7 datasets found
  1. Pender 1:250 000 GIS Dataset

    • researchdata.edu.au
    • datadiscoverystudio.org
    Updated 2006
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    Geoscience Australia; Geoscience Australia (2006). Pender 1:250 000 GIS Dataset [Dataset]. https://researchdata.edu.au/pender-1250-000-gis-dataset/3421131
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    Dataset updated
    2006
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    Authors
    Geoscience Australia; Geoscience Australia
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    http://creativecommons.org/licenses/http://creativecommons.org/licenses/

    Area covered
    Description

    This data is part of the series of maps that covers the whole of Australia at a scale of 1:250 000 (1cm on a map represents 2.5km on the ground) and comprises 513 maps. This is the largest scale at which published topographic maps cover the entire continent.
    Data is downloadable in various distribution formats.

  2. Commonwealth of Australia (Geoscience Australia)

    • dev.ecat.ga.gov.au
    Updated Jan 1, 2006
    + more versions
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    Pender 1:250 000 GIS Dataset (2006). Commonwealth of Australia (Geoscience Australia) [Dataset]. https://dev.ecat.ga.gov.au/geonetwork/srv/api/records/a05f7892-ce2b-7506-e044-00144fdd4fa6
    Explore at:
    www:link-1.0-http--linkAvailable download formats
    Dataset updated
    Jan 1, 2006
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    Pender 1:250 000 GIS Dataset
    Area covered
    Description

    This data is part of the series of maps that covers the whole of Australia at a scale of 1:250 000 (1cm on a map represents 2.5km on the ground) and comprises 513 maps. This is the largest scale at which published topographic maps cover the entire continent. Data is downloadable in various distribution formats.

  3. w

    Neighborhoods, Published in Not Provided, Pender County Government.

    • data.wu.ac.at
    Updated Aug 19, 2017
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    NSGIC Local Govt | GIS Inventory (2017). Neighborhoods, Published in Not Provided, Pender County Government. [Dataset]. https://data.wu.ac.at/schema/data_gov/NjkyNWFhMTEtZTQ4MS00MGU4LTkwYWUtODdlZWQ3NDYyNTQy
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    Dataset updated
    Aug 19, 2017
    Dataset provided by
    NSGIC Local Govt | GIS Inventory
    Area covered
    4ad537b3ee2200fbc06fff48e3b932b5f41878b4
    Description

    Neighborhoods dataset current as of unknown.

  4. n

    NC Orthoimagery 2020 (WMS)

    • nconemap.gov
    • hub.arcgis.com
    • +1more
    Updated Apr 8, 2025
    + more versions
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    NC OneMap / State of North Carolina (2025). NC Orthoimagery 2020 (WMS) [Dataset]. https://www.nconemap.gov/maps/605132be370e42f0b251acbe76d691b7
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    Dataset updated
    Apr 8, 2025
    Dataset authored and provided by
    NC OneMap / State of North Carolina
    License

    https://nconemap.gov/pages/termshttps://nconemap.gov/pages/terms

    Area covered
    Description

    NOTE: DO NOT DOWNLOAD THE IMAGERY BY USING THE MAP OR DOWNLOAD TOOLS ON THIS ARCGIS HUB ITEM PAGE. IT WILL RESULT IN A PIXELATED ORTHOIMAGE. INSTEAD, DOWNLOAD THE IMAGERY BY TILE OR BY COUNTY MOSAIC (2010 - current year).To view the latest imagery for any location in the state, customers should use the "Orthoimagery_Latest" image service which can be found at https://nconemap.gov.To view the latest imagery that is suitable for raster analysis, customers should use the "Orthoimagery_Latest_Analysis" image service which can be found at https://nconemap.gov.To find specific dates the images were captured use the imagery dates app or download the data.Metadata:Summary metadata for orthoimagery mosaicsSummary metadata for orthoimagery tilesContractor-specific metadata for Camden, Chowan, Currituck, Gates, Pasquotank, and Perquimans countiesContractor-specific metadata for Beaufort, Bertie, Greene, Hertford, Martin, and Pitt countiesContractor-specific metadata for Dare, Hyde, Tyrrell, and Washington countiesContractor specific metadata for Carteret, Craven, Jones, Lenoir (east side), Onslow and Pamlico Counties, plus smaller portions of Pender (SE-115 tiles) and Duplin (5 tiles)Contractor specific metadata for Brunswick, Columbus, Duplin, Jones, Lenoir, New Hanover, and Pender counties

  5. a

    NC Orthoimagery 2024 (WCS)

    • nc-onemap-2-nconemap.hub.arcgis.com
    Updated Apr 8, 2025
    + more versions
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    NC OneMap / State of North Carolina (2025). NC Orthoimagery 2024 (WCS) [Dataset]. https://nc-onemap-2-nconemap.hub.arcgis.com/content/cadc9aa69f714d3c876172827076f0cb
    Explore at:
    Dataset updated
    Apr 8, 2025
    Dataset authored and provided by
    NC OneMap / State of North Carolina
    License

    https://nconemap.gov/pages/termshttps://nconemap.gov/pages/terms

    Area covered
    Description

    Since 2020, the NC Orthoimagery Program has collected 4-band imagery (red, green, blue, near infrared) to support image analysis. The 2024 imagery collection includes the 27 counties representing the Coastal Plain region of North Carolina. This version of the data is presented as true color (red, green, blue) imagery and is best used for general or background viewing. The imagery was flown in early 2024 as part of the NC Orthoimagery Program and has a pixel resolution of 6 inches. The RMSE is 1.0 ft X and Y.

    NOTE: DO NOT DOWNLOAD THE IMAGERY BY USING THE MAP OR DOWNLOAD TOOLS ON THIS ARCGIS HUB ITEM PAGE. IT WILL RESULT IN A PIXELATED ORTHOIMAGE. INSTEAD, DOWNLOAD THE IMAGERY BY TILE OR BY COUNTY MOSAIC (2010 - current year).To view the latest imagery for any location in the state, customers should use the "Orthoimagery_Latest" image service which can be found at https://nconemap.gov.To view the latest imagery that is suitable for raster analysis, customers should use the "Orthoimagery_Latest_Analysis" image service which can be found at https://nconemap.gov.To find specific dates the images were captured use the imagery dates app or download the data.Metadata:Summary metadata for orthoimagery mosaicsSummary metadata for orthoimagery tilesContractor-specific metadata for Camden, Chowan, Currituck, Dare, Gates, Perquimans, and Pasquotank countiesContractor-specific metadata for Bertie, Beaufort, Greene, Hertford, Martin, and Pitt countiesContractor-specific metadata for Dare, Hyde, Tyrrell, and Washington countiesContractor-specific metadata for Carteret, Craven, Jones, Lenoir (east side), Onslow, Pamlico and Pender (east side: 115 tile) counties, plus a smaller portion of Duplin (5 tiles)Contractor-specific metadata for Brunswick, Columbus, Duplin, Jones, Lenoir, New Hanover, Pender counties

  6. n

    North Carolina Effective Flood Zones

    • nconemap.gov
    • hub.arcgis.com
    Updated May 6, 2019
    + more versions
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    State of North Carolina - Emergency Management (2019). North Carolina Effective Flood Zones [Dataset]. https://www.nconemap.gov/maps/a178aae74ee347d786e853e5a442eea2
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    Dataset updated
    May 6, 2019
    Dataset authored and provided by
    State of North Carolina - Emergency Management
    Area covered
    Description

    North Carolina Effective Flood zones: In 2000, the Federal Emergency Management Agency (FEMA) designated North Carolina a Cooperating Technical Partner State, formalizing an agreement between FEMA and the State to modernize flood maps. This partnership resulted in creation of the North Carolina Floodplain Mapping Program (NCFMP). As a CTS, the State assumed primary ownership and responsibility of the Flood Insurance Rate Maps (FIRMs) for all North Carolina communities as part of the National Flood Insurance Program (NFIP). This project includes conducting flood hazard analyses and producing updated, Digital Flood Insurance Rate Maps (DFIRMs). Floodplain management is a process that aims to achieve reduced losses due to flooding. It takes on many forms, but is realized through a series of federal, state, and local programs and regulations, in concert with industry practice, to identify flood risk, implement methods to protect man-made development from flooding, and protect the natural and beneficial functions of floodplains. FIRMs are the primary tool for state and local governments to mitigate areas of flooding. Individual county databases can be downloaded from https://fris.nc.gov Updated Sep 19th, 2025.

  7. a

    SAV Onslow 2021 Final

    • fisheries-ncdenr.opendata.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Apr 13, 2022
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    NC Dept. of Environmental Quality (2022). SAV Onslow 2021 Final [Dataset]. https://fisheries-ncdenr.opendata.arcgis.com/datasets/sav-onslow-2021-final
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    Dataset updated
    Apr 13, 2022
    Authors
    NC Dept. of Environmental Quality
    Area covered
    Description

    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. NCDMF should be contacted prior to use of this dataset to ensure it is the most recent available.Summary:

    With field and technical support from the NC Division of Marine Fisheries (NCDMF), digital data of coastal submerged aquatic vegetation (SAV) was mapped by NCDMF for the year 2021. This is the third mapping effort for the area south of Bogue Sound. The first effort was mapped for imagery years 2006-2008, in partnership with Albemarle Pamlico National Estuary Partnership and NOAA; the second effort was mapped from 2015 imagery by NCDMF.

    Mapping Extent:

    Visible SAV was mapped along the Southern coast of North Carolina. This extent encompasses the high-salinity coastal zone of Onslow Bay that lies between Bogue Inlet and Mason’s Inlet. (Onslow, Pender, and New Hanover Counties)

    Completeness Report:These data represent the locations of visible SAV, as could be digitized from remotely-sensed imagery. A small 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:Imagery collection was contracted to NCDOT and captured on May 20, 2021. Aircraft height averaged 11,300 ft for final imagery products with 0.5 ft and 1 ft pixel resolution.Map Digitization:The imagery was loaded into ArcGIS for manual on-screen digitization using procedures described in Rohman and Monaco (2005). Digitizing scale was set between 1:1500 and 1:2000. 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, for either 1) a contiguous SAV bed, or 2) multiple patches, that when combined, are at least 15 m across on the longest axis and are within 15 m of each other.Attributes/Values:CLASS: Type of classification for SAV polygonCONTINUOUS: A polygon with 70-100% SAV coveragePATCHY: A polygon with 10-70% coverageACRES: SAV polygon area in acresYR MAPPED: Year of imagery acquisition

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Geoscience Australia; Geoscience Australia (2006). Pender 1:250 000 GIS Dataset [Dataset]. https://researchdata.edu.au/pender-1250-000-gis-dataset/3421131
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Pender 1:250 000 GIS Dataset

Explore at:
Dataset updated
2006
Dataset provided by
Geoscience Australiahttp://ga.gov.au/
Authors
Geoscience Australia; Geoscience Australia
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

http://creativecommons.org/licenses/http://creativecommons.org/licenses/

Area covered
Description

This data is part of the series of maps that covers the whole of Australia at a scale of 1:250 000 (1cm on a map represents 2.5km on the ground) and comprises 513 maps. This is the largest scale at which published topographic maps cover the entire continent.
Data is downloadable in various distribution formats.

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