Description: Shoreline Situation Reports (SSR) were first generated by VIMS in the 1970's to report the condition and status of the shore lands. The SSR series were published in hardcopy on a county by county basis for each Tidewater Virginia localities. The reports were intended to assist planners, managers, and regulators in decisions pertaining to management of coastal areas and natural resources therein. This Shoreline Inventory report continues a process which updates and expands the earlier reports. Data collected reports conditions surveyed in the immediate riparian zone, the bank, and along the shoreline. This dataset is the result of combining the most recent digital shoreline inventories for Virginia.
Description: Shoreline Situation Reports (SSR) were first generated by VIMS in the 1970's to report the condition and status of the shore lands. The SSR series were published in hardcopy on a county by county basis for each Tidewater Virginia localities. The reports were intended to assist planners, managers, and regulators in decisions pertaining to management of coastal areas and natural resources therein. This Shoreline Inventory report continues a process which updates and expands the earlier reports. Data collected reports conditions surveyed in the immediate riparian zone, the bank, and along the shoreline. This dataset is the result of combining the most recent digital shoreline inventories for Virginia.
Description: Shoreline Situation Reports (SSR) were first generated by VIMS in the 1970's to report the condition and status of the shore lands. The SSR series were published in hardcopy on a county by county basis for each Tidewater Virginia localities. The reports were intended to assist planners, managers, and regulators in decisions pertaining to management of coastal areas and natural resources therein. This Shoreline Inventory report continues a process which updates and expands the earlier reports. Data collected reports conditions surveyed in the immediate riparian zone, the bank, and along the shoreline. This dataset is the result of combining the most recent digital shoreline inventories for Virginia.
Description: In 2011, the Virginia General Assembly adopted a policy into law that specifies living shorelines as the preferred management practice for erosion control in Virginia waters. In accordance with the law, the Commonwealth defines a living shoreline as ... "... a shoreline management practice that provides erosion control and water quality benefits; protects, restores or enhances natural shoreline habitat; and maintains coastal processes through the strategic placement of plants, stone, sand fill, and other structural and organic materials".The Center for Coastal Resources Management (CCRM) at the Virginia Institute of Marine Science (VIMS) has been developing tools for several years to guide local governments in shoreline management. In particular, they have focused on the use of ecologically preferred alternatives for erosion control and have conducted research into refining the appropriate uses for a large suite of possible treatments based on existing shoreline conditions. A series of Decision Trees were developed to determine shoreline best management practices when conducting onsite inspections. These were developed to support integrated guidance at the management and regulatory level.This body of work has been expanded and re-developed as a GIS spatial model known as the Shoreline Management Model (SMM) to determine appropriate shoreline best management practices from the desk-top using available spatial data and the decision tree logic. The assessment is conducted at parcel level scale but the output represents a reach based or cumulative approach to shoreline management. The variables used in the SMM include fetch, nearshore bathymetry, bank condition, bank height, marsh presence, beach presence, tree canopy presence, and permanent structures within the riparian zone. Version 5 adds existing shoreline erosion control structures, and the presence of submerged aquatic vegetation (SAV) to enhance the models capabilities for evaluating best management practices along shorelines that have already been hardened or where erosion control practices may impact SAV.Most appropriate for desk-top reviews, regulatory compliance and comprehensive planning, the recommendations derived from the SMM may be altered due to lot size, shoreline length along a single parcel, proximity of primary buildings to the shoreline, type of existing erosion control structures, land use practices, and local biota. The output of the SMM is delivered to the end user in two ways: interactive map viewer, and digital shape file.
Copyright Text: Center for Coastal Resources Management (CCRM), Virginia Institute of Marine Science (VIMS),
Description: Shoreline for inventories published prior to 2015 were digitized along the land-water interface. Beginning in 2015, the inventory shoreline was digitized along the upland interface with water, marsh, or beach. To create a water interface shoreline for the post 2015 inventories, the upland shoreline was combined with the outlines of the Tidal Marsh Inventory polygons to produce a mapped shoreline that represents the boundary between the water and the upland, or the water and the marsh. This shoreline dataset is the result of combining the most recent digital water interface shoreline from inventories for Virginia.
Description: The Virginia Institute of Marine Science published the first Tidal marsh Inventories using data collected in the early 1970's. Using high resolution color infra-red imagery from 2009, 2011, 2013 and 2017 new Tidal Marsh Inventories have been developed beginning in 2010. Marsh boundaries were generated using heads-up digitizing techniques at a scale of 1:1,000. From 2010 through 2014 marsh polygons were classified by morphologic type: fringe, extensive, embayed, or marsh island. Beginning in 2015, morphologic classification was discontinued. Marshes were ground-truthed in the field where a community type index was assigned to each marsh based on plant community make-up.
Description: The Virginia Institute of Marine Science published the first Tidal marsh Inventories using data collected in the early 1970's. Using high resolution color infra-red imagery from 2009, 2011, 2013 and 2017 new Tidal Marsh Inventories have been developed beginning in 2010. Marsh boundaries were generated using heads-up digitizing techniques at a scale of 1:1,000. From 2010 through 2014 marsh polygons were classified by morphologic type: fringe, extensive, embayed, or marsh island. Beginning in 2015, morphologic classification was discontinued. Marshes were ground-truthed in the field where a community type index was assigned to each marsh based on plant community make-up.
Description: River systems where developed based on HUC boundaries and logical breaks where two rivers merge. These are not "official" boundaries, but rather general boundaries to help divide a locality's shoreline into logical groups for summarizing the Virginia Shoreline Inventory and Shoreline Management Model v5.1 data.
Copyright Text: Center for Coastal Resources Management (CCRM) at Virginia Institute of Marine Science (VIMS)
Description: The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" “Standard” (http://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level) for the entire United States. Some areas may also include additional subdivisions representing the 14- and 16-digit hydrologic unit (HU). At a minimum, the HUs are delineated at 1:24,000-scale in the conterminous United States, 1:25,000-scale in Hawaii, Pacific basin and the Caribbean, and 1:63,360-scale in Alaska, meeting the National Map Accuracy Standards (NMAS). Higher resolution boundaries are being developed where partners and data exist and will be incorporated back into the WBD. WBD data are delivered as a dataset of polygons and corresponding lines that define the boundary of the polygon. WBD polygon attributes include hydrologic unit codes (HUC), size (in the form of acres and square kilometers), name, downstream hydrologic unit code, type of watershed, non-contributing areas, and flow modifications. The HUC describes where the unit is in the country and the level of the unit. WBD line attributes contain the highest level of hydrologic unit for each boundary, line source information and flow modifications.
Copyright Text: Funding for the Watershed Boundary Dataset (WBD) was provided by the USDA-NRCS, USGS and EPA along with other federal, state and local agenciesies. Representatives from many agencies contributed a substantial amount of time and salary towards quality review and updating of the dataset in order to meet the WBD Standards. Acknowledgment of the originating agencies would be appreciated in products derived from these data. See dataset specific metadata for further information
Description: The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" “Standard” (http://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level) for the entire United States. Some areas may also include additional subdivisions representing the 14- and 16-digit hydrologic unit (HU). At a minimum, the HUs are delineated at 1:24,000-scale in the conterminous United States, 1:25,000-scale in Hawaii, Pacific basin and the Caribbean, and 1:63,360-scale in Alaska, meeting the National Map Accuracy Standards (NMAS). Higher resolution boundaries are being developed where partners and data exist and will be incorporated back into the WBD. WBD data are delivered as a dataset of polygons and corresponding lines that define the boundary of the polygon. WBD polygon attributes include hydrologic unit codes (HUC), size (in the form of acres and square kilometers), name, downstream hydrologic unit code, type of watershed, non-contributing areas, and flow modifications. The HUC describes where the unit is in the country and the level of the unit. WBD line attributes contain the highest level of hydrologic unit for each boundary, line source information and flow modifications.
Copyright Text: Funding for the Watershed Boundary Dataset (WBD) was provided by the USDA-NRCS, USGS and EPA along with other federal, state and local agenciesies. Representatives from many agencies contributed a substantial amount of time and salary towards quality review and updating of the dataset in order to meet the WBD Standards. Acknowledgment of the originating agencies would be appreciated in products derived from these data. See dataset specific metadata for further information
Description: The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" "Standard" (http://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level) for the entire United States. Some areas may also include additional subdivisions representing the 14- and 16-digit hydrologic unit (HU). At a minimum, the HUs are delineated at 1:24,000-scale in the conterminous United States, 1:25,000-scale in Hawaii, Pacific basin and the Caribbean, and 1:63,360-scale in Alaska, meeting the National Map Accuracy Standards (NMAS). Higher resolution boundaries are being developed where partners and data exist and will be incorporated back into the WBD. WBD data are delivered as a dataset of polygons and corresponding lines that define the boundary of the polygon. WBD polygon attributes include hydrologic unit codes (HUC), size (in the form of acres and square kilometers), name, downstream hydrologic unit code, type of watershed, non-contributing areas, and flow modifications. The HUC describes where the unit is in the country and the level of the unit. WBD line attributes contain the highest level of hydrologic unit for each boundary, line source information and flow modifications.
Copyright Text: Funding for the Watershed Boundary Dataset (WBD) was provided by the USDA-NRCS, USGS and EPA along with other federal, state and local agenciesies. Representatives from many agencies contributed a substantial amount of time and salary towards quality review and updating of the dataset in order to meet the WBD Standards. Acknowledgment of the originating agencies would be appreciated in products derived from these data. See dataset specific metadata for further information
Description: The VA_TOWN dataset is a feature class component of the Virginia Administrative Boundaries dataset from the Virginia Geographic Information Network (VGIN). VA_COUNTY represents the best available city and county boundary information to VGIN.VGIN initially sought to develop an improved locality and town boundary dataset in late 2013, spurred by response of the Virginia Administrative Boundaries Workgroup community. The feature class initially started from the locality boundaries from the Census TIGER dataset for Virginia. VGIN solicited input from localities in Virginia through the Road Centerlines data submission process as well as through public forums such as the Virginia Administrative Boundaries Workgroup and VGIN listservs. Data received were analyzed and incorporated into the VA_COUNTY feature class where locality data were a superior representation of the city or county boundary.
Copyright Text: Virginia Geographic Information Network (VGIN), and the Census and Localities and Towns submitting data to the project
Description: The VA_TOWN dataset is a feature class component of the Virginia Administrative Boundaries dataset from the Virginia Geographic Information Network (VGIN). VA_COUNTY represents the best available city and county boundary information to VGIN.VGIN initially sought to develop an improved locality and town boundary dataset in late 2013, spurred by response of the Virginia Administrative Boundaries Workgroup community. The feature class initially started from the locality boundaries from the Census TIGER dataset for Virginia. VGIN solicited input from localities in Virginia through the Road Centerlines data submission process as well as through public forums such as the Virginia Administrative Boundaries Workgroup and VGIN listservs. Data received were analyzed and incorporated into the VA_COUNTY feature class where locality data were a superior representation of the city or county boundary.
Copyright Text: Virginia Geographic Information Network (VGIN), and the Census and Localities and Towns submitting data to the project
Description: This layer was created using a digitized upland shoreline line available for counties completed after 2015. For other counties, the shoreline was digitized at the land water boundaries (at the outer edge of tidal marshes). This line was converted into a polygon. The Tidal Marsh Inventory (TMI) combined for all years was then erased from this water interface shoreline polygon. Essentially, this subtracts marshes from the water interface polygon. This polygon was converted back to a line and then merged with the upland shoreline for post-2015 localities.
Copyright Text: Center for Coastal Resources Management (CCRM)
Description: The Virginia Institute of Marine Science published the first Tidal marsh Inventories using data collected in the early 1970's. Using high resolution color infra-red imagery from 2009, 2011, 2013 and 2017 new Tidal Marsh Inventories have been developed beginning in 2010. Marsh boundaries were generated using heads-up digitizing techniques at a scale of 1:1,000. From 2010 through 2014 marsh polygons were classified by morphologic type: fringe, extensive, embayed, or marsh island. Beginning in 2015, morphologic classification was discontinued. Marshes were ground-truthed in the field where a community type index was assigned to each marsh based on plant community make-up.
Description: The Virginia Institute of Marine Science published the first Tidal marsh Inventories using data collected in the early 1970's. Using high resolution color infra-red imagery from 2009, 2011, 2013 and 2017 new Tidal Marsh Inventories have been developed beginning in 2010. Marsh boundaries were generated using heads-up digitizing techniques at a scale of 1:1,000. From 2010 through 2014 marsh polygons were classified by morphologic type: fringe, extensive, embayed, or marsh island. Beginning in 2015, morphologic classification was discontinued. Marshes were ground-truthed in the field where a community type index was assigned to each marsh based on plant community make-up.