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An experiment of flooded building detection using ALOS-2 and a flood experiment field

This study conducted simultaneous experiments using a flood experiment field that can reproduce the conditions of flooded buildings, along with satellite monitoring using the L-band synthetic aperture radar (SAR) aboard the Advanced Land Observing Satellite-2 (ALOS-2). Through the experiments, we investigated the relationship between the multi-look number of interferometric processing, flooded building detection using interferometric coherence, and floodwater depth. For a better interpretation of the experiment results, we also performed a theoretical coherence simulation. Our results revealed that 1) coherence statistically depends on the multi-look number, 2) coherence-based change detection method can classify a flooded building with 6 cm or less water depth, and 3) there is no clear correlation between coherence degradation and floodwater depth. These findings will be useful for robust flood-area estimation of actual urban flooding events.