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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...

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Bibliographic Details
Main Authors: Skoufias, Emmanuel, Strobl, Eric, Tveit, Thomas
Language:English
en_US
Published: World Bank, Washington, DC 2017
Subjects:
NATURAL DISASTERS
REMOTELY SENSED DATA
NATURAL HAZARDS
DAMAGE INDEX
FLOODS
EARTHQUAKES
VOLCANIC ERUPTIONS
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

Internet

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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