20221121
09103600
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FGDC CSDGM Metadata
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Tamia Rudnicky
Comprehensive Coastal Inventory Program, Virginia Institute of Marine Science (VIMS))
GIS Programmer/Analyst
Virginia Institute of Marine Science
Gloucester Point
Virginia
23062
US
(804) 684-7181
Julie Bradshaw
Center for Coastal Resources Management, Virginia Institute of Marine Science
1375 Greate Road, P.O.Box 1346
Glouester Point
Virginia
23062
julieb@vims.edu
US
(804) 684-7894
Julie Bradshaw
Shapefile
File Geodatabase Feature Class
http://www.vims.edu/ccrm/research/inventory/virginia/index.php
246.734
Tidal Marsh Inventory (2010-2017)
2014-12-31T00:00:00
2018-01-04T00:00:00
Virginia Tidal Marsh Inventory
Center for Coastal Resources Management,
Virginia Institute of Marine Science, College of William and Mary, Gloucester Point, Virginia, 23062.
Center for Coastal Resources Management
Virginia Institute of Marine Science
Gloucester Point
Virginia
23062
US
ground condition
2009-06-01T00:00:00
2017-09-08T00:00:00
To maintain and update an inventory of the distribution of tidal marshes for the Commonwealth of Virginia.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The Virginia Institute of Marine Science published the first Tidal marsh Inventories using data collected in the early 1970's. </SPAN><SPAN>Using high resolution color infra-red imagery from 2009, 2011 and 2013 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.</SPAN></P><P><SPAN /></P><P><SPAN /></P></DIV></DIV></DIV>
Tidal Marsh Inventory
Virginia
Accomack
Alexandria
Charles City
Chesapeake
Chesterfield
Fairfax
Fredericksburg
Gloucester
Hampton
Hanover
Henrico
Hopewell
Isle of Wight
James City
King and Queen
King William
Lancaster
Mathews
Middlesex
New Kent
Newport News
Norfolk
Northampton
Northumberland
Poquoson
Portsmouth
Prince George
Prince William
Spotsylvania
Stafford
Suffolk
Surry
Virginia Beach
Westmoreland
Williamsburg
York
Virginia, Accomack, Alexandria, Charles City, Chesapeake, Chesterfield, Colonial Heights, Fairfax, Fredericksburg, Gloucester, Hampton, Hanover, Henrico, Hopewell, Isle of Wight, James City, King and Queen, King George, King William, Lancaster, Mathews, Middlesex, New Kent, Newport News, Norfolk, Northampton, Northumberland, Petersburg, Poquoson, Portsmouth, Prince George, Prince William, Spotsylvania, Stafford, Suffolk, Surry, Virginia Beach, Westmoreland, Williamsburg, York
Tidal marsh, wetland plant identification, wetland community type
Marcia Berman
Virginia Institute of Marine Science
Director Comprehensive Coastal Inventory Program
P.O. Box 1346
Gloucester Point
Virginia
23062
US
marcia@vims.edu
(804) 684-7188
Marcia Berman
Marcia Berman
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>The Comprehensive Coastal Inventory Program (CCI) provides these data with the understanding that it is not guaranteed to be correct or complete, and conclusions drawn from the data set are the sole responsibility of the user. See full TMI disclaimer page: http://ccrm.vims.edu/gis_data_maps/static_maps/gis/disclaimer.html or http://www.vims.edu/ccrm/research/inventory/index.php</SPAN></SPAN></P><P><SPAN><SPAN>VIMS CCRM must be cited with any use of this data. See Citation section of metadata for appropriate citation.</SPAN></SPAN></P></DIV></DIV></DIV>
For more information please visit http://www.vims.edu/ccrm/research/inventory/index.php
Julie Bradshaw
Center for Coastal Resources Management, Virginia Institute of Marine Science
1375 Greate Road, P.O.Box 1346
Glouester Point
Virginia
23062
julieb@vims.edu
US
(804) 684-7894
Esri ArcGIS 13.0.2.36056
1
-77.483501
-75.244070
38.859197
36.529198
Field collection of marsh data was performed primarily from a small shallow-draft vessel, navigating at slow speeds parallel to the shoreline. Surveys extended as far upstream as depth and field conditions allowed. Some additional data collection was performed by land where marshes were easily accessible from public lands. During surveys, marsh boundaries were verified, and wetland plant species observed within each marsh polygon were recorded along with relative cover estimates to determine marsh community types.
Processing Dates: summers 2009-2017
Corrections were made to the digital data back at the lab using ArcGis Version 10.0 or above.
Processing Dates: 2009 - present
Tidal marshes were delineated from 2009, 2011 and/or 2013 VBMP imagery using onscreen digitizing techniques at a scale of 1:1,000. Bing and Google Earth online imagery were used to provide additional interpretive information to improve the accuracy of marsh boundaries. Marsh polygons were coded by shape and physiographic setting based on a classification system applied in the first Tidal Marsh Inventories (in the 1970s). Quality assurance and control measures were performed prior to generation of maps for fieldwork. Processing Dates: 2009-2017
2015-03-01T00:00:00
VBMP imagery, with the marsh polygon layer overlay, was printed for use in field surveys of the marshes.
Processing Dates: 2009-2017
2015-04-01T00:00:00
Current Tidal Marsh Inventories (2010 to present) were merged together.
2018-01-04T00:00:00
Tidal marshes observed in the field are the only polygons to be coded for marsh community type. Field collection of marsh data was performed primarily from a small shallow-draft vessel. Surveys extended as far upstream as depth and field conditions allowed. During surveys, marsh boundaries were verified, and wetland plant species observed within each marsh polygon were recorded along with relative cover estimates to determine marsh community types. Some marshes were surveyed by land.
Polygons do not self intersect. Topology has been validated. There are no overlapping polygons, however, there may be small gaps between polygons.
EPSG
6.18.3(9.3.1.2)
Potential_2050_Wetlands
Feature Class
0
Virginia tidal marshes
processor
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0
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Shape
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0
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gridcode
gridcode
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0
0
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0
0
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Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated (when part of a geodatabase).
Five shape files combine to complete the Shoreline Inventory. The complete set includes va_lubc, va_astru, va_sstru, va_beaches, and va_TMI. The va_lubc (land use and bank cover) file is a linear shape file containing data about land use, tree fringe, bank height, bank cover, bank stability and beach status along the shoreline. Va_astru (access structure shape file) is a point shape file with locations of docks, dilapidated docks, boathouses, and private and public boat ramps. Va_sstru (shoreline structures) is a linear shape file delineating hard structures in place at the shoreline (bulkhead, dilapidated bulkhead, riprap, wharf, unconventional, debris, marina < 50 slips, marina > 50 slips, jetty, marsh toe revetment, groinfield and breakwaters). Va_beach is a linear shapefile showing the presence of beaches on the shoreline. As of 2016, beaches are digitized as a separate file and are no longer included in the _lubc shapefile. Va_TMI (tidal marsh inventory) shows the location, size, and community type of tidal marshes.
These shape files will be modified yearly with the addition of updated locality inventories. The PubYear field denotes the publication year of the county inventory. The jurisdiction is listed in the County field. Digital shoreline inventories began in 1998. Over the years, the methodology for collecting the data, as well as what data is collected has changed. For detailed information on a particular county, please visit the GIS Data and Maps: Shoreline Inventories web site at http://www.vims.edu/ccrm/research/inventory/index.php
Comprehensive Coastal Inventory Program, Virginia Institute of Marine Science, College of William and Mary, Gloucester Point, Virginia, 23062.
dataset
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TRUE
20221102