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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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NOTE: the Stream Channel and Floodplain Metric Toolbox has been superseded by a newer tool, FACET. The Stream Channel and Floodplain Metric Toolbox was developed to demonstrate the feasibility of mapping fluvial geomorphic features from high-resolution bare-earth elevation data. A Python toolbox for ArcGIS was built to calculate key metrics describing channel and floodplain geometry. Channel and Floodplain Metric Toolbox provides this ability in an automated fashion, allowing for regional analyses based solely on digital elevation models (DEMs). This manual describes the general operation of the toolbox and technical details describing the specific algorithms. The toolbox works best in a watershed no larger than...
Geodatabase of outputs generated from the hydrologically conidtioned DEM and the USGS Stream Channel and Floodplain Metric Toolbox.
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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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Floodplains provide numerous benefits to people by reducing downstream flooding and trapping sediments and nutrients. Floodplain services can be especially important for downstream estuaries such as the Chesapeake Bay. Issue: Floodplains provide numerous benefits to people by reducing downstream flooding and trapping sediments and nutrients. Information on the capacity of floodplains to retain sediment and nutrients is important to understanding the value that floodplain areas provide by reducing the transport of pollutants to downstream rivers and estuaries such as the Chesapeake Bay. Floodplains can improve downstream water quality by intercepting upland sources of sediment and by trapping sediment during...


    map background search result map search result map Stream Channel and Floodplain Metric Toolbox 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 RUSLE2 Upland Erosion and Sediment Delivery to Stream Data Table for Difficult Run, Virginia RUSLE2 Upland Erosion and Sediment Delivery to Stream Data Table for Difficult Run, Virginia 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 Stream Channel and Floodplain Metric Toolbox