Geospatial big data analytics and spatial data infrastructure in disaster management

dc.contributor.authorKuchavaram, Madhukar
dc.date.accessioned2022-06-09T05:10:06Z
dc.date.available2022-06-09T05:10:06Z
dc.date.issued2020-06
dc.description.abstractSocial media generates the post- disaster scenario. There is no effective utilization of this data sets in disaster management (urban flooding), which is valuable and available in real time compared to conventional data sources. Though spatial data infrastructure (SDI) was proven successful in monitoring and supporting disaster resilience, had delays and data gaps in open mapping portals. These Crowdsourced data generated in social media can be integrated with SDIs to prepare near real time flood vulnerability assessment. The study reveals the importance of social media through geospatial Big data analytics to manage urban flooding.en_US
dc.identifier.urihttp://dspace.spab.ac.in/xmlui/handle/123456789/1632
dc.language.isoenen_US
dc.publisherSPA Bhopalen_US
dc.relation.ispartofseriesTH001267;2018MEP007
dc.subjectGeospatial big data analyticsen_US
dc.subjectSpatial dataen_US
dc.titleGeospatial big data analytics and spatial data infrastructure in disaster managementen_US
dc.title.alternativeA case of pluvial flooding in Chennai cityen_US
dc.typeThesisen_US

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