Abstract
Disasters lead to breakdown of established Information and Communication Technology (ICT) infrastructure. ICT breakdown obstructs the channel to gather real-time last mile information directly from the disaster-stricken communities and thereby hampers the agility of humanitarian supply chains. This creates a complex, chaotic, uncertain, and restrictive environment for humanitarian relief operations, which struggles for credible information to prioritize and deliver effective relief services. In this paper, we discuss how satellite big data analytics built over real-time weather information, geospatial data and deployed over a cloud-computing platform aided in achieving improved coordination and collaboration between rescue teams for humanitarian relief efforts in the case of 2018 Kerala floods. The analytics platform made available to the stakeholders involved in the rescue operations led to timely logistical planning and execution of rescue missions. The developed platform improved the accuracy of information between the distressed community and the stakeholders involved and thereby increased the agility of humanitarian logistics and relief supply chains. This research proves the utility of fusing data sources that are normally sitting as islands of information using big data analytics to prioritize humanitarian relief operations.
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Notes
Intelligent process-aware ICTs in the context of humanitarian relief operations refers to the development of tailor-made technology solutions that cater specifically to the needs of disaster management.
Information on Planet’s satellite fleet is available on https://www.planet.com/faqs/ (last accessed on 08 March 2020).
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Acknowledgements
We would like to take this opportunity to thank SatSure and its technical team for allowing the authors to access their big data analytics cloud platform. We are also thankful to SatSure for allowing us to conduct thorough observations of the team which built and deployed the platform as a community contribution towards the humanitarian relief operations conducted during the Kerala floods. Specifically, we thank Mr. Prateep Basu, Mr. Pradeep Bisen and Mr. Rashmit Singh Sukhmani for explaining the underlying data structure and technicalities in the process of satellite big data analytics. The case study has also immensely benefitted from the support of Geospoc, SpacePark Kerala and IBM.
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Nagendra, N.P., Narayanamurthy, G. & Moser, R. Management of humanitarian relief operations using satellite big data analytics: the case of Kerala floods. Ann Oper Res 319, 885–910 (2022). https://doi.org/10.1007/s10479-020-03593-w
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DOI: https://doi.org/10.1007/s10479-020-03593-w