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A reliable yet inexpensive tool for the estimation of flood water spread isconducive for efficient disaster management. The application of optical and SARimagery in tandem provides a means of extended availability and enhancedreliability of flood mapping. We propose a methodology to merge these two typesof imagery into a common data space and demonstrate its use in theidentification of affected populations and infrastructure for the 2022 floodsin Pakistan. The merging of optical and SAR data provides us with improvedobservations in cloud-prone regions; that is then used to gain additionalinsights into flood mapping applications. The use of open source datasets fromWorldPop and OSM for population and roads respectively makes the exerciseglobally replicable. The integration of flood maps with spatial data onpopulation and infrastructure facilitates informed policy design. We have shownthat within the top five flood-affected districts in Sindh province, Pakistan,the affected population accounts for 31 %, while the length of affected roadsmeasures 1410.25 km out of a total of 7537.96 km.

Improved flood mapping for efficient policy design by fusion of  Sentinel-1, Sentinel-2, and Landsat-9 imagery to identify population and  infrastructure exposed to floods