Abstract. There are various approaches available for assessing the flood vulnerability and damage to buildings and critical infrastructure. They cover pre-and post-event methods for different scales. However, there can hardly be found any method that allows for a large-scale pre-event assessment of the built structures with a high resolution. To make advancements in this respect, the paper presents, first, a conceptual framework for understanding the physical flood susceptibility of buildings and, second, a methodological framework for its assessment. The latter ranges from semi-automatic extraction of buildings, mainly from remote sensing with a subsequent classification and systematic characterisation, to the assessment of the physical flood susceptibility on the basis of depth-impact functions. The work shows results of the methodology's implementation and testing in a settlement of the city of Magangué, along the Magdalena River in Colombia.

Abstract. There are some approaches available for assessing flood damage to buildings and critical infrastructure. However, these methods up to now can hardly be adapted to a large scale because of lacking high resolution classification and characterisation approaches for the built structures. To overcome this obstacle, the paper presents, first, a conceptual framework for understanding physical flood susceptibility of buildings; and second, a methodological framework for its analysis. The latter ranges from automatic extraction of buildings mainly from remote sensing with their subsequent classification and characterisation to a systematic physical flood susceptibility assessment. The work shows the results of implementation and testing a respective methodology in a district of the city of Magangué, Magdalena River Colombia.

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