These digital images were taken over an area of the Potomac River in Shepherdstown, West Virginia using 3DR Solo unmanned aircraft systems (UAS) on October 21, 2019. These images were collected for the purpose of evaluating UAS assessment of river habitat data such as water depth, substrate type, and water clarity. Each UAS was equipped with a Ricoh GRII digital camera for natural color photos, used to produce digital elevation models and ortho images. Some photographs contain black and white targets used as ground control points (GCPs), which were surveyed by a field crew with a high-precision (GNSS) Global Navigation Satellite System and/or containing internal post processing kinematic (PPK) GPS system. This data release includes the original true color images from the Ricoh GRII digital camera of the Potomac River in Shepherdstown, West Virginia.

The National Agriculture Imagery Program (NAIP) acquires aerial imagery during the agricultural growing seasons in the continental U.S. A primary goal of the NAIP program is to make digital ortho photography available to governmental agencies and the public within a year of acquisition. This four-band imagery was collected in 2011, and was originally published in October of 2011 . It was made available from the West Virginia GIS Tech Center in April of 2012.

All data was delivered with 1-meter Ground Sample Distance (GSD). The imagery is rectified to a horizontal accuracy of within +/- 5 meters of reference digital ortho quarter quads from the National Digital Ortho Program.

The dataset can be downloaded by digital orthophoto quarter quads (DOQQ). The data is compressed into MrSid format, with a compression ratio of 10:1 . Files range from 13 to 16 MB. MrSid format images are 3 band and, as a result a separate dataset for color infrared and natural color was created.

Uncompressed 4 band .tif files are available as well, but due to the size (~320 GB) of this dataset, interested parties will need to provide a hard drive to the WVGISTC. There is a small fee associated with this service. Contact Frank Lafone for more information.

This hosted feature layer is provided by the USDA Aerial Photography Field Office (APFO) and shows image acquisition dates for 2020 National Agriculture Imagery Program (NAIP) imagery for West Virginia. This date index is state based and contains a polygon for each exposure used in the creation of the imagery. Click on a polygon to find out more information about any area on the image. Attribute information includes the following: IDATE - Image acquisition date SDATE - Polygon start date/time - local 24 hour clock. The start/end time will be for the collection of the individual polygon (will be the same for frame based systems)EDATE - Polygon end date/time - local 24 hour clock. The start/end time will be for the collection of the individual polygon (will be the same for frame based systems)BCON - Color type - possible values are NC (natural color), CIR (color infrared), and M4B (4-band)CAM_TYPE - Camera type (Digital or film)CAM_MAN - Camera ManufacturerCAM_MOD - Camera modelHARD_FIRM - Camera HW and FW version which provides top level information specific to the camera systemSENSNUM - Sensor or lens serial numberAC_TYPE - Aircraft type - ICAO designation (i.e. C441 for a Cessna 441 Conquest II), airborne platforms only blank attribute for space-based systemsACTAILNUM - Aircraft tail number - airborne platforms only a blank attribute for space-based systemsSHAPE_AREA - Polygon area (square meters)RED_RNGE - Red electromagnetic spectrum - spectrum range in nano meters (604-664)GREEN_RNGE - Green electromagnetic spectrum - spectrum range in nano meters (533-587)BLUE_RNGE - Blue electromagnetic spectrum - spectrum range in nano meters (420-492)NIR_RNGE - Near infrared electromagnetic spectrum - spectrum range in nano meters (683-920)

These digital images were taken over an area of the Potomac River in Shepherdstown, West Virginia using 3DR Solo unmanned aircraft systems (UAS) on October 21, 2019. These images were collected for the purpose of evaluating UAS assessment of river habitat data such as water depth, substrate type, and water clarity. Each UAS was equipped with a FLIR Vue Pro R 640 13mm radiometric thermal camera that provides temperature data embedded in every pixel. Some photographs contain black and white targets used as ground control points (GCPs), which were surveyed by a field crew with a high-precision (GNSS) Global Navigation Satellite System and/or containing internal post processing kinematic (PPK) GPS system. This data release includes the original images from FLIR Vue Pro R 640 13mm radiometric thermal camera of the Potomac River in Shepherdstown, West Virginia.

This data set contains imagery from the National Agriculture Imagery Program (NAIP). NAIP acquires digital ortho imagery during the agricultural growing seasons in the continental U.S. A primary goal of the NAIP program is to enable availability of of ortho imagery within one year of acquisition. NAIP provides four main products: 1 meter ground sample distance (GSD) ortho imagery rectified to a horizontal accuracy of within +/- 5 meters of reference digital ortho quarter quads (DOQQ's) from the National Digital Ortho Program (NDOP); 2 meter GSD ortho imagery rectified to within +/- 10 meters of reference DOQQs; 1 meter GSD ortho imagery rectified to within +/- 6 meters to true ground; and, 2 meter GSD ortho imagery rectified to within +/- 10 meters to true ground. The tiling format of NAIP imagery is based on a 3.75' x 3.75' quarter quadrangle with a 300 meter buffer on all four sides. NAIP quarter quads are formatted to the UTM coordinate system using NAD83. NAIP imagery may contain as much as 10% cloud cover per tile. Resources in this dataset:Resource Title: GeoData catalog record. File Name: Web Page, url: https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/4dae30db-2a65-4c35-8c29-61ea7b729625

West Virginia Wetlands Inventory is a record of wetlands location and classification as defined by the National Wetlands Inventory (NWI) of the U.S. Fish and Wildlife Service. This dataset is available as a single statewide coverage. The data provide consultants, planners, and resource managers with information on wetland location and type; however, not all wetlands are mapped as explained under “data limitations” below.

The originator of the inventory is the WV Department of Environmental Protection in coordination with the U.S. Fish and Wildlife Service. Time period of content ranges from Feb. 1971 to Dec. 1992, with updates to 6% of the data in 2018. Wetland point, line and area features are compiled through manual photo interpretation of aerial photography supplemented by soil surveys, digital elevation data, and field checking.

Digital color orthophotography of the State of West Virginia (West Virginia State Plane Coordinate System North Zone). The W.V. state plane system has two cartographic zones, north and south. This data set consists of 10,000' x 10,000' uncompressed 24-bit natural color TIFF files at a pixel resolution of 2.0' and 10,000' x 10000' compressed 24 bit-bit natural color MrSid files at a pixel resolution of 2.0'. Digital orthophotography combines the image characteristics of a photograph with the geometric qualities of a map. Digital orthophotography is a process which converts aerial photography from an original photo negative to a digital product that has been positionally corrected for camera lens distortion, vertical displacement and variations in aircraft altitude and orientation. The imagery was captured at a negative scale of 1" = 2400' in the spring of 2003 for the purpose of producing natural color digital orthophotos at a 2' pixel resolution. The ortho-rectification process has achieved less than 9.8' ft. horizontal accuracy at a 95% confidence level.

This dataset consists of Structure-from-Motion derived point clouds and detailed orthomosaic images of four exposures covering the Williamsport Sandstone and the Bloomsburg Formation in eastern West Virginia and south-central Pennsylvania. For each roadcut exposure, two datasets are published: an orthomosaic raster image and a point cloud. The orthomosaic raster image is a vertical outcrop orthomosaic constructed from multiple orthophotos to create a geometrically rectified image. This facilitates a detailed visual inspection of the stratigraphic succession outside of a GIS environment, unlike georeferenced orthomosaics derived from aerial imagery. Point-cloud files provide 3D geospatial data that enables inspection in a three-dimensional geospatial environment. As a geospatial dataset, they can be combined with other reference geodatasets, enhancing analysis and application in geologic mapping.

Monroe County in southeastern West Virginia hosts world-class karst within carbonate units of Mississippian and Ordovician age. Lidar-derived elevation data acquired in late December of 2016 were used to create a 3-meter resolution working digital elevation model (DEM), from which surface depressions were identified using a semi-automated workflow in ArcGIS®. Depressions in the automated inventory were systematically checked by a geologist within a grid of 1.5 square kilometer tiles using aerial imagery, lidar-derived imagery, and 3D viewing of the lidar imagery. Distinguishing features such as modification by human activities or hydrological significance (stream sink, ephemerally ponded, etc.) were noted wherever relevant to a particular depression. Relative confidence in depression identification was provided and determined by whether the depression was visible in the lidar imagery, aerial imagery, or both. Statistics on the geometric morphometry of each depression were calculated including perimeter, area, depth, length of major and minor elliptical axes, and azimuth of the major axis. Center points were created for each surface depression and were used to create a point density raster. The density raster displays the number of closed depression points per square kilometer.

Initial nationwide listing of port facilities was downloaded from the Corps of Engineers website. The initial data format was a spreadsheet. All facilities located in bordering states around Kentucky were then extracted from that and plotted using x,y coordinates. Then all facilities that were not adjacent to a shared waterway with Kentucky were removed. From there, facilities were individually examined using aerial photography to verify if any freight activity was evident at the facility. If freight activity was evident, the facility remained in the dataset. If no freight activity was evident, the facility was removed.Data Download: https://ky.box.com/s/sbuzjx2gt6zy0dw5ovwwsc99yb4hvsy8

This coverage contains land-cover information for all of Ohio and portions of Indiana, Michigan, Kentucky, West Virginia, Pennsylvania, and New York. This dataset was derived from the U.S. Geological Survey's National Land Cover Dataset (NLCD). NLCD raster grids were downloaded from the USGS EROS Data Center web server at http://landcover.usgs.gov/natllandcover.html, by state. These grids were then reprojected, mosaiced and clipped against a polygon coverage representing the study area. Grid cell resolution is approximately 30 meters or 1 arc-second.

mineBenchDL DatasetA dataset for geomorphic deep learning. Goal is to detect historic mine benches resulting from surface coal mining from lidar-derived digital terrain models. Mine bench extents were manually digitized via interpretation of lidar-derived terrain data, leaf-off aerial imagery, and ancillary geospatial data. Mine bench extents have been provided as vector data. The elev folder contains the lidar-derived elevation data at a 2 m spatial resolution. The images folder contains a 3 band stack of terrain variables. The masks folder contains a binary feature mask. Data were randomly split into training, test, and validation sets randomly using quarter quad boundaries*All layers in NAD83 UTM Zone 17NtrainQQs.csv: quarter quads randomly selected as training set (69 quarter quads)testQQs.csv: quarter quads randomly selected as test set (49 quarter quads)valQQs.csv: quarter quads randomly selected as validation set (50 quarter quads)vectors folder: mineBenches.shp = digitized mine bench features (QKEY field used as unique ID) quarterQuads.shp = quarter quad boundaries (just those containing mine benches)images folder: 3 band stack of land surface parameter predictor variables (2 m spatial resolution). The first layer is a topographic position index (TPI) calculated using a moving window with a 50 m circular radius and designed to characterize general hillslope position. The second layer is the square root of slope calculated in degrees, which provides a measure of steepness. The third layer is another TPI; however, it is calculated using an annulus moving window with an inner radius of 2 and outer radius of 5 m. This surface captures more local relief and surface roughness patterns in comparison to the other TPI. Values for both TPIs and the square root of slope were clamped to a range of -10 to 10 then linearly rescaled to a range of 0 to 1. masks folder: Mine bench raster masks (1 band, 1 = bench, 0 = background)

Low-altitude digital images were taken over an area of the Potomac River in Shepherdstown, West Virginia using 3DR Solo unmanned aircraft systems (UAS) on October 21, 2019. The imagery was collected for the purpose of evaluating UAS assessment of river habitat data such as water depth, substrate type, and water clarity. Some photographs contain black and white targets used as ground control points (GCPs), which were surveyed by a field crew with a high-precision (GNSS) Global Navigation Satellite System and/or containing internal post processing kinematic (PPK) GPS system. This data release contains the csv file containing the latitude and longitude coordinates, in Universal Transverse Mercator Zone 18N referenced to the North American Datum of 1983 (2011), of the ground control points.

Base map is modified from USGS DRG, 1987, Elkton West Quadrangle, Virginia, 7.5-mintue series (1:24,000 scale), and DTM created using VGIN aerial imagery elevation control points, 2007, NAD 1927 Datum. Contour interval is 40 feet. Cross-sections included. To download this resource map PDF, please see the link provided.

This layer contains all known streams and rivers in Jefferson County, WV.Layer was generated using several different years of aerial photography and may not reflect current ground conditions.For questions, please contact the Jefferson County GIS/Addressing Office at 304-724-6759 or gis@jeffersoncountywv.org.

This dataset consists of Structure-from-Motion (SfM) - derived point clouds and highly detailed orthomosaic images of four roadcut exposures covering the upper part of the Harrell Shale, the full Brallier Formation, the full Foreknobs Formation, and the lower part of the Hampshire Formation at Baker, West Virginia. For each roadcut exposure, two datasets are published: an orthomosaic raster image and a point cloud. The orthomosaic raster image is a vertical outcrop orthomosaic constructed from multiple orthophotos to create a geometrically rectified image. This facilitates a detailed visual inspection of the stratigraphic succession outside of a GIS environment, unlike georefrenced orthomosaics derived from aerial imagery.

This data set provides industrial-scale onshore wind turbine locations in the United States through July 22, 2013, corresponding facility information, and turbine technical specifications. The database has more than 47,000 wind turbine records that have been collected, digitized, locationally verified, and internally quality controlled. Turbines from the Federal Aviation Administration Digital Obstacle File, through product release date July 22, 2013, were used as the primary source of turbine data points. Verification of the turbine positions was done by visual interpretation using high-resolution aerial imagery in ESRI ArcGIS Desktop. Turbines without Federal Aviation Administration Obstacle Repository System numbers were visually identified and point locations were added to the collection. We estimated a locational error of plus or minus 10 meters for turbine locations. Wind farm facility names were identified from publically available facility data sets. Facility names were then used in a web search of additional industry publications and press releases to attribute additional turbine information (such as manufacturer, model, and technical specifications of wind turbines). Wind farm facility location data from various wind and energy industry sources were used to search for and digitize turbines not in existing databases. Technical specifications for turbines were assigned based on the wind turbine make and model as described in literature, specifications listed in the Federal Aviation Administration Digital Obstacle File, and information on the turbine manufacturer’s website. Some facility and turbine information on make and model did not exist or was difficult to obtain. Thus, uncertainty may exist for certain turbine specifications. That uncertainty was rated and a confidence was recorded for both location and attribution data quality.

The Winchester 30 x 60 minute quadrangle, covering northern Virginia, West Virginia, and Maryland, hosts karsts within carbonate units of Devonian to Cambrian age. Lidar-derived elevation data, acquired between 2011 and 2019, were used to create a mosaic of 1-meter resolution working digital elevation models (DEMs), from which surface depressions were identified using a semi-automated workflow in ArcGIS. Depressions in the automated inventory were systematically checked by a geologist using aerial imagery, lidar-derived imagery, and 3D viewing of the lidar imagery. Distinguishing features, such as modification by human activities or hydrological significance (stream sink, ephemerally ponded, etc.), were noted wherever relevant to a particular depression. Statistics on the geometric morphometry of each depression were calculated, including perimeter, area, depth, length of major and minor elliptical axes, and azimuth of the major axis. Center points were created for each surface depression and were used to create a point density raster. The density raster displays the number of closed depression points per square kilometer.

In lieu of a uniform mapping of the Chesapeake and Ohio Canal National Historical Park corridor at very high-resolution using UAS, this study developed a multi-scale workflow, where (1) geospatial modeling methods and (2) historic image analysis were used to constrain the areal extent of (3) detailed field and unmanned aerial systems (UAS) observation. 1_Geospatial Modeling Methods: Harperella habitat characteristics reported by literature sources and corroborated by extremely limited harperella occurrence data (in the form of GPS locations), were compiled into a geospatial prediction model (GPM) to characterize the extent of harperella habitat for the region between Sideling Hill Wildlife Management Area and Harper’s Ferry National Park. 2_Historical Image Analysis: Analysis consisted of visual examination and manual delineation of in-channel bars within the Potomac River and its larger tributaries, including the Cacapon River, lower Tonoloway Creek, Sleepy Creek, lower Lick Run, and Back Creek. This manual delineation was conducted for several dates of historic aerial imagery, including 2009, 2011, 2013, 2016, and 2017. Persistence of different parts of the in-channel bars over time was mapped by intersecting the 5 years of interpretations. 3_UAS image acqusition of AOIs: UAS imagery was collected to facilitate detailed observation, terrain modeling, and documentation of 10 AOIs (shown in figure). National Park Service regulations restrict the take-off and landing of UAS on park property, so the edge of in-channel bars within the Potomac River was used to enable line-of-sight UAS image acquisition covering the entire AOI. The USGS and the Aerial Vision Group, LLC sought permission to fly a small UAS from both the Maryland and West Virginia Department of Natural Resources (DNR). DEM and Orthophoto datasets are available by request - please email jdewitt@usgs.gov

This layer contains all waterbodies in Jefferson County, WV, including the Potomac River, Shenandoah River, and Opequon Creek.Layer was generated using several different years of aerial photography and may not reflect current ground conditions.For questions, please contact the Jefferson County GIS/Addressing Office at 304-724-6759 or gis@jeffersoncountywv.org.