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Earthquake Precursory Signals from Satellite Imagery and Seismography: A Review

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Geoinformation for Informed Decisions

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

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Abstract

Earthquake prediction has been always an interesting, controversial subject among researchers. Scientists, data providers, geologists, geochemists, and remote sensing experts are working on new theories and data compositions to provide better understanding of earthquake related processes to present opportunities for detection short term precursory events. Satellite based data are now used for a wide variety of experimental earth studies. Several atmospheric and surface phenomena have been recognized as precursory events and efforts are being made to produce local prediction models which encompass all the regional, climatic, and geological setting of earthquake prone areas. The first step of a successful prediction would be producing thorough information about the geodynamics of the region. While long term prediction enable scientists to identify regions with expected future earthquakes, continuous monitoring of changes of known precursors may pave the way for establishing local warning systems. For this, in situ and satellite-based measurements should be compounded and co analyzed so that all seismic and non-seismic factors in a particular region are identified. This review is a quick look at the recent advances and problems in identifying earthquake precursors as well as new technologies for solving old problems of geologists such as mapping hidden faults.

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Authors and Affiliations

  1. Civil Engineering Department, University Putra Malaysia, Serdang, Malaysia

    Habibeh Valizadeh Alvan & Shattri Mansor

Authors
  1. Habibeh Valizadeh Alvan
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  2. Shattri Mansor
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Correspondence to Habibeh Valizadeh Alvan .

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Editors and Affiliations

  1. Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, Skudai, Malaysia

    Alias Abdul Rahman

  2. Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, Skudai, Malaysia

    Pawel Boguslawski

  3. Technical University of Denmark Informatics and Mathematical Modelling, Kongens Lyngby, Denmark

    François Anton

  4. Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, Skudai, Malaysia

    Mohamad Nor Said

  5. Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, Skudai, Malaysia

    Kamaludin Mohd Omar

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Alvan, H.V., Mansor, S. (2014). Earthquake Precursory Signals from Satellite Imagery and Seismography: A Review. In: Abdul Rahman, A., Boguslawski, P., Anton, F., Said, M., Omar, K. (eds) Geoinformation for Informed Decisions. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-03644-1_8

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