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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.
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.
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...
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.
May 4, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Replication Data for: Flood Hazard Modeling, Average Ksat", https://doi.org/10.18738/T8/UKAGX0, Texas Data Repository Dataverse, V1
KSAT values were assigned to soil classes obtained from the Natural Resources Conservation Service’s (NRCS) Soil Service Geographic Database (SSURGO) , and then averaged across the upstream area for each cell. (2020-04-28)
May 4, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Replication Data for: Flood Hazard Modeling, Elevation", https://doi.org/10.18738/T8/BPARY8, Texas Data Repository Dataverse, V1
Elevation was calculated using the National Elevation Dataset (NED), which was provided as a seamless raster product via the LANDFIRE website at a 30-m resolution. For more information on the initial dataset see : https://www.landfire.gov/elevation.php
May 4, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Replication Data for: Flood Hazard Modeling, Distance to Stream", https://doi.org/10.18738/T8/VLIS6E, Texas Data Repository Dataverse, V1
Distance to Stream was calculated using Euclidean Distance based on the National Hydrography Dataset (NHD) stream and coastline features.
May 4, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Replication Data for: Flood Hazard Modeling, Flow Accumulation", https://doi.org/10.18738/T8/QRXYB7, Texas Data Repository Dataverse, V1
Flow accumulation measures the total upstream area that flows into every raster cell based on a flow direction network as determined by the NED.
May 4, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Replication Data for: Flood Hazard Modeling, Impervious", https://doi.org/10.18738/T8/S7NFPI, Texas Data Repository Dataverse, V1
Percent impervious was measured using the percent developed impervious surface raster from the National Land Cover Database (NLCD).
Feb 27, 2019 - Profile 2007-2008
Coastal Geology Laboratory, 2019, "Pirates' Beach West beach profile 2007-2008", https://doi.org/10.18738/T8/VSI8CF, Texas Data Repository Dataverse, V2
Historic beach profile data of Galveston Island
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