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2009 York County, Virginia Shoreline Inventory Report Methods and Guidelines
Berman, Marcia Berquist, Harry Killeen, Sharon Hershner, Carl Nunez, Karinna Reay, Karen Rudnicky, Tamia Schatt, Daniel E. Weiss, David
Berman, Marcia
Berquist, Harry
Killeen, Sharon
Hershner, Carl
Nunez, Karinna
Reay, Karen
Rudnicky, Tamia
Schatt, Daniel E.
Weiss, David
Abstract
The data inventory developed for the Shoreline Inventory is based on a three tiered shoreline assessment approach. In most cases this assessment characterizes conditions that can be observed from a small boat navigating along the shoreline. The three tiered shoreline assessment approach divides the shorezone into three regions: 1) the immediate riparian zone, evaluated for land use; 2) the bank, evaluated for height, stability, cover and natural protection; and 3) the shoreline, describing the presence of shoreline structures for shore protection and recreational purposes. The 2009 Inventory for York County was updated using on-screen, digitizing techniques in ArcMap v10.0 while viewing conditions observed in 2012 online Bing high resolution oblique imagery and 2011 imagery from the Virginia Base Mapping Program (VBMP). These data sources allowed the inventory to be updated without additional field work. Three GIS shapefiles are developed. The first describes land use and bank conditions (yorkco_lubc_2013). The second reports shoreline structures that are described as arcs or lines (yorkco_sstru_2013). The final shapefile includes all structures that are represented as points (yorkco_astru_2013). The shapefiles use a shoreline basemap updated in-house from the VBMP2011 high resolution digital terrain model. The shoreline is re-coded to reflect features and attributes observed. The metadata file accompanies the shapefiles and defines attribute accuracy, data development, and any use restrictions that pertain to data.
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2009-11-01
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Shoreline Inventory Reports
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Special Reports in Applied Marine Science and Ocean Engineering (SRAMSOE), Shoreline Inventories, Virginia, GIS, Management, Data
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Virginia Institute of Marine Science
DOI
https://doi.org/10.21220/V5VT72