The Communities at Sea maps use Vessel Trip Report location point data as input to create density polygons representing visitation frequency ("fisherdays"). The data show total labor including crew time and the time spent in transit to and from fishing locations. They do not show other variables such as vessel value or number of pounds landed. The results can be interpreted as maps of "community presence." This layer shows data for the large bottom trawl fishing gear group for Beaufort, NC from 2011-2015.

These data were automated to provide an accurate high-resolution historical shoreline of Beaufort, NC suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://inport.nmfs.noaa.gov/inport/item/39808

U.S. Counties represents the counties of the United States in the 50 states, the District of Columbia, and Puerto Rico.

These data were automated to provide an accurate high-resolution historical shoreline of Sugar Loaf Island to Beaufort Inlet, NC suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://inport.nmfs.noaa.gov/inport/item/39808

Summary:With funding from the Albemarle-Pamlico National Estuary Partnership (APNEP) and field and technical support from the NC Division of Marine Fisheries (NC-DMF) and the National Oceanic and Atmospheric Administration (NOAA) Beaufort Laboratory, digital data of coastal submerged aquatic vegetation (SAV) was mapped by APNEP and NOAA-Beaufort for imagery years 2012-2014. In addition to its role as critical habitat for many aquatic fauna species, SAV is an important bio-indicator of environmental health because of its sensitivity to aquatic stressors. The ability to detect SAV is critical in understanding ecosystem health and effects of restoration and protection activities. Because SAV distribution, abundance, and density varies seasonally and annually in response to climatic variability, large-scale SAV changes may occur; thus, due to its dynamic nature, these data need to be continually updated as monitoring continues in the APNEP region.This is the second mapping effort led by APNEP to map the distribution, abundance, and change of SAV in North Carolina; the first effort was mapped for imagery years 2006-2008 (those data are also publicly available).Purpose:These data were created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS) and are intended for research or planning projects that will contribute to better protection for the ecological features involved. APNEP should be contacted prior to use of this dataset to ensure and confirm its currency.Mapping Extent:Visible SAV was mapped along the coast of North Carolina. This extent encompasses the high-salinity coastal zone that lies within the APNEP regional boundary (Hwy. 64 Bridge of Roanoke Sound south to Bogue Inlet).Completeness Report:These data represent the locations of visible SAV, as could be digitized from remotely-sensed imagery. A substantial portion of SAV beds remain invisible from remote sensing due to environmental factors above (e.g., haze and clouds), on (e.g., white caps), and below (e.g., turbidity) the water's surface.Imagery Acquisition:All imagery was collected with Intergraphs Z/I Digital Mapping Camera (DMC). Aircraft height was 3,048 m for a final imagery product with a 0.3 m pixel size.Currituck Sound, North Carolina, and Back Bay, Virginia, were collected on October 12, 2012.Bogue Sound and Back Sound were collected on May 27, 2013.Pamlico Sound from the Hwy. 64 bridge at Roanoke Sound south to Ocracoke Inlet was collected on May 30, 2013.Core Sound was collected on July 1, 2014. Map Digitization:The imagery was loaded into ArcGIS for manual on-screen digitizing using procedures described in Rohman and Monaco (2005). Digitizing scale was set between 1:2,000 and 1:3,000. Habitat boundaries were delineated around benthic habitat features (e.g., areas with visually discernible differences in color and texture patterns). The scanned images were occasionally manipulated in terms of brightness, contrast and color balance to enhance interpretability of subtle features and boundaries. The minimum mapping unit (MMU) is generally defined as the smallest feature (e.g., an individual SAV bed) or aggregate of features (e.g., SAV patches) that is delineated using a given source of imagery. For this study the MMU was approximately 0.2 ha, or in general patches that were at least 15 m across on their longest axis.Environmental conditions, including turbidity and cloud cover were determined to be insufficient for accurate delineation of 2012 imagery from Currituck Sound and Back Bay and 2014 imagery of Core Sound; thus, these areas are not included in this mapping project.Attributes/Values:CLASS: Type of classification for SAV polygonCONTINUOUS: A polygon with 70-100% SAV coveragePATCHY: A polygon with 5-70% SAV coverageACRES: SAV polygon area in acresHECTARES: SAV polygon area in hectaresCredits:NCDEQ / APNEP / NCDMF / NCDOT / NOAAFor more information, please view the metadata and visit the APNEP SAV Monitoring website.