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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1007/978-98...
Part of book or chapter of book . 2018 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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A Volunteered Geographic Information (VGI) Framework for Disaster Management Based on Mobile Services and SDI

Authors: S. K. Ghosh; A. Dasgupta;

A Volunteered Geographic Information (VGI) Framework for Disaster Management Based on Mobile Services and SDI

Abstract

With the advent of communication technology and location enabled handheld devices, the citizens, regardless of their knowledge or expertise, may help in generating spatial information. This phenomenon is known as volunteered geographic information (VGI). Thus, VGI can be seen as a way of producing geographic information and as a tool for updating national geographic databases. This work proposes a volunteered geographic information (VGI) framework for disaster management, primarily focuses on flood disaster. During disaster situation, the local volunteers may provide authentic and real-time information to the disaster management decision-makers and in-situ rescue worker. The local volunteers also can involve in initial rescue operation by using their domain knowledge and physical capacity. The work involves: (i) development of a geospatial platform for collecting authentic data for disaster management from the local volunteers; (ii) integrating with backend SDI for generation of disaster risk map by the processing of volunteered data along with the geospatial data from several authoritative data sources; (iii) development of a rescue plan based on information provided by the local volunteers by using ant colony optimization technique, etc. The system has been validated with some real and simulated data related to flood disaster.

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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