access customized disaster information via WEB. In this way, it provides an information platform which supports widely-used near real-time monitoring and early warning of natural disasters. The system is composed of two parts: (a) a user-side browser; (b) a server-side disaster information center. After introducing the system framework and functions of main engines, this paper described in detail the principle and realization of the online generation and distribution of disaster information. In addition, the disaster monitoring and early warning information system for fishery industry in Pearl River Delta region is developed on the basis of the WEB-DMWIS to verify and demonstrate the effectiveness of the framework.


Disaster Monitoring Online Generation Online Dissemination Satellite Remote Sensing 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Chao-Yang Fang
    • 1
  • Hui Lin
    • 1
  • Qing Xu
    • 1
  • Dan-Ling Tang
    • 2
  • Wong-Chiu Anthony Wang
    • 1
  • Jun-Xian Zhang
    • 1
  • Yick-Cheung Matthew Pang
    • 1
  1. 1.Institute of Space and Earth Information ScienceThe Chinese University of Hong Kong, Shatin, N. T.Hong Kong
  2. 2.Laboratory for Tropical Marine Environmental Dynamics, South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhouChina

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