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Encyclopedia of Big Data Technologies pp 761–771Cite as

Flood Detection Using Social Media Big Data Streams

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Synonyms

Deep learning; Flood detection; Machine learning; Metadata

Definitions

Water is one of the vital substances for life, which occupies two-thirds of the earth’s surface. For the survival of living beings, water management is critically important. One of the most common sources of its heavy wastage is flood. Conventional methods of disaster management have improved at large extent. Similarly, flood prediction, localization, and recovery management mechanism have been upgraded from manual reporting to advanced sensor-based intelligent systems. Additionally, data from social media big data streams appeared as a main source of information flow for ordinary events as well as for emergency situations. Millions of images along with text streams, audio clips, and videos are uploaded from different corners of the world. Data from social media is then processed to gain various socioeconomic benefits including weather prediction, disaster awareness, and so on. The aim of this chapter is to...

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Author information

Authors and Affiliations

  1. School of Computer Science, National University of Computer and Emerging Sciences, Karachi, Pakistan

    Muhammad Hanif, Muhammad Atif Tahir, Muhammad Rafi & Furqan Shaikh

Authors
  1. Muhammad Hanif
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  2. Muhammad Atif Tahir
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  3. Muhammad Rafi
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  4. Furqan Shaikh
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Corresponding author

Correspondence to Muhammad Atif Tahir .

Editor information

Editors and Affiliations

  1. Institute of Computer Science, University of Tartu, Tartu, Estonia

    Sherif Sakr

  2. School of Information Technologies, Sydney University, Sydney, Australia

    Albert Y. Zomaya

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Hanif, M., Tahir, M.A., Rafi, M., Shaikh, F. (2019). Flood Detection Using Social Media Big Data Streams. In: Sakr, S., Zomaya, A.Y. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-77525-8_73

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