Filters: partyWithName: Water Resources (X) > Types: OGC WFS Layer (X) > partyWithName: Charles C Stillwell (X)

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Lidar-derived rasters of point density, elevation, and geomorphological features for 2013, 2015, and 2022 for the Greater Raleigh Area, North Carolina As part of a collaborative study with the City of Raleigh, North Carolina, the U.S. Geological Survey developed a suite of high-resolution lidar-derived raster datasets for the Greater Raleigh Area, North Carolina, using repeat lidar data from the years 2013, 2015, and 2022. These datasets include raster representations of digital elevation models (DEMs), DEM of difference, the ten most common geomorphons (i.e. geomorphologic feature), lidar point density, and positive topographic openness. Raster footprints vary by year based on extent of lidar data collection. All files are available as Cloud Optimized GeoTIFF, meaning they are formatted to work on the cloud or can be directly downloaded. These metrics have been... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Geomorphology, Hydrology, North Carolina, Raleigh, Remote Sensing, All tags... USGS Science Data Catalog (SDC), Upper Neuse, Wake, Water Quality, environment, erosion, geography, geomorphology, geomorphon, geoscientificInformation, geospatial analysis, geospatial datasets, hydrology, land surface characteristics, lidar, positive openness, topography, Fewer tags Associated Data for Predicting Flood Damage Probability Across the Conterminous United States This data release contains the associated data described in the related primary publication, “Predicting Flood Damage Probability Across the Conterminous United States” (Collins et al. [2022], see Related External Resources section). Publicly available geospatial datasets and random forest algorithms were used to analyze the spatial distribution and underlying drivers of flood damage probability caused by excessive rainfall and overflowing water bodies across the conterminous United States. Datasets contain input files for predictor and response variables used in the analysis and output files of flood damage probabilities generated from the analysis. Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Hydrology, Land Use Change, USGS Science Data Catalog (SDC) Datasets for Rapid Assessment of Streambank Erosion Potential for Selected Streams throughout the Greater Raleigh Area, North Carolina, 2022 As part of a collaborative study with the City of Raleigh, North Carolina, the U.S. Geological Survey is assessing streambank erosion potential in selected stream reaches throughout the Greater Raleigh metropolitan area. Rapid field measurement techniques were used to assess streambank stability at 124 stream segments between January and March 2022. Field data were collected using the Bank Erosion Hazard Index (BEHI) and Near Bank Stress (NBS) assessment methods (Rosgen, 2001; Rosgen and others, 2008) as well as the Rapid Geomorphic Assessment (RGA) method (Simon and others, 2007). This Data Release contains a dataset with all stream site information, field measurements, and streambank stability assessment results;... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: Geomorphology, Geomorphology, Hydrology, Land Use Change, Raleigh, North Carolina, All tags... Sedimentology, Soil Sciences, Streambank stability, USGS Science Data Catalog (SDC), Wake County, North Carolina, Water Quality, Water Resources, Fewer tags Drainage network for the Greater Raleigh Area, North Carolina, 2015-2022 As part of a collaborative study with the City of Raleigh, North Carolina, the U.S. Geological Survey developed a drainage network for the Greater Raleigh Area, North Carolina using the most recent available lidar data, representing the years 2015 and 2022. This dataset includes the delineated drainage network (drainage_network.zip) and rasters representing the breached and filled digital elevation model (raleigh_dem_fil.tif), the flow accumulation raster (raleigh_d8_fac.tif), and the flow direction raster (raleigh_d8_fdr.tif). Raster files are available as Cloud Optimized GeoTIFFs, meaning they are formatted to work on the cloud or can be directly downloaded. The drainage network was delineated for all locations... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Geomorphology, Hydrology, North Carolina, Raleigh, Remote Sensing, All tags... USGS Science Data Catalog (SDC), Upper Neuse, Wake County, Water Resources, digital elevation model, geospatial analysis, geospatial datasets, hydrology, lidar, stream, topography, Fewer tags Application of the North Carolina Stochastic Empirical Loading and Dilution Model (SELDM) to Assess Potential Impacts of Highway Runoff In 2013, the U.S. Geological Survey (USGS) in partnership with the U.S. Federal Highway Administration (FHWA) published a new national stormwater quality model called the Stochastic Empirical Loading Dilution Model (SELDM; Granato, 2013). The model is optimized for roadway projects but in theory can be applied to a broad range of development types. SELDM is a statistically-based empirical model pre-populated with much of the data required to successfully run the application (Granato, 2013). The model uses Monte Carlo methods (as opposed to deterministic methods) to generate a wide range of precipitation events and stormwater discharges coupled with water-quality constituent concentrations and loads from the upstream... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Best Management Practice (BMP), Blue Ridge, Coastal Plain, Event Mean Concentration, Federal Highway Administration, All tags... Highway runoff, Highway-Runoff Database, Hydrology, North Carolina, Piedmont, Runoff, SELDM, State Highway, Stochastic Empirical Loading and Dilution Model, Stormwater, Streamflow, USGS Science Data Catalog (SDC), United States, Urban Runoff, Water Quality, Water Quality, Water Resources, Water Resources, chemical constituents, environment, highways and roads, physical constituents, stormwater, transportation, Fewer tags