4 datasets found
  1. K

    Horry County, South Carolina County Owned Parcels

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Nov 9, 2018
    + more versions
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    Horry County, South Carolina (2018). Horry County, South Carolina County Owned Parcels [Dataset]. https://koordinates.com/layer/98624-horry-county-south-carolina-county-owned-parcels/
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    geodatabase, dwg, csv, mapinfo mif, geopackage / sqlite, shapefile, mapinfo tab, kml, pdfAvailable download formats
    Dataset updated
    Nov 9, 2018
    Dataset authored and provided by
    Horry County, South Carolina
    Area covered
    Description

    Geospatial data about Horry County, South Carolina County Owned Parcels. Export to CAD, GIS, PDF, CSV and access via API.

  2. d

    Shoreline Data Rescue Project of Myrtle Beach, South Carolina, SC14C01

    • catalog.data.gov
    • fisheries.noaa.gov
    Updated Oct 31, 2024
    + more versions
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    NGS Communications and Outreach Branch (Point of Contact, Custodian) (2024). Shoreline Data Rescue Project of Myrtle Beach, South Carolina, SC14C01 [Dataset]. https://catalog.data.gov/dataset/shoreline-data-rescue-project-of-myrtle-beach-south-carolina-sc14c011
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    NGS Communications and Outreach Branch (Point of Contact, Custodian)
    Area covered
    Myrtle Beach, South Carolina
    Description

    These data were automated to provide an accurate high-resolution historical shoreline of Myrtle Beach, South Carolina 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://www.fisheries.noaa.gov/inport/item/39808

  3. a

    NOAA Post-Ian Imagery Oct 2 2022 B

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Oct 3, 2022
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    Florida Department of Environmental Protection (2022). NOAA Post-Ian Imagery Oct 2 2022 B [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/c24492502a6746dcae72e30fa94d73f8
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    Dataset updated
    Oct 3, 2022
    Dataset authored and provided by
    Florida Department of Environmental Protection
    Area covered
    Description

    NOAA Post-Ian Imagery Oct 2 2022. Jacksonville, FL. Santee—Myrtle Beach, SC. This imagery was acquired by the NOAA Remote Sensing Division to support NOAA homeland security and emergency response requirements.Credit the National Oceanic and Atmospheric Administration (NOAA) when you use these photos in a report, publication, or presentation.The aerial photography missions were conducted by the NOAA Remote Sensing Division. The images were acquired from an altitude of 2500 to 5000 feet, using a Trimble Digital Sensor System (DSS)This imagery was acquired by the NOAA Remote Sensing Division to support NOAA national security and emergency response requirements. This rapid response product was generated for use by emergency managers for visual analysis of damage in the area. It is not intended for mapping, charting or navigation. In addition, it will be used for ongoing research efforts for testing and developing standards for airborne digital imagery.Supplemental Information: The ground sample distance (GSD) for each pixel is 30 cm. In an effort to acquire imagery in a timely manner after the event, clouds may be present in the imagery. Be advised that the Bounding Coordinates reflect the extents of the images acquired for this event and do not imply full image coverage of the area.Source: HereMetadata: Here

  4. NOAA South Carolina oyster mapping orthoimagery, collection subset 3 of 5,...

    • dataone.org
    • catalog.data.gov
    Updated Mar 24, 2016
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    NOAA NCEI Environmental Data Archive (2016). NOAA South Carolina oyster mapping orthoimagery, collection subset 3 of 5, 2003-2005 (NODC Accession 0084750) [Dataset]. https://dataone.org/datasets/%7B71A224F5-7621-465B-884C-2B52A8F05BE4%7D
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    Dataset updated
    Mar 24, 2016
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    Time period covered
    May 1, 2003 - Oct 31, 2005
    Area covered
    Description

    This data set, 3 of 5 archived at the NODC, contains digital orthophotography. The data set presents information that represented conditions for the specified Digital Orthophoto Quarter Quads (DOQQ) regions of interest as specified by PhotoScience Task No. 01012C0053 for coastal areas of South Carolina. The project area was selected specifically to cover those sections of the South Carolina coastal critical zone where oysters had historically been mapped by SC Department of Natural Resources, Marine Division. Additional data from this collection is archived at the NODC under accession numbers 0084621, 0084749, 0084751, 0084752.

    The extent of the DOQQs for the project area ranges from the Hilton Head area in the southern part of South Carolina to the Myrtle Beach area in the northern part of the state. The digital orthophotos in this series have a theoretical ground resolution of 0.25 meter. The digital orthophotos are 4-band in nature (red, green, blue, near infrared) and are delivered as flown in four-band .img file format with associated .png, .jpg, and indexing files. The four-band imagery is delivered in mosaics equaling one eighth of a DOQ. All data were captured during specific imaging windows per contract. The total DOQQ area is approximately 1,527 square miles.

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Horry County, South Carolina (2018). Horry County, South Carolina County Owned Parcels [Dataset]. https://koordinates.com/layer/98624-horry-county-south-carolina-county-owned-parcels/

Horry County, South Carolina County Owned Parcels

Explore at:
geodatabase, dwg, csv, mapinfo mif, geopackage / sqlite, shapefile, mapinfo tab, kml, pdfAvailable download formats
Dataset updated
Nov 9, 2018
Dataset authored and provided by
Horry County, South Carolina
Area covered
Description

Geospatial data about Horry County, South Carolina County Owned Parcels. Export to CAD, GIS, PDF, CSV and access via API.

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