A cloud-based global flood disaster community cyber-infrastructure: Development and demonstration

  • Zhanming Wan
  • , Yang Hong
  • , Sadiq Khan
  • , Jonathan Gourley
  • , Zachary Flamig
  • , Dalia Kirschbaum
  • , Guoqiang Tang

Research output: Contribution to journalArticlepeer-review

74 Scopus citations

Abstract

Flood disasters have significant impacts on the development of communities globally. This study describes a public cloud-based flood cyber-infrastructure (CyberFlood) that collects, organizes, visualizes, and manages several global flood databases for authorities and the public in real-time, providing location-based eventful visualization as well as statistical analysis and graphing capabilities. In order to expand and update the existing flood inventory, a crowdsourcing data collection methodology is employed for the public with smartphones or Internet to report new flood events, which is also intended to engage citizen-scientists so that they may become motivated and educated about the latest developments in satellite remote sensing and hydrologic modeling technologies. Our shared vision is to better serve the global water community with comprehensive flood information, aided by the state-of-the-art cloud computing and crowd-sourcing technology. The CyberFlood presents an opportunity to eventually modernize the existing paradigm used to collect, manage, analyze, and visualize water-related disasters.

Original languageEnglish
Pages (from-to)86-94
Number of pages9
JournalEnvironmental Modelling and Software
Volume58
DOIs
StatePublished - Aug 2014
Externally publishedYes

Keywords

  • Cloud
  • Crowdsourcing
  • Flood
  • Web GIS

Fingerprint

Dive into the research topics of 'A cloud-based global flood disaster community cyber-infrastructure: Development and demonstration'. Together they form a unique fingerprint.

Cite this