The Virginia Scenic Rivers Program was enabled by the Virginia Scenic Rivers Act of 1970. Within Loudoun County are two Virginia-designated scenic rivers - Catoctin Creek from Waterford to the confluence of the Potomac, and Goose Creek from the confluence of the north and south prongs near Linden to the confluence of the Potomac. These creeks are represented in the Loudoun County GIS using the base map drainage data, which is collected via a planimetric update process from aerial photography and processed for a cartographic representation at 1:2400 Scale, and are mapped to National Map Accuracy Standards (NMAS). As the designation is to the main trunk of each stream, tributaries were removed and the centerlines were dissolved by name.Updated - 2016Additional Information:Scenic Rivers Act - Catoctin Creek State Scenic RiverScenic Rivers Act - Goose Creek State Scenic RiverIf you would like more information or would like to get involved please contact the following:Catoctin Creek Scenic River Advisory CommitteeGoose Creek Scenic River Advisory Committee

This is a reference dataset for the Virginia Water Quality Standards for all free-flowing, freshwater streams, rivers and flowpaths designated as stockable or natural trout waters within the Virginia state boundary. See section 9VAC-25-260 of the Virginia Administrative Code for specific standards descriptions.Click Here to see Data Fact Sheet.

The mapped area boundary, flood inundation extents, and depth rasters were created to provide an estimated extent of flood inundation along the Cherry River within the communities of Richwood and Fenwick, West Virginia. These geospatial data include the following items: 1. cherry_bnd; shapefile containing the polygon showing the mapped area boundary for the Cherry River flood maps, 2. cherry_hwm; shapefile containing high-water mark points, 3. polygon_cherry_hwm; shapefile containing mapped extent of flood inundation, derived from the water-surface elevation surveyed at high-water marks, 4. depth_hwm; raster file for the flood depths derived from the water-surface elevation surveyed at high-water marks, 5. polygon_cherry_dem; shapefile containing mapped extent of flood inundation, derived from the height above ground recorded at high-water marks and the digital elevation model (DEM) raster, 6. depth_dem; raster file for the flood depths derived from the height above ground recorded at high-water marks and the digital elevation model raster. The upstream and downstream mapped area extent is limited to the upstream-most and downstream-most high-water mark locations. In areas of uncertainty of flood extent, the mapped area boundary is lined up with the flood inundation polygon extent. The mapped area boundary polygon was used to extract the final flood inundation polygon and depth raster from the water-surface elevation raster file. Depth raster files were created using the "Topo to Raster" tool in ArcMap (ESRI, 2012). For this study two sets of inundation layers were generated for each reach. One raster file showing flood depths, "depth_hwm", was created by using high-water mark water-surface elevation values on the land surface and a digital elevation model. However, differences in elevation between the surveyed water-surface elevation values at HWM’s and the land-surface elevation from the digital elevation model data provided uncertainty in the inundation extent of the generated layers. Often times elevation differences of +/- 20 feet were noticed between the surveyed elevation from a HWM on the land surface and the digital elevation model land-surface elevation. Due to these elevation differences, we incorporated a second method of interpolating the water-surface layer. The recorded height above ground value from the surveyed HWM was added to the digital elevation model land-surface elevation at that point. This created a new water-surface elevation value to be used with the “Topo to Raster” interpolation method to create a second depth raster, "depth_dem". Both sets of inundation layers are provided.

The Digital Surficial Geologic-GIS Map of Gauley River National Recreation Area, West Virginia is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (gari_surficial_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (gari_surficial_geology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (gari_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (gari_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (gari_surficial_geology_metadata_faq.pdf). Please read the gari_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: West Virginia Geological and Economic Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (gari_surficial_geology_metadata.txt or gari_surficial_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:12,000 and United States National Map Accuracy Standards features are within (horizontally) 10.2 meters or 33.3 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

U.S. Geological Survey (USGS) and Virginia Institute of Marine Science (VIMS) scientists conducted field data collection efforts during June 11th - 16th, 2020, using a combination of remote sensing technologies to map riverbank and wetland topography and vegetation at five sites in the Chesapeake Bay Region of Virginia. The five sites are located along the James, Severn, and York Rivers. The work was initiated to evaluate the utility of different remote sensing technologies in mapping river bluff and wetland topography and vegetation for change detection and sediment transport modeling. The USGS team collected Global Navigation Satellite System (GNSS), total station, and ground based lidar (GBL) data while the VIMS team collected aerial imagery using an Unmanned Aerial System (UAS). This data release contains shapefiles of the processed GNSS and total station data, point clouds in the form of lidar data exchange (las) files from the ground lidar data and aerial imagery produce ...

This line shapefile represents the major rivers within the world at 1:15,000,000 scale. This layer is part of the 2014 ESRI Data and Maps collection for ArcGIS 10.2.World Rivers provides a base map layer of major rivers of the world.

This map provides access to information concerning environmental conditions and management in the Cowpasture River watershed in the James River headwaters region of western Virginia. Map categories include:

Environmental Permits and Related Data

Environmental Data Collection & Analysis

Species Distributions

County Boundaries, Parcels, & Zoning

Conservation LandsGeology, Water, & Landcover

Watershed Boundaries

The mapped area boundary, flood inundation extents, and depth rasters were created to provide an estimated extent of flood inundation along the New River within the community of Hinton, West Virginia. These geospatial data include the following items: 1. newriver_bnd; shapefile containing the polygon showing the mapped area boundary for the New River flood maps, 2. newriver_hwm; shapefile containing high-water mark points, 3. polygon_newriver_hwm; shapefile containing mapped extent of flood inundation, derived from the water-surface elevation surveyed at high-water marks, 4. depth_hwm; raster file for the flood depths derived from the water-surface elevation surveyed at high-water marks, 5. polygon_newriver_dem; shapefile containing mapped extent of flood inundation, derived from the height above ground recorded at high-water marks and the digital elevation model (DEM) raster, 6. depth_dem; raster file for the flood depths derived from the height above ground recorded at high-water marks and the digital elevation model raster. The upstream and downstream mapped area extent is limited to the upstream-most and downstream-most high-water mark locations. In areas of uncertainty of flood extent, the mapped area boundary is lined up with the flood inundation polygon extent. The mapped area boundary polygon was used to extract the final flood inundation polygon and depth raster from the water-surface elevation raster file. Depth raster files were created using the "Topo to Raster" tool in ArcMap (ESRI, 2012). For this study two sets of inundation layers were generated for each reach. One raster file showing flood depths, "depth_hwm", was created by using high-water mark water-surface elevation values on the land surface and a digital elevation model. However, differences in elevation between the surveyed water-surface elevation values at HWM’s and the land-surface elevation from the digital elevation model data provided uncertainty in the inundation extent of the generated layers. Often times elevation differences of +/- 20 feet were noticed between the surveyed elevation from a HWM on the land surface and the digital elevation model land-surface elevation. Due to these elevation differences, we incorporated a second method of interpolating the water-surface layer. The recorded height above ground value from the surveyed HWM was added to the digital elevation model land-surface elevation at that point. This created a new water-surface elevation value to be used with the “Topo to Raster” interpolation method to create a second depth raster, "depth_dem". Both sets of inundation layers are provided.

The mapped area boundary, flood inundation extents, and depth rasters were created to provide an estimated extent of flood inundation along the Greenbrier River within the community of Ronceverte, West Virginia. These geospatial data include the following items: 1. greenbrier_ron_bnd; shapefile containing the polygon showing the mapped area boundary for the Greenbrier River flood maps, 2. greenbrier_ron_hwm; shapefile containing high-water mark points, 3. polygon_greenbrier_ron_hwm; shapefile containing mapped extent of flood inundation, derived from the water-surface elevation surveyed at high-water marks, 4. depth_hwm; raster file for the flood depths derived from the water-surface elevation surveyed at high-water marks, 5. polygon_greenbrier_ron_dem; shapefile containing mapped extent of flood inundation, derived from the height above ground recorded at high-water marks and the digital elevation model (DEM) raster, 6. depth_dem; raster file for the flood depths derived fr ...

The mapped area boundary, flood inundation extents, and depth rasters were created to provide an estimated extent of flood inundation along the Elk River within communities in Kanawha and Clay Counties, West Virginia. These geospatial data include the following items: 1. elk_bnd; shapefile containing the polygon showing the mapped area boundary for the Elk River flood maps, 2. elk_hwm; shapefile containing high-water mark points, 3. polygon_elk_hwm; shapefile containing mapped extent of flood inundation, derived from the water-surface elevation surveyed at high-water marks, 4. depth_hwm; raster file for the flood depths derived from the water-surface elevation surveyed at high-water marks, 5. polygon_elk_dem; shapefile containing mapped extent of flood inundation, derived from the height above ground recorded at high-water marks and the digital elevation model (DEM) raster, 6. depth_dem; raster file for the flood depths derived from the height above ground recorded at high-w ...

The mapped area boundary, flood inundation extents, and depth rasters were created to provide an estimated extent of flood inundation along the Greenbrier River within the community of Alderson, West Virginia. These geospatial data include the following items: 1. greenbrier_ald_bnd; shapefile containing the polygon showing the mapped area boundary for the Greenbrier River flood maps, 2. greenbrier_ald_hwm; shapefile containing high-water mark points, 3. polygon_greenbrier_ald_hwm; shapefile containing mapped extent of flood inundation, derived from the water-surface elevation surveyed at high-water marks, 4. depth_hwm; raster file for the flood depths derived from the water-surface elevation surveyed at high-water marks, 5. polygon_greenbrier_ald_dem; shapefile containing mapped extent of flood inundation, derived from the height above ground recorded at high-water marks and the digital elevation model (DEM) raster, 6. depth_dem; raster file for the flood depths derived from ...

Information on water depth in river channels is important for a number of applications in water resource management but can be difficult to obtain via conventional field methods, particularly over large spatial extents and with the kind of frequency and regularity required to support monitoring programs. Remote sensing methods could provide a viable alternative means of mapping river bathymetry (i.e., water depth). The purpose of this study was to develop and test new, spectrally based techniques for estimating water depth from satellite image data. More specifically, a neural network-based temporal ensembling approach was evaluated in comparison to several other neural network depth retrieval (NNDR) algorithms. These methods are described in a manuscript titled "Neural Network-Based Temporal Ensembling of Water Depth Estimates Derived from SuperDove Images" and the purpose of this data release is to make available the depth maps produced using these techniques. The images used as ...

Gray-scale map showing the general geology of the Danville-Dan River basin at a scale of 1:125,000 overlain with red lines contouring the simple Bouguer gravity anomaly calculated from 1,814 gravity observations. Contour interval is 1.0 milligal. For more information on this resource or to download the map PDF, please see the links provided.

🇺🇸 United States English The Virginia Scenic Rivers Program was enabled by the Virginia Scenic Rivers Act of 1970. Within Loudoun County are two Virginia-designated scenic rivers - Catoctin Creek from Waterford to the confluence of the Potomac, and Goose Creek from the confluence of the north and south prongs near Linden to the confluence of the Potomac. These creeks are represented in the Loudoun County GIS using the base map drainage data, which is collected via a planimetric update process from aerial photography and processed for a cartographic representation at 1:2400 Scale, and are mapped to National Map Accuracy Standards (NMAS). As the designation is to the main trunk of each stream, tributaries were removed and the centerlines were dissolved by name.

Correlation of flows at pairs of streamgages were evaluated using a Spearman’s rho correlation coefficient to better identify gages that can be used as index gages to estimate daily flow at ungaged stream sites in West Virginia. Correlation maps were developed for each candidate index streamgage using ordinary kriging, and have been compiled as grids. Sets of grids were developed for correlation of daily flows of streamgages on unregulated streams in and near (within 50 miles of) West Virginia that were operated during the 1930-2011 water years for: (1) complete water years for the entire period of record (1930-2011), (2) October-December for the entire period of record, (3) January-March for the entire period of record, (4) April-June for the entire period of record, (5) July-September for the entire period of record, (6) complete water years for 1963-1969, (7) complete water years for 1970-1979, and (8) complete water years for 1992-2011.

Details of analytical approach, results, discussion, and limitations are contained in U.S. Geological Survey Scientific Investigations Report 2014-5061.at https://pubs.usgs.gov/sir/2014/5061/

Website with information about Virginia water bodies, water quaity, and data from the National Watershed Boundary Dataset. Includes maps of River Basins in VA and other useful images and files

These data provide an accurate high-resolution shoreline compiled from imagery of MATTAPONI RIVER, VA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute...

The mapped area boundary, flood inundation extents, and depth rasters were created to provide an estimated extent of flood inundation along the Meadow River and Sewell Creek within the community of Rainelle, West Virginia. These geospatial data include the following items: 1. meadow_sewell_bnd; shapefile containing the polygon showing the mapped area boundary for the Meadow River and Sewell Creek flood maps, 2. meadow_sewell_hwm; shapefile containing high-water mark points, 3. polygon_meadow_sewell_hwm; shapefile containing mapped extent of flood inundation, derived from the water-surface elevation surveyed at high-water marks, 4. depth_hwm; raster file for the flood depths derived from the water-surface elevation surveyed at high-water marks, 5. polygon_meadow_sewell_dem; shapefile containing mapped extent of flood inundation, derived from the height above ground recorded at high-water marks and the digital elevation model (DEM) raster, 6. depth_dem; raster file for the flo ...

Area representing the boundary of river features within the City of Lynchburg.

The Digital Surficial Geologic-GIS Map of New River Gorge National Park and Preserve, West Virginia is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (neri_surficial_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (neri_surficial_geology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (neri_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (neri_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (neri_surficial_geology_metadata_faq.pdf). Please read the neri_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: West Virginia Geological and Economic Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (neri_surficial_geology_metadata.txt or neri_surficial_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:48,000 and United States National Map Accuracy Standards features are within (horizontally) 24.4 meters or 80 feet of their actual _location as presented by this dataset. Users of this data should thus not assume the _location of features is exactly where they are portrayed in Google Earth, ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).