Please use this identifier to cite or link to this item: http://dspace.spab.ac.in:80/handle/123456789/1632
Title: Geospatial big data analytics and spatial data infrastructure in disaster management
Other Titles: A case of pluvial flooding in Chennai city
Authors: Kuchavaram, Madhukar
Keywords: Geospatial big data analytics
Spatial data
Issue Date: Jun-2020
Publisher: SPA Bhopal
Series/Report no.: TH001267;2018MEP007
Abstract: Social 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.
URI: http://dspace.spab.ac.in/xmlui/handle/123456789/1632
Appears in Collections:Master of Planning (Environmental Planning)

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