Flood And Tsunami Damage Indices Based On Remotely Sensed Data: An Application To Indonesia

By using freely available remote sensing data, typically used for natural hazard modeling, and combining these with nightlight data as a proxy for economic activity, this paper constructs novel damage indices at the district level for Indonesia, showing how one can quickly find a relative economic impact up to a global scale for different disaster events, such as floods 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 hazard, 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. (C) 2020 American Society of Civil Engineers.