Articles | Volume 21, issue 2
Nat. Hazards Earth Syst. Sci., 21, 807–822, 2021
https://doi.org/10.5194/nhess-21-807-2021
Nat. Hazards Earth Syst. Sci., 21, 807–822, 2021
https://doi.org/10.5194/nhess-21-807-2021

Research article 01 Mar 2021

Research article | 01 Mar 2021

Quantification of continuous flood hazard using random forest classification and flood insurance claims at large spatial scales: a pilot study in southeast Texas

William Mobley et al.

Data sets

Flood Hazard Modeling Output William Mobley, Antonia Sebastian, Russell Blessing, Wesley E. Highfield, Laura Stearns, and Samuel D. Brody https://doi.org/10.18738/T8/FVJFSW

Independent drivers for the flood hazard model Center for Texas Beaches and Shores (CTBS) https://dataverse.tdl.org/dataverse/M3FR

Flood Hazard Modeling Output, V2 William Mobley https://doi.org/10.18738/T8/FVJFSW

Rasterio: geospatial raster I/O for Python programmers Sean Gillies, Adam J. Stewart, Alan D. Snow, et al.: https://github.com/mapbox/rasterio

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Short summary
In southeast Texas, flood impacts are exacerbated by increases in impervious surfaces, human inaction, outdated FEMA-defined floodplains and modeling assumptions, and changing environmental conditions. The current flood maps are inadequate indicators of flood risk, especially in urban areas. This study proposes a novel method to model flood hazard and impact in urban areas. Specifically, we used novel flood risk modeling techniques to produce annualized flood hazard maps.
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