Online flood information system: REST-based web service

Xiannian Chen, Xinyue Ye, Michael C. Carroll, Yingru Li

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

This paper implements a cyber-platform which visualizes and analyzes spatial patterns of flooding with a user-oriented spatial intelligence. The paper is organized from three perspectives: first, why representation and modeling of flooding data set is vital; second, how the design of flooding analysis involves spatial intelligence; third, why flooding analysis should be integrated into Cyber-infrastructure. The flood is one of the most common and devastative disasters. Flood disasters bring huge damages to the affected communities and beyond. Hence, a fast and effective flood information inquiry system is critical to reduce the loss. REST-based Web Service illustrates its great advantages in web map re-rendering, attribute information retrieving, and advanced GIS functions. This research introduces how to use REST-based Web Service to build a user-friendly online flood information inquiry system.

Original languageEnglish (US)
Pages (from-to)1-10
Number of pages10
JournalInternational Journal of Applied Geospatial Research
Volume5
Issue number2
DOIs
StatePublished - Apr 1 2014
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development
  • Earth and Planetary Sciences (miscellaneous)

Keywords

  • Flood disaster
  • Information inquiry
  • REST
  • Web GIS
  • Web service

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