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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Main Authors:	Skoufias, Emmanuel, Strobl, Eric, Tveit, Thomas
Format:	Working Paper
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

id	okr-10986-28365
recordtype	oai_dc
spelling	okr-10986-283652021-09-05T12:13:51Z Natural Disaster Damage Indices Based on Remotely Sensed Data : An Application to Indonesia Skoufias, Emmanuel Strobl, Eric Tveit, Thomas NATURAL DISASTERS REMOTELY SENSED DATA NATURAL HAZARDS DAMAGE INDEX FLOODS EARTHQUAKES VOLCANIC ERUPTIONS 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. 2017-09-21T19:01:33Z 2017-09-21T19:01:33Z 2017-09 Working Paper 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 English en_US Policy Research Working Paper;No. 8188 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper East Asia and Pacific Indonesia
repository_type	Digital Repository
institution_category	Foreign Institution
institution	Digital Repositories
building	World Bank Open Knowledge Repository
collection	World Bank
language	English en_US
topic	NATURAL DISASTERS REMOTELY SENSED DATA NATURAL HAZARDS DAMAGE INDEX FLOODS EARTHQUAKES VOLCANIC ERUPTIONS
spellingShingle	NATURAL DISASTERS REMOTELY SENSED DATA NATURAL HAZARDS DAMAGE INDEX FLOODS EARTHQUAKES VOLCANIC ERUPTIONS Skoufias, Emmanuel Strobl, Eric Tveit, Thomas Natural Disaster Damage Indices Based on Remotely Sensed Data : An Application to Indonesia
geographic_facet	East Asia and Pacific Indonesia
relation	Policy Research Working Paper;No. 8188
description	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.
format	Working Paper
author	Skoufias, Emmanuel Strobl, Eric Tveit, Thomas
author_facet	Skoufias, Emmanuel Strobl, Eric Tveit, Thomas
author_sort	Skoufias, Emmanuel
title	Natural Disaster Damage Indices Based on Remotely Sensed Data : An Application to Indonesia
title_short	Natural Disaster Damage Indices Based on Remotely Sensed Data : An Application to Indonesia
title_full	Natural Disaster Damage Indices Based on Remotely Sensed Data : An Application to Indonesia
title_fullStr	Natural Disaster Damage Indices Based on Remotely Sensed Data : An Application to Indonesia
title_full_unstemmed	Natural Disaster Damage Indices Based on Remotely Sensed Data : An Application to Indonesia
title_sort	natural disaster damage indices based on remotely sensed data : an application to indonesia
publisher	World Bank, Washington, DC
publishDate	2017
url	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
_version_	1764466717753344000

Natural Disaster Damage Indices Based on Remotely Sensed Data : An Application to Indonesia

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