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May 13, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Flood Hazard Modeling Output", https://doi.org/10.18738/T8/FVJFSW, Texas Data Repository Dataverse, V2
The results from a flood hazard study using the Random Forest Classification method to predict the probability of flooding at 30-m resolution for a 30,523 km2 area. We generate flood hazard maps for twelve USGS 8-digit watersheds along the coast in southeast Texas.
TIFF Image - 1009.7 MB - MD5: b3b798e87551d84fae9a8bdcda8f4be8
May 4, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Replication Data for: Flood Hazard Modeling, TWI", https://doi.org/10.18738/T8/85LBLA, Texas Data Repository Dataverse, V1
TWI is calculated by the following equation: TWI= Ln ((flow_accumulation * 900) + 1 )/(Tan((slope*π)/180 )) Where high values of TWI are associated with areas that are concave, low gradient areas where water often accumulates and pools making them more vulnerable to floods.
Unknown - 91 B - MD5: de3c9e3526e87b573154fd0006d7a267
TIFF Image - 265.4 MB - MD5: a765d3c0f3696ed50569aa6a8c67e784
Unknown - 91 B - MD5: de3c9e3526e87b573154fd0006d7a267
May 4, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Replication Data for: Flood Hazard Modeling, Average Roughness", https://doi.org/10.18738/T8/5ZQMXV, Texas Data Repository Dataverse, V1
Roughness values were assigned to each NLCD land cover class using the values suggested by Kalyanapu (2009), and, like KSAT, was averaged across the contributing upstream area for each raster cell for 2016. Kalyanapu, A.J., Burian, S.J. & McPherson, T.N., 2010. Effect of land use...
Unknown - 91 B - MD5: de3c9e3526e87b573154fd0006d7a267
TIFF Image - 811.4 MB - MD5: 8c83f15e08dcfdccdfddf18334e7012f
May 4, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Replication Data for: Flood Hazard Modeling, Distance to Coast", https://doi.org/10.18738/T8/YYWO9P, Texas Data Repository Dataverse, V1
Distance to coast were calculated using Euclidean Distance based on the National Hydrography Dataset (NHD) stream and coastline features.
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