Virginia Geographic Information Network (VGIN) statewide aerial imagery mapping application. The imagery available for download is the most recent VBMP imagery for each area of Virginia

City of Virginia Beach aerial photography collected in January 2015 by Pictometry International Corp. Pixel resolution equals one foot.

The Virginia Geographic Information Network (VGIN) has coordinated and manages the development of a consistent, seamless, statewide digital road centerline file with address, road name, and state route number attribution, as part of the Virginia Base Mapping Program (VBMP). The Road Centerline Program (RCL) leverages the Commonwealth's investment in the VBMP digital orthophotography and is focused on creating a single statewide, consistent digital road file. The RCL data layer is a dynamic dataset supported and maintained by Virginia's Local Governments, VDOT, and VGIN. VBMP RCL is extracted and provided back to local governments and state agencies in many geographic data sets every quarter.

The U.S. Geological Survey has a long history of responding to and documenting the impacts of storms along the Nation’s coasts and incorporating these data into storm impact and coastal change vulnerability assessments. These studies, however, have traditionally focused on sandy shorelines and sandy barrier-island systems, without consideration of impacts to coastal wetlands. The goal of the Barrier Island and Estuarine Wetland Physical Change Assessment project is to integrate a wetland-change assessment with existing coastal-change assessments for the adjacent sandy dunes and beaches, initially focusing on Assateague Island along the Maryland and Virginia coastline. Assateague Island was impacted by waves and storm surge associated with the passage of Hurricane Sandy in October 2012, including erosion and overwash along the ocean-facing sandy shoreline as well as erosion and overwash deposition in the back-barrier and estuarine bay environments. This report serves as an archive of data that were derived from Landsat 5 and Landsat 8 imagery from 1984 to 2014, including wetland and terrestrial habitat extents; open-ocean, back-barrier, and estuarine mainland shoreline positions; and sand-line positions along the estuarine mainland and barrier shorelines from Assateague Island, Maryland to Metompkin Island, Virginia. The geographic information system data files with accompanying formal Federal Geographic Data Committee (FGDC) metadata can be downloaded from http://pubs.usgs.gov/ds/0968/ds968_data.html.

This U.S. Geological Survey (USGS) data release includes geospatial datasets that were created to analyze wetland changes along the Virginia and Maryland Atlantic coasts between 1984 and 2015. Wetland change was determined by assessing two metrics: wetland persistence and land-cover switching. Because seasonal water levels, beach width, and vegetation differences can affect change analyses, only images acquired during the spring (March, April, and May) were included in the wetland-change metrics (N=10). USGS Data Series 968 (Bernier and others, 2015) presented data that were derived from Landsat 5 and Landsat 8 imagery from 1984 to 2014, including wetland and terrestrial habitat extents; open-ocean, back-barrier, and estuarine mainland shoreline positions; and sand-line positions along the estuarine mainland and barrier shorelines from Assateague Island, Maryland to Metompkin Island, Virginia. As part of the wetland-change analyses, two additional satellite images (17-April-1985 and 05-May-2015) were processed and classified using the methods described by Bernier and others (2015) to provide a more complete time series dataset. One additional image (26-April-1994) was reprocessed to correct a classification error that was identified when comparing wetland and total analysis extents among all images.

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.NAIP is administered by the USDA's Farm Service Agency (FSA) through the Aerial Photography Field Office in Salt Lake City. This "leaf-on" imagery is used as a base layer for GIS programs in FSA's County Service Centers, and is used to maintain the Common Land Unit (CLU) boundaries.For more information, visit the NAIP Page at: https://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/index

This dataset is part of the larger data collection, “Aerial imagery object identification dataset for building and road detection, and building height estimation”, linked to in the references below and can be accessed here: https://dx.doi.org/10.6084/m9.figshare.c.3290519. For a full description of the data, please see the metadata: https://dx.doi.org/10.6084/m9.figshare.3504413.

Imagery data from the United States Geological Survey (USGS); building and road shapefiles are from OpenStreetMaps (OSM) (these OSM data are made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/); and the Lidar data are from U.S. National Oceanic and Atmospheric Administration (NOAA), the Texas Natural Resources Information System (TNRIS).

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.

Loudoun County annually obtains leaf-off, aerial imagery in the spring. Since 2004, the County has utilized this imagery to support the development of an annual digital orthophoto base. In 2024, the imagery was captured with a Vexcel Ultracam Eagle digital camera, in 4-band (R,G,B, and NIR) format. These files contain 1-foot ground-resolution, 8-bit, 4-band orthorectified aerial image map products in GeoTIFF version 6.0 file format. GeoTIFF files are uncompressed raster images complete with TFW coordinate information. The aerial imagery project encompasses the entire land area of the County of Loudoun, VA. Images were flown during leaf-off conditions and cover 5000' by 5000' and are tiled according to the VBMP 200-scale gridding schema (Virginia Geographic Information Network).

Assessing the physical change to shorelines and wetlands is critical in determining the resiliency of wetland systems that protect adjacent habitat and communities. The wetland and back-barrier shorelines of Assateague Island, located in Maryland and Virginia, changed as a result of wave action and storm surge that occurred during Hurricane Sandy, which made landfall on October 29, 2012. The impact of Hurricane Sandy will be assessed and placed in its historical context to understand the future vulnerability of wetland systems. Making these assessments will rely on data extracted from current and historical resources such as maps, aerial photographs, satellite imagery, and lidar elevation data, which document physical changes over time. This USGS Data Series publication includes several open-ocean shorelines, back-island shorelines, back-island shoreline points, sand area polygons, and sand lines for Assateague Island that were extracted from ortho imagery (ortho aerial photography)dated from April 12, 1989 to September 5, 2013.

Assessing the physical change to shorelines and wetlands is critical in determining the resiliency of wetland systems that protect adjacent habitat and communities. The wetland and back-barrier shorelines of Assateague Island, located in Maryland and Virginia, changed as a result of wave action and storm surge that occurred during Hurricane Sandy, which made landfall on October 29, 2012. The impact of Hurricane Sandy will be assessed and placed in its historical context to understand the future vulnerability of wetland systems. Making these assessments will rely on data extracted from current and historical resources such as maps, aerial photographs, satellite imagery, and lidar elevation data, which document physical changes over time. This USGS Data Series publication includes several open-ocean shorelines, back-island shorelines, back-island shoreline points, sand area polygons, and sand lines for Assateague Island that were extracted from orthoimagery (orthoaerial photography) dated from April 12, 1989 to September 5, 2013. This dataset consists of points that were digitized at the intersection of the back-island shoreline and a set of transects spaced at 20 meter (m) intervals. The transects, asis_transects_ln_20m_utm18.shp, are included in this Data Series publication and can be accessed via the Data Download page. Only one back-island shoreline/transect intersection point was digitized per transect. Orthoimagery of Assateague Island were acquired in digital format from U.S. Department of Agriculture (USDA), U.S. Geological Survey (USGS) and Virginia Geographic Information Network (VGIN) courtesy of the Commonwealth of Virginia. The following list provides additional details about the orthoimagery used. The back-island shoreline points for all dates have been compiled into one dataset (shapefile) named asis_bshrln_1989_2013_transect_guided.shp. The orthoimage date for each line is included in the shapefile attribute table Date_ field. Date State Type Source Resolution 198904129(1) MD DOQQ USGS 1 meter (m) 19940320 VA DOQQ USGS 1 m 20041105 VA NAIP USDA 2 m 20050608 VA NAIP USDA 2 m 20050615 MD NAIP USDA 1 m 20060528 VA NAIP USDA 2 m 20060701 MD NAIP USDA 2 m 20070622 MD NAIP USDA 1 m 20080525 VA NAIP USDA 1 m 20090626 MD NAIP USDA 1 m 20090726 VA NAIP USDA 1 m 20090807 VA NAIP USDA 1 m 20110530 VA NAIP USDA 1 m 20110602 MD NAIP USDA 1 m 20120512 VA NAIP USDA 1 m 20130315 VA VBMP VGIN(2) 1 m(3) 20130905 MD NAIP USDA 1 m DOQQ Digital Orthophoto Quarter Quads NAIP National Agriculture Imagery Program VBMP Virginia Base Mapping Program (1)Color Infrared orthoimagery; all others are natural color. (2)Imagery courtesy of the Commonwealth of Virginia. (3)Resampled from 1-foot resolution imagery.

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 ...

Imagery/Aerial2018_Tiled

description: These files contain Digital Orthophoto files for the State of Virginia developed from imagery acquired in spring 2007. In the spring of 2006, the Commonwealth of Virginia, through the Virginia Geographic Information Network Division (herein referred to as VGIN) of the Virginia Information Technologies Agency (VITA) contracted with the Sanborn Map Company to provide aerial data acquisition, ground control, aerotriangulation and development of statewide DTM and digital orthophotography. Approximately 15% of the State was acquired in the year 2006 and the balance in 2007. All data acquired in 2006 is jurisdiction based. The data acquired in 2007 includes overlap along the boundaries of jurisdictions captured in the previous year 2006. This ensures each jurisdiction has full coverage from either Year 2006 or 2007 without 'mixing' imagery vintage along the edge of a jurisdiction. The project encompasses the entire land area of the Commonwealth of Virginia. The State boundary is buffered by 1000'. Coastal areas of the State bordering the Atlantic Ocean or the Chesapeake Bay are buffered by 1000' or the extent of man-made features extending from shore. The entire State was intially designed to support 1"=200' (1:2400) scale mapping. Jurisdictions throughout the State were provided an option to upgrade to a 1"=100' (1:1200) map scale. All data development processes for the DTM conform to the ASPRS Draft Aerial Photography Standards (1995) and Model Virginia Map Accuracy Standards (1992), which generally follow the ASPRS Accuracy Standard for Large-Scale Mapping (1990) for relevant mapping scales. The DTM supports the creation of 6-inch or 1-foot map orthoimagery at the relevant scales.; abstract: These files contain Digital Orthophoto files for the State of Virginia developed from imagery acquired in spring 2007. In the spring of 2006, the Commonwealth of Virginia, through the Virginia Geographic Information Network Division (herein referred to as VGIN) of the Virginia Information Technologies Agency (VITA) contracted with the Sanborn Map Company to provide aerial data acquisition, ground control, aerotriangulation and development of statewide DTM and digital orthophotography. Approximately 15% of the State was acquired in the year 2006 and the balance in 2007. All data acquired in 2006 is jurisdiction based. The data acquired in 2007 includes overlap along the boundaries of jurisdictions captured in the previous year 2006. This ensures each jurisdiction has full coverage from either Year 2006 or 2007 without 'mixing' imagery vintage along the edge of a jurisdiction. The project encompasses the entire land area of the Commonwealth of Virginia. The State boundary is buffered by 1000'. Coastal areas of the State bordering the Atlantic Ocean or the Chesapeake Bay are buffered by 1000' or the extent of man-made features extending from shore. The entire State was intially designed to support 1"=200' (1:2400) scale mapping. Jurisdictions throughout the State were provided an option to upgrade to a 1"=100' (1:1200) map scale. All data development processes for the DTM conform to the ASPRS Draft Aerial Photography Standards (1995) and Model Virginia Map Accuracy Standards (1992), which generally follow the ASPRS Accuracy Standard for Large-Scale Mapping (1990) for relevant mapping scales. The DTM supports the creation of 6-inch or 1-foot map orthoimagery at the relevant scales.

Salt marshes of the Northeastern United States (Maine to Virginia) are vulnerable to loss given their history of intensive human alteration. One direct human modification – ditching – was common across the Northeast for salt hay farming since European Colonization and for mosquito control in the first half of the 20th century. We hand-digitized linear ditches across Northeastern intertidal emergent wetlands from contemporary aerial imagery within the bounds of the National Wetland Inventory's Estuarine Intertidal Emergent Wetland areas.

Open Data link to the rest service page for Aerial Imagery 2018. See original details page for further information (http://chesva.maps.arcgis.com/home/item.html?id=d334a5c9c7b349beb22b531dcdf2d957).

Aerial imagery collected in Jan. 2019 at 6" pixel resolution.

Open Data link to the rest service page for Aerial Imagery 2016. See original details page for further information (http://chesva.maps.arcgis.com/home/item.html?id=c7970130c6c047a5baccf6fb7ef49c3a).

Open Data link to the rest service page for Aerial Imagery 2020. See original details page for further information (https://chesva.maps.arcgis.com/home/item.html?id=f6df1b57e90f4b12b90bb41f82176844)

This layer contains a change analysis from 1973 to 2001 based on analysis of satellite imagery. A NALC image from 1973 with 60-m resolution was classified using unsupervised classification into 100 classes. These classes were subsequently recoded into 5 classes (Woody, Herbaceous, Bare, Marsh and Water) based on comparisions with maps and aerial photos. The same procedure was followed for a 2001 ETM+ image that had been resampled to 15-m resolution. The recoded layers were converted to vector shapefiles and intersected to create this data layer. Subsequently, codes were added to recode the polygons into and to 3 classes (upland, marsh, water) and the area and perimeter of each polygon was calculated. FGDC Metadata: Identification Information: Citation: Citation information: Originators: John H. Porter Title: Change data layer for the Virginia Coast Reserve, 1973-2001 - VCR05133 *File or table name: vbi1970_2001c5_Intersect_N83 Publication date: 12/22/2005 *Geospatial data presentation form: vector digital data *Online linkage: \MAP1\d\jhp7e\vbi1970_2001c5_Intersect_N83.shp Description: Abstract: This layer contains a change analysis from 1973 to 2001 based on analysis of satellite imagery. A NALC image from 1973 with 60-m resolution was classified using unsupervised classification into 100 classes. These classes were subsequently recoded into 5 classes (Woody, Herbaceous, Bare, Marsh and Water) based on comparisions with maps and aerial photos. The same procedure was followed for a 2001 ETM+ image that had been resampled to 15-m resolution. The recoded layers were converted to vector shapefiles and intersected to create this data layer. Subsequently, codes were added to recode the polygons into and to 3 classes (upland, marsh, water) and the area and perimeter of each polygon was calculated. Purpose: To detect changes on the coast of Virginia. *Language of dataset: en Time period of content: Time period information: Multiple dates/times: Single date/time: Calendar date: 08/12/1973 Single date/time: Calendar date: 08/27/2001 Currentness reference: ground condition Status: Progress: Complete Maintenance and update frequency: None planned Spatial domain: Bounding coordinates: *West bounding coordinate: -76.112114 *East bounding coordinate: -75.135130 *North bounding coordinate: 38.237583 *South bounding coordinate: 37.046598 Local bounding coordinates: *Left bounding coordinate: 402666.874551 *Right bounding coordinate: 487984.802095 *Top bounding coordinate: 4232184.738430 *Bottom bounding coordinate: 4100601.786647 Minimum altitude: -30 Maximum altitude: 30 Altitude units: m Keywords: Theme: Theme keywords: Change analysis Theme keyword thesaurus: None Place: Place keywords: Delmarva Peninsula Place keyword thesaurus: None Access constraints: VCR/LTER Data License required Use constraints: Bona fide scientific research. This is not a legal document Point of contact: Contact information: Contact person primary: Contact person: John Porter Contact organization: Virginia Coast Reserve Long-Term Ecological Research, University of Virginia Contact address: Address type: mailing and physical address Address: 291 McCormick Road Address: PO Box 400123 City: Charlottesville State or province: VA Postal code: 22904-4123 Country: USA Contact voice telephone: 434-924-8999 Contact facsimile telephone: 434-982-2137 Contact electronic mail address: jhp7e@virginia.edu Data set credit: John H. Porter, Virginia Coast Reserve Long-Term Ecological Research, University of Viriginia, Charlottesville, VA 22904 USA *Native dataset format: Shapefile *Native data set environment: Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.0.0.535 Cross reference: Citation information: Title: VCR05113 - Change analysis of the Virginia Coast 1973-2001 Back to Top -------------------------------------------------------------------------------- Data Quality Information: Positional accuracy: Horizontal positional accuracy: Horizontal positional accuracy report: 60-m pixels were used for the 1973 image. Quantitative horizontal positional accuracy assessment: Horizontal positional accuracy value: 60 Horizontal positional accuracy explanation: 60-m pixels were used for the 1973 image. Lineage: Process step: Process description: Dataset copied. Back to Top -------------------------------------------------------------------------------- Spatial Data Organization Information: *Direct spatial reference method: Vector Point and vector object information: SDTS terms description: *Name: vbi1970_2001c5_Intersect_N83 *SDTS point and vector object type: G-polygon *Point and vector object count: 356534 ESRI terms description: *Name: vbi1970_2001c5_Intersect_N83 *ESRI feature type: Simple *ESRI feature geometry: Polygon *ESRI