Encyclopedia of Big Data Technologies

2019 Edition
| Editors: Sherif Sakr, Albert Y. Zomaya

Flood Detection Using Social Media Big Data Streams

  • Muhammad Hanif
  • Muhammad Atif TahirEmail author
  • Muhammad Rafi
  • Furqan Shaikh
Reference work entry
DOI: https://doi.org/10.1007/978-3-319-77525-8_73



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...

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Muhammad Hanif
    • 1
  • Muhammad Atif Tahir
    • 1
    Email author
  • Muhammad Rafi
    • 1
  • Furqan Shaikh
    • 1
  1. 1.School of Computer ScienceNational University of Computer and Emerging SciencesKarachiPakistan