20141117 18133700 1.0 North American Profile of ISO19115 2003 TRUE WBD provides a uniquely identified and uniform method of subdividing large drainage areas. The data is intended to be used as a tool for water-resource management and planning activities, particularly for site-specific and localized studies requiring a level of detail provided by large-scale map information. The Watershed Boundary Dataset (WBD) defines the areal extent of surface water drainage to a point, accounting for all land and surface areas. Watershed Boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. The intent of defining Hydrologic Units (HU) for the Watershed Boundary Dataset is to establish a baseline drainage boundary framework, accounting for all land and surface areas. At a minimum, the WBD is being delineated and georeferenced to the USGS 1:24,000 scale topographic base map meeting National Map Accuracy Standards (NMAS). Salinas River WatershedSalinas RiverSalinaswatershed Polygon of the Salinas River Watershed. Obtained from USGS and USDA-NRCS 8 digit watershed boundary dataset. See official description for more details. 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