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• W2967509619 abstract "Information is a critical resource in disaster response scenarios. Data regarding the geographic extent, severity, and socioeconomic impacts of a disaster event can help guide emergency responders and relief operations, particularly when delivered within hours of data acquisition. Information from remote observations provides a valuable tool for assessing conditions ‘on the ground’ more quickly and efficiently. Here, we evaluate the social value of a near real-time flood impact system using a disaster response case study, and quantify the Value of Information (VOI) of satellite-based observations for rapid response using a hypothetical flooding disaster in Bangkok, Thailand. MODIS imagery from NASA’s Land, Atmosphere Near real-time Capability for EOS (LANCE) system is used to produce operational estimates of inundation depths and economic damages. These rapid Earth observations are coupled with a decision-analytical model to inform decisions on emergency vehicle routing. Emergency response times from vehicles routed using flood damage data are compared with baseline routes without the benefit of advance information on road conditions. Our results illustrate how the application of near real-time Earth observations can improve the response time and reduce potential encounters with flood hazards when compared with baseline routing strategies. Results indicate a potential significant economic benefit (i.e. millions of dollars) from applying near real-time Earth observations for improved flood disaster response and management." @default.
• W2967509619 created "2019-08-22" @default.
• W2967509619 creator A5044973164 @default.
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• W2967509619 date "2019-09-03" @default.
• W2967509619 modified "2023-10-14" @default.
• W2967509619 title "The Value of Near Real-Time Earth Observations for Improved Flood Disaster Response" @default.
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• W2967509619 doi "https://doi.org/10.3389/fenvs.2019.00127" @default.
• W2967509619 hasPublicationYear "2019" @default.
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