Can We Rely on VIIRS Nightlights to Estimate the Short-Term Impacts of Natural Disasters? Evidence from Five Southeast Asian Countries

Can We Rely on VIIRS Nightlights to Estimate the Short-Term Impacts of Natural Disasters? Evidence from Five Southeast Asian Countries

Visible Infrared Imaging Radiometer Suite (VIIRS) nightlights are used to model damage caused by earthquakes, floods, and typhoons in five Southeast Asian countries (Indonesia, Myanmar, the Philippines, Thailand, and Vietnam). The data are used to...

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Bibliographic Details
Main Authors: Skoufias, Emmanuel, Strobl, Eric, Tveit, Thomas
Format: Working Paper
Language:English
Published: World Bank, Washington, DC 2019
Subjects:
REMOTE SENSING
NATURAL DISASTER
DAMAGE INDEX
FLOOD
EARTHQUAKE
TYPHOON
VISIBLE INFRARED IMAGING
Online Access:http://documents.worldbank.org/curated/en/757621572539847894/Can-We-Rely-on-VIIRS-Nightlights-to-Estimate-the-Short-Term-Impacts-of-Natural-Disasters
http://hdl.handle.net/10986/32661
id okr-10986-32661
recordtype oai_dc
spelling okr-10986-326612022-09-20T00:15:16Z Can We Rely on VIIRS Nightlights to Estimate the Short-Term Impacts of Natural Disasters? Evidence from Five Southeast Asian Countries Skoufias, Emmanuel Strobl, Eric Tveit, Thomas REMOTE SENSING NATURAL DISASTER DAMAGE INDEX FLOOD EARTHQUAKE TYPHOON VISIBLE INFRARED IMAGING Visible Infrared Imaging Radiometer Suite (VIIRS) nightlights are used to model damage caused by earthquakes, floods, and typhoons in five Southeast Asian countries (Indonesia, Myanmar, the Philippines, Thailand, and Vietnam). The data are used to examine the extent to which for each type of hazard there is a difference in nightlight intensity between affected and nonaffected cells based on (i) case studies of specific disasters, and (ii) fixed effect regression models akin to the double difference method to determine any effect that the different natural hazards might have had on the nightlight value. The results show little to no significance regardless of the methodology used, most likely due to noise in the nightlight data and the fact that the tropics have only a few days per month with no cloud cover. 2019-11-21T17:30:29Z 2019-11-21T17:30:29Z 2019-10 Working Paper http://documents.worldbank.org/curated/en/757621572539847894/Can-We-Rely-on-VIIRS-Nightlights-to-Estimate-the-Short-Term-Impacts-of-Natural-Disasters http://hdl.handle.net/10986/32661 English Policy Research Working Paper;No. 9052 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
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
topic REMOTE SENSING
NATURAL DISASTER
DAMAGE INDEX
FLOOD
EARTHQUAKE
TYPHOON
VISIBLE INFRARED IMAGING
spellingShingle REMOTE SENSING
NATURAL DISASTER
DAMAGE INDEX
FLOOD
EARTHQUAKE
TYPHOON
VISIBLE INFRARED IMAGING
Skoufias, Emmanuel
Strobl, Eric
Tveit, Thomas
Can We Rely on VIIRS Nightlights to Estimate the Short-Term Impacts of Natural Disasters? Evidence from Five Southeast Asian Countries
geographic_facet East Asia and Pacific
relation Policy Research Working Paper;No. 9052
description Visible Infrared Imaging Radiometer Suite (VIIRS) nightlights are used to model damage caused by earthquakes, floods, and typhoons in five Southeast Asian countries (Indonesia, Myanmar, the Philippines, Thailand, and Vietnam). The data are used to examine the extent to which for each type of hazard there is a difference in nightlight intensity between affected and nonaffected cells based on (i) case studies of specific disasters, and (ii) fixed effect regression models akin to the double difference method to determine any effect that the different natural hazards might have had on the nightlight value. The results show little to no significance regardless of the methodology used, most likely due to noise in the nightlight data and the fact that the tropics have only a few days per month with no cloud cover.
format Working Paper
author Skoufias, Emmanuel
Strobl, Eric
Tveit, Thomas
author_facet Skoufias, Emmanuel
Strobl, Eric
Tveit, Thomas
author_sort Skoufias, Emmanuel
title Can We Rely on VIIRS Nightlights to Estimate the Short-Term Impacts of Natural Disasters? Evidence from Five Southeast Asian Countries
title_short Can We Rely on VIIRS Nightlights to Estimate the Short-Term Impacts of Natural Disasters? Evidence from Five Southeast Asian Countries
title_full Can We Rely on VIIRS Nightlights to Estimate the Short-Term Impacts of Natural Disasters? Evidence from Five Southeast Asian Countries
title_fullStr Can We Rely on VIIRS Nightlights to Estimate the Short-Term Impacts of Natural Disasters? Evidence from Five Southeast Asian Countries
title_full_unstemmed Can We Rely on VIIRS Nightlights to Estimate the Short-Term Impacts of Natural Disasters? Evidence from Five Southeast Asian Countries
title_sort can we rely on viirs nightlights to estimate the short-term impacts of natural disasters? evidence from five southeast asian countries
publisher World Bank, Washington, DC
publishDate 2019
url http://documents.worldbank.org/curated/en/757621572539847894/Can-We-Rely-on-VIIRS-Nightlights-to-Estimate-the-Short-Term-Impacts-of-Natural-Disasters
http://hdl.handle.net/10986/32661
_version_ 1764477016732598272

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