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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)

Abstract

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.

Keywords

Disaster Monitoring Online Generation Online Dissemination Satellite Remote Sensing 

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References

  1. 1.
    Alonso, G., Abbadi, A.: Cooperative Modeling in Applied Geographic Research. International Journal of Intelligent and Cooperative Information Systems 3(1), 83–102 (1994) Google Scholar
  2. 2.
    Alonso, G., Hagen, C.: Geo - Opera: Workflow Concepts for Spatial Processes. In: The Proceedings of Advances in Spatial Databases (1995) Google Scholar
  3. 3.
    Development and Reform Commission of Guangdong Province, The 11th Five-Year Development Plan of Guangdong Province economic and social development (2006) Google Scholar
  4. 4.
    Feng, S.Z., LI, F.Q., Li, J.: An Introduction to Marine Science. High Education Press, Beijing (2000) Google Scholar
  5. 5.
    Fang, C.Y., Chen, G.: A TOPEX-Based Marine Geographic Information System for Prediction of Extreme Sea Surface Wind Speeds. Journal of Ocean University of Qingdao, 789–794 (2002) Google Scholar
  6. 6.
    Fang, C.Y., Lin, H., Eric, G., Chen, G.: A Satellite Remote Sensing Based Marine and Atmospheric Spatio-temporal Data Model, In: Proc. of SPIE, Geoinformatics 2006: Geospatial Information Science, vol. 6420 (2006) Google Scholar
  7. 7.
    Fang, C.Y., Lin, H., Tang, D., Pang, Y.: Development of the Disaster Monitoring and Warning Information System for the Fishery Industry in the Pearl River Delta Region. In: Proceeding of ACRS2007, Kualalampur, Malaysia (2007) Google Scholar
  8. 8.
    Chen, G., Fang, C.: Application of RS and GIS Technologies in the Analysis of Global Sea Surface Wind Speed. Journal of Remote Sensing 6(2), 123–128 (2002) Google Scholar
  9. 9.
    Green, D.R.: Cartography and the Internet. The Cartographical Journal 34, 23–27 (1997) Google Scholar
  10. 10.
    https://archive.iseis.cuhk.edu.hk/envisat/eng/ (2008) Google Scholar
  11. 11.
    http://modis.gsfc.nasa.gov/ (2008) Google Scholar
  12. 12.
    http://modis.gsfc.nasa.gov/gallery/# (2008) Google Scholar
  13. 13.
    http://oceancolor.gsfc.nasa.gov/cgi/image_archive.cgi?c=FIRE (2008) Google Scholar
  14. 14.
  15. 15.
    Huang, B., Lin, H.: A Java/CGI approach to developing a geographic virtual reality toolkit on the Internet. Computers & Geosciences 28, 13–19 (2002) Google Scholar
  16. 16.
    Ji, W., Li, R.: Marine and Coastal GIS: Science or Technology Driven? Marine Geodesy 26, 1–2 (2003) Google Scholar
  17. 17.
    Lockwood, M., Li, R.: Marine geographic information systems: What sets them apart? Marine Geodesy 22, 157–159 (1995) Google Scholar
  18. 18.
    Oštir, K., Veljanovski, T., Podobnikar, T., Stanc̀ic̀, Z.: Application of satellite remote sensing in natural hazard management: the Mount Mangart landslide case study. International Journal of Remote Sensing 24(20), 3983–4002 (2003) Google Scholar
  19. 19.
    Peng, Z.R., Tsou, M.S.: Internet GIS: Distributed Geographic Information Services for the Internet and Wireless Networks. Wiley, New York (2003) Google Scholar
  20. 20.
    Su, Y., Slottow, J., Mozes, A.: Distributing proprietary geographic data on the World Wide Web—UCLA GIS database and map server. Computers & Geosciences 26, 741–749 (2000) Google Scholar
  21. 21.
    Weske, M., Vossen, G., Mederos, B.: Workflow Management in Geoprocessing Applications. In: Proc. 6th ACM International Symposium Geographic Information Systems - ACMGIS 1998, pp. 88–93 (1998) Google Scholar
  22. 22.
    Wright, D.J., O’Dea, E., Cushing, J.B., Cuny, J.E., Toomey, D.R.: Why Web GIS Not Be Enough: A Case Study with the Virtual Research Vessel. Marine Geodesy 26, 73–86 (2003)Google Scholar

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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