Crowd Sourcing Application for Chennai Flood 2015

  • R. Subhashini
  • Mary Subaja ChristoEmail author
  • G. Parthasarathy
  • J. Jeya Rathinam
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 35)


Presently social media plays a vital role in people’s life. During the Chennai floods of November–December 2015, victims and also the relief centers have used the social media for sharing the information regarding the disaster. The crowd sourced data which speeds up disaster management actions such as rescue and relief services to the victims. Though the social media can provide effective disaster relief services, it does not provide an essential coordination for sharing information, resources, and plans among distinct relief organizations. However, proposed open source crowdsourcing platform overcomes this issue by offering a powerful capability for collecting information from disaster scenes. It also visualizes the interactive map which was used to crowdsource the information and generates reports as well. The reports and the database generated are helpful to the government and NGO’s for the preparedness of the disaster in future i.e., for relief decision making. The article describes the usage of open source crowd sourcing platform for Chennai flood disaster, 2015.


Chennai Flood-2015 Disaster management Disaster relief system Open source crowd sourcing 



We wish to acknowledge the Department of Science and Technology, India and School of Computing, Sathyabama Institute of Science and Technology, Chennai for providing the facilities to do the research under the DST-FIST Grant Project No. SR/FST/ETI-364/2014.


  1. 1.
    Gao, H., Barbier, G., Goolsby, R.: Harnessing the crowdsourcing power of social media for disaster relief. IEEE Intell. Syst. 26(3), 10–14 (2011). Scholar
  2. 2.
    Morrow, N., Mock, N., Papendieck, A., Kocmich, N.: Independent evaluation of the ushahidihaiti project. Technical report, The UHP Independent Evaluation Team (2011)Google Scholar
  3. 3.
    Howe, J.: The rise of crowdsourcing. Wired, 14 June 2006.
  4. 4.
    Koswatte, S., McDougall, K., Liu, X.: SDI and crowdsourced spatial information management automation for disaster management. In: FIG Commission 3 Workshop 2014 Geospatial Crowdsourcing and VGI: Establishment of SDI & SIM Bologna, Italy, 4–7 November 2014Google Scholar
  5. 5.
    Mishra, A.K.: Monitoring Tamil Nadu flood of 2015 using satellite remote sensing. Nat. Hazards 82(2), 1431–1434 (2016)CrossRefGoogle Scholar
  6. 6.
    Gao, H., Barbier, G., Goolsby, R.: Harnessing the crowdsourcing power of social media for disaster relief. In: IEEE Intelligent Systems, vol. 26, no. 3, pp. 10–14, May–June 2011CrossRefGoogle Scholar
  7. 7.
    Hristidis, V., et al.: Survey of data management and analysis in disaster situations. J. Syst. Softw. 83, 1701–1714 (2010)CrossRefGoogle Scholar
  8. 8.
    Auxilia, R., Gandhi, M.: Earthquake reporting system development by tweet analysis with approach earthquake alarm systems. Eur. J. Appl. Sci. 8(3), 176–180 (2016)Google Scholar
  9. 9.
    Sethuraman, R., Sathish, E.: Intelligent transport planning system using GIS. Int. J. Appl. Eng. Res. 10(3), 5887–5892 (2015)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • R. Subhashini
    • 1
  • Mary Subaja Christo
    • 2
    Email author
  • G. Parthasarathy
    • 3
  • J. Jeya Rathinam
    • 3
  1. 1.Information TechnologySathyabama Institute of Science and TechnologyChennaiIndia
  2. 2.CSE DepartmentSaveetha School of EngineeringThiruvallurIndia
  3. 3.CSE DepartmentJeppiaar Maamallan Engineering CollegeChennaiIndia

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