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Natural disaster damage indices based on remotely sensed data: an application to Indonesia

Author

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  • Skoufias,Emmanuel
  • Strobl,Eric
  • Tveit,Thomas Breivik

Abstract

Combining nightlight data as a proxy for economic activity with remote sensing data typically used for natural hazard modeling, this paper constructs novel damage indices at the district level for Indonesia, for different disaster events such as floods, earthquakes, volcanic eruptions and the 2004 Christmas Tsunami. Ex ante, prior to the incidence of a disaster, district-level damage indices could be used to determine the size of the annual fiscal transfers from the central government to the subnational governments. Ex post, or after the incidence of a natural disaster, damage indices are useful for quickly assessing and estimating the damages caused and are especially useful for central and local governments, emergency services, and aid workers so that they can respond efficiently and deploy resources where they are most needed.

Suggested Citation

  • Skoufias,Emmanuel & Strobl,Eric & Tveit,Thomas Breivik, 2017. "Natural disaster damage indices based on remotely sensed data: an application to Indonesia," Policy Research Working Paper Series 8188, The World Bank.
    • Handle: RePEc:wbk:wbrwps:8188
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    Citations

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    Cited by:

    1. Emmanuel Skoufias & Yasuhiro Kawasoe & Eric Strobl & Pablo Acosta, 2020. "Identifying the Vulnerable to Poverty from Natural Disasters: The Case of Typhoons in the Philippines," Economics of Disasters and Climate Change, Springer, vol. 4(1), pages 45-82, April.
    2. Majdi Debbich, 2019. "Assessing Oil and Non-Oil GDP Growth from Space: An Application to Yemen 2012-17," IMF Working Papers 2019/221, International Monetary Fund.

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