Encyclopedia of Big Data Technologies

Living Edition
| Editors: Sherif Sakr, Albert Zomaya

Flood Detection Using Social Media Big Data Streams

  • Muhammad Hanif
  • Muhammad Atif Tahir
  • Muhammad Rafi
  • Furqan Shaikh
Living reference work entry
DOI: https://doi.org/10.1007/978-3-319-63962-8_73-1

Synonyms

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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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

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

Section editors and affiliations

  • Kamran Munir
    • 1
  • Antonio Pescapè
    • 2
  1. 1.Computer Science and Creative TechnologiesUniversity of the West of EnglandBristolUnited Kingdom
  2. 2.Department of Electrical Engineering and Information TechnologyUniversity of Napoli Federico IINapoliItaly