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首页> 外文期刊>Environmental Modelling & Software >A cloud-based global flood disaster community cyber-infrastructure: Development and demonstration
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A cloud-based global flood disaster community cyber-infrastructure: Development and demonstration

机译:基于云的全球洪水灾害社区网络基础设施:开发和演示

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摘要

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.
机译:洪水灾害对全球社区的发展具有重大影响。这项研究描述了基于公共云的洪水网络基础架构(Cyber​​Flood),该网络可以为主管部门和公众实时收集,组织,可视化和管理多个全球洪水数据库,提供基于位置的事件可视化以及统计分析和绘图功能。为了扩展和更新现有的洪水清单,采用了众包数据收集方法,通过智能手机或互联网向公众报告新的洪水事件,这也旨在吸引公民科学家,使他们可以受到激励和教育。卫星遥感和水文建模技术的最新发展。我们的共同愿景是在最新的云计算和众包技术的帮助下,通过全面的洪水信息更好地为全球水社区提供服务。网络洪水为最终现代化用于收集,管理,分析和可视化与水有关的灾难的范例提供了机会。

著录项

  • 来源
    《Environmental Modelling & Software》 |2014年第8期|86-94|共9页
  • 作者单位

    School of Civil Engineering and Environmental Sciences, University of Oklahoma, OK, USA,Hydrometeorology & Remote Sensing Laboratory (HyDROS) and Advanced Radar Research Center (ARRC), National Weather Center, Norman, OK, USA;

    School of Civil Engineering and Environmental Sciences, University of Oklahoma, OK, USA,Advanced Radar Research Center, National Weather Center, HyDROS Lab, HyDrometeorology and RemOte Sensing, 4610 Suites, 120 David L. Boren Blvd., Norman, OK 73072, USA;

    School of Civil Engineering and Environmental Sciences, University of Oklahoma, OK, USA,Hydrometeorology & Remote Sensing Laboratory (HyDROS) and Advanced Radar Research Center (ARRC), National Weather Center, Norman, OK, USA;

    NOAA/National Severe Storms Laboratory, National Weather Center, Norman, OK, USA;

    Hydrometeorology & Remote Sensing Laboratory (HyDROS) and Advanced Radar Research Center (ARRC), National Weather Center, Norman, OK, USA,NOAA/National Severe Storms Laboratory, National Weather Center, Norman, OK, USA;

    NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA;

    Department of Hydraulic Engineering, Tsinghua University, Beijing, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Flood; Cloud; Crowdsourcing; Web GIS;

    机译:洪水;云;众包;网络GIS;

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