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Wildfire Prevention in the Era of Big Data

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Information Systems (EMCIS 2017)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 299))

Abstract

Big Data analysis emerges as an innovative technology capable of providing solutions to complex problems of global concern, including prevention from natural disasters. In this study, we illustrate the contribution of Big Data technology for wildfire prevention. We describe the development of a web application that combines wildfire behavior simulations with Big Data analysis for alerting and notifying end users in case of a fire emergency. The article aims to contribute in highlighting the role of the Big Data for wildfire prevention, with a view, under certain conditions, to reduce the human, environmental and socio-economic losses that are caused.

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Notes

  1. 1.

    http://hadoop.apache.org/.

  2. 2.

    http://spark.apache.org/.

  3. 3.

    http://server.arcgis.com/en/geoevent/.

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Authors and Affiliations

  1. Department of Digital Systems, University of Piraeus, Piraeus, Greece

    Nikos Athanasis & Marinos Themistocleous

  2. Department of Geography, University of the Aegean, Mytilene, Greece

    Kostas Kalabokidis

Authors
  1. Nikos Athanasis
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  2. Marinos Themistocleous
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  3. Kostas Kalabokidis
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Correspondence to Nikos Athanasis .

Editor information

Editors and Affiliations

  1. Department of Digital Systems, University of Piraeus, Piraeus, Greece

    Marinos Themistocleous

  2. Department of Management and Technology, Bocconi University, Milan, Italy

    Vincenzo Morabito

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Athanasis, N., Themistocleous, M., Kalabokidis, K. (2017). Wildfire Prevention in the Era of Big Data. In: Themistocleous, M., Morabito, V. (eds) Information Systems. EMCIS 2017. Lecture Notes in Business Information Processing, vol 299. Springer, Cham. https://doi.org/10.1007/978-3-319-65930-5_9

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  • DOI: https://doi.org/10.1007/978-3-319-65930-5_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65929-9

  • Online ISBN: 978-3-319-65930-5

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