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: | , , |
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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 |
| Summary: | 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. |
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