Natural Disaster Damage Indices Based on Remotely Sensed Data : An Application to Indonesia
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 fl...
Main Authors: | Skoufias, Emmanuel, Strobl, Eric, Tveit, Thomas |
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Format: | Working Paper |
Language: | English en_US |
Published: |
World Bank, Washington, DC
2017
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Subjects: | |
Online Access: | http://documents.worldbank.org/curated/en/533341504882194154/Natural-disaster-damage-indices-based-on-remotely-sensed-data-an-application-to-Indonesia http://hdl.handle.net/10986/28365 |
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