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Methodology for assessing the usability of earth observation-based data for disaster management

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  • Leonard Sweta
  • Wietske Bijker

Abstract

The year 2010 through 2011 witnessed a number of disasters such as floods in Pakistan and Eastern Europe and earthquakes in Chile, China and Haiti. In response, earth observation (EO) data, geographic information science (GIS) technologies and services were used to provide information before, during and after the disaster occurred. However, use of EO for disaster management still faces a number of challenges due to the lack of common established standards for producing disaster products, the lack of coordination between a large number of suppliers leading to a large collection of datasets on websites of coordinating agencies and the lack of an established framework for monitoring and authenticating the level of quality and reliability of the products delivered to the targeted users. Assessing the quality of such products is a challenge to any potential user of such datasets. The methodology presented here integrates the role of EO expert and targeted end-user into one model where the first phase involves the expert and the second phase the end-user. The expert handles the technical and expertise aspect of EO data by rating the level of conformance of a product to the parameters of a “quality information template” (QIT), and the end-user explores various rated datasets and sets preferences for decision-making based on this QIT. The end-user has the possibility of accessing the product through an interactive web platform. The preferences set are used for weighing and ranking for the combination of the potential datasets and the task to be performed. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • Leonard Sweta & Wietske Bijker, 2013. "Methodology for assessing the usability of earth observation-based data for disaster management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(1), pages 167-199, January.
    • Handle: RePEc:spr:nathaz:v:65:y:2013:i:1:p:167-199
    DOI: 10.1007/s11069-012-0351-x
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    References listed on IDEAS

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    1. Samia Amin & Markus Goldstein, 2008. "Data Against Natural Disasters : Establishing Effective Systems for Relief, Recovery, and Reconstruction," World Bank Publications - Books, The World Bank Group, number 6511, December.
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