4.5 Article

Exploring flood mitigation governance by estimating first-floor elevation via deep learning and google street view in coastal Texas

Publisher

SAGE PUBLICATIONS LTD
DOI: 10.1177/23998083231175681

Keywords

street view; flood mitigation; first-floor elevation; deep learning

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Flood mitigation governance plays a crucial role in coastal regions affected by severe flooding. Raising the First-Floor Elevation (FFE) above the base flood elevation (BFE) is an effective measure to reduce flood risks. With the advancements in computer vision technology, new approaches for FFE measurement have emerged, which can be applied to inform flood risk management and governance. The case study conducted in Galveston Island, Texas demonstrates the potential of these new approaches and provides valuable insights for flood management in other vulnerable coastal communities.
Flood mitigation governance is critical for coastal regions where flooding has caused considerable damage. Raising the First-Floor Elevation (FFE) above the base flood elevation (BFE) is an effective mitigation measure for buildings with a high risk of flooding. In the U.S., measuring FFE is necessary to obtain an Elevation Certificate (E.C.) for the National Flood Insurance Program (NFIP) and has traditionally required labor-consuming field surveys. However, the advances in computer vision technology have facilitated the handling of large image datasets, leading to new FFE measurement approaches. Taking Galveston Island (including the cities of Galveston and Jamaica Beach) in Coastal Texas as a case study, we explore how these new approaches may inform flood risk management and governance, including how FFE estimates may be combined with BFE estimates from flood inundation probability mapping to model the predicted cost of raising buildings' FFE above their BFE. After establishing the FFE model's accuracy by comparing its results with previously validated FFE estimates in three districts of Galveston, we generalize the workflow to building footprints across Galveston Island. By combining the FFE data derived from our workflow with multidimensional building information, we further analyze the future flood control and post-disaster maintenance strategies. Our findings present valuable data collection paradigms and methodological concepts that inform flood governance for Galveston Island. The proposed workflow can be extended to flood management and research for other vulnerable coastal communities.

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