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Rapid assessment of cyclone damage using NPP-VIIRS DNB and ancillary data

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  • Soma Sarkar

    (University of Delhi)

Abstract

Rapid damage assessment of natural disasters is essential for the fast recovery and strategic post-disaster reconstructions. In the present study, National Polar-Orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) day/night band (DNB)-extracted night-time lights (NTL) data were explored for damage assessment caused by extremely severe cyclonic storm ‘AMPHAN’ that struck one of the most populous regions in India. The disaster impact was measured on two parameters: population and crop land area, where NTL density and population density were found to be strongly correlated (r2 > 0.8). From power outage intensity, three ‘crisis zones’ indicating the severity of cyclone damage were identified. Finally, the assessment found that the total affected population and crop land area were nearly 70% and 66%, respectively, of the study area. Therefore, NPP-VIIRS DNB image-based rapid damage assessment is potentially a useful tool for generating first hand information about the physical damages caused by extreme events.

Suggested Citation

  • Soma Sarkar, 2021. "Rapid assessment of cyclone damage using NPP-VIIRS DNB and ancillary data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(1), pages 579-593, March.
    • Handle: RePEc:spr:nathaz:v:106:y:2021:i:1:d:10.1007_s11069-020-04477-9
    DOI: 10.1007/s11069-020-04477-9
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    1. Subash, SP & Kumar, R.R. & Aditya, K.S., 2018. "Satellite data and machine learning tools for predicting poverty in rural India," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 31(2).
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    3. Doll, Christopher N.H. & Muller, Jan-Peter & Morley, Jeremy G., 2006. "Mapping regional economic activity from night-time light satellite imagery," Ecological Economics, Elsevier, vol. 57(1), pages 75-92, April.
    4. Addison,Douglas M. & Stewart,Benjamin P., 2015. "Nighttime lights revisited : the use of nighttime lights data as a proxy for economic variables," Policy Research Working Paper Series 7496, The World Bank.
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    Cited by:

    1. Elodie Blanc & Ilan Noy, 2022. "Impacts of Droughts and Floods on Agricultural Productivity in New Zealand as Measured from Space," CESifo Working Paper Series 9634, CESifo.

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