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A cvs file containing field datasets used to develop regression models to predict sediment and nutrient retention services for stream within the Difficult Run watershed. Field measurements of floodplain deposition and bank erosion were provided in previously published datasets from Hupp et al. (2013) and Gellis et al. (2017). At each field site 3-5 nearby cross-sections from the Toolbox where used to represent the floodplain and streambank sampling locations at the field sites. Metrics derived from the Toolbox are provided in this data table.
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Aerial light detection and ranging (lidar) data were collected over the study site between April 12 – 14, 2012 as part of the Fauquier, Fairfax, Frederick (MD), and Jefferson County acquisition for FEMA Region 3 FY12 VA lidar (Dewberry 2012). Lidar points classified as ground and water were used to create a 3-m digital elevation model (DEM) clipped to the Difficult Run watershed with a 500-m buffer in ArcGIS 10.3.1 (ESRI, Redlands, CA).
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This table contains estimates for upland sediment erosion and delivery to the stream estimated using a modified Revised Universal Soil Loss Equation 2 (RUSLE2) approach (USDA-ARS, 2013). Upland erosion (Eu) was calculated as the sum of the product of the erosivity factor (Rm) estimated for each month, the soil erodibility factor (K), the length-slope factor (LS), C-factor (Cm) for each month, farming support practices (P) assumed to be 1, and the area of each land cover grouping in acres. Rasters with 10-m resolution were created for these five variables in the modified RUSLE2 equation to create an upland erosion (Eu) raster for the study area. Data were calculated for each National Hydrography (NHD) Dataset Version...
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Datasets used to quantify and value the ecosystem service of sediment and nutrient retention for floodplains within the Difficult Run watershed located in Fairfax County, Virginia. Geospatial datasets include a digital elevation model (DEM), a hydrologically conditioned DEM, output from the USGS Stream Channel and Floodplain Metric Toolbox, and field data sets used to develop regression models to predict sediment and nutrient retention services for stream within the Difficult Run watershed.
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Hydrologically conditioned digital elevation model (DEM) generated from lidar data clipped to the Difficult Run watershed with a 500-m buffer in ArcGIS 10.3.1 (ESRI, Redlands, CA). The DEM was hydrologically corrected by breaching through pits with no downslope neighboring cells to force surface flow to continuously move downslope using Whitebox Geospatial Analysis Tools (Lindsay and Dhun 2015, Lindsay 2016). Pits that were not properly breached were manually adjusted using elevation information from the DEM and aerial imagery to locate culverts under roadways.
    map background search result map search result map Difficult Run Floodplain Sediment and Nutrient Retention Ecosystem Service Datasets, Fairfax County, Virginia Digital Elevation Model of the Difficult Run watershed in Fairfax County, Virginia Derived from 2012 lidar LAS Points Field estimated floodplain and bank flux and toolbox geomorphic metrics for field sites in Difficult Run, VA RUSLE2 Upland Erosion and Sediment Delivery to Stream Data Table for Difficult Run, Virginia Hydrologically Conditioned Digital Elevation Model of the Difficult Run watershed in Fairfax County, Virginia Derived from 2012 lidar LAS Points RUSLE2 Upland Erosion and Sediment Delivery to Stream Data Table for Difficult Run, Virginia Field estimated floodplain and bank flux and toolbox geomorphic metrics for field sites in Difficult Run, VA Difficult Run Floodplain Sediment and Nutrient Retention Ecosystem Service Datasets, Fairfax County, Virginia Digital Elevation Model of the Difficult Run watershed in Fairfax County, Virginia Derived from 2012 lidar LAS Points Hydrologically Conditioned Digital Elevation Model of the Difficult Run watershed in Fairfax County, Virginia Derived from 2012 lidar LAS Points