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

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...

DETAILS

Author

Skoufias,Emmanuel;

Strobl,Eric;

Tveit,Thomas Breivik;
Document Date
2017/09/08
Document Type
Policy Research Working Paper
Report Number
WPS8188
Volume No
1
Total Volume(s)
1
Country
Indonesia,
Region
East Asia and Pacific,
Disclosure Date
2017/09/08
Disclosure Status
Disclosed
Doc Name
Natural disaster damage indices based on remotely sensed data: an application to Indonesia
Keywords
Disaster Risk Financing and Insurance Program

DOWNLOADS

COMPLETE REPORT

Official version of document (may contain signatures, etc)

Official PDF
TXT*
Total Downloads** : 2074
Download Stats
*The text version is uncorrected OCR text and is included solely to benefit users with slow connectivity.

Citation

Skoufias,Emmanuel; Strobl,Eric; Tveit,Thomas Breivik.

Natural disaster damage indices based on remotely sensed data: an application to Indonesia (English). Policy Research working paper|no. WPS 8188 Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/533341504882194154

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

DETAILS

DOWNLOADS

COMPLETE REPORT

Citation

SUBSCRIBE TO EMAIL ALERTS