100+ datasets found
  1. K

    World Coastline (1:10 million)

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Dec 4, 2009
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    Natural Earth (2009). World Coastline (1:10 million) [Dataset]. https://koordinates.com/layer/1298-world-coastline-110-million/
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    dwg, geopackage / sqlite, pdf, mapinfo mif, shapefile, mapinfo tab, geodatabase, csv, kmlAvailable download formats
    Dataset updated
    Dec 4, 2009
    Dataset authored and provided by
    Natural Earth
    Area covered
    World,
    Description

    World coastline intended for use at 1:10 million scales.

    Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com.

  2. e

    Coastal line map book 2010 – Scale trend values to be displayed (25000)

    • data.europa.eu
    csv, geopackage, gml +6
    Updated Jan 10, 2025
    + more versions
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    (2025). Coastal line map book 2010 – Scale trend values to be displayed (25000) [Dataset]. https://data.europa.eu/data/datasets/44875-kustlijnkaartenboek-2010-af-te-beelden-trendwaarden-schaal-25000-/embed
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    wfs, kml, wms, jpeg, zip, gml, csv, json, geopackageAvailable download formats
    Dataset updated
    Jan 10, 2025
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Calculated trend values horizontal position coastline relative to the Base Coastline for the year 2010. Numbers and maps are processed annually in the coastal map book issued by RWS WVL. Based on this book, the supplementation schedule for the year 2 years after measurement is determined. Shown is the trend in diversion of the position of the coastline to be checked (TKL) relative to the Base Coastline. In the underlying table, all test parameters calculated by MorphAn software. The coloring indicates the direction of the trend (seaward/landward) and shows the location of the tkl (seaward/landward). Calculated trend values horizontal position coastline relative to the Base Coastline for the year 2010. Numbers and maps are processed annually in the coastal map book issued by RWS WVL. Based on this book, the supplementation schedule for the year 2 years after measurement is determined. Shown is the trend in diversion of the position of the coastline to be checked (TKL) relative to the Base Coastline. In the underlying table, all test parameters calculated by MorphAn software. The coloring indicates the direction of the trend (seaward/landward) and shows the location of the tkl (seaward/landward). Calculated trend values horizontal position coastline relative to the Base Coastline for the year 2010. Numbers and maps are processed annually in the coastal map book issued by RWS WVL. Based on this book, the supplementation schedule for the year 2 years after measurement is determined. Shown is the trend in diversion of the position of the coastline to be checked (TKL) relative to the Base Coastline. In the underlying table, all test parameters calculated by MorphAn software. The coloring indicates the direction of the trend (seaward/landward) and shows the location of the tkl (seaward/landward). Calculated trend values horizontal position coastline relative to the Base Coastline for the year 2010. Numbers and maps are processed annually in the coastal map book issued by RWS WVL. Based on this book, the supplementation schedule for the year 2 years after measurement is determined. Shown is the trend in diversion of the position of the coastline to be checked (TKL) relative to the Base Coastline. In the underlying table, all test parameters calculated by MorphAn software. The coloring indicates the direction of the trend (seaward/landward) and shows the location of the tkl (seaward/landward).

  3. e

    Coastline maps book 2019 - Trend values scale to be depicted (50000)

    • data.europa.eu
    wfs, wms
    Updated Jun 11, 2024
    + more versions
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    (2024). Coastline maps book 2019 - Trend values scale to be depicted (50000) [Dataset]. https://data.europa.eu/data/datasets/21c33630-f509-4eb3-8f36-aae5ffd54g7e?locale=en
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    wfs, wmsAvailable download formats
    Dataset updated
    Jun 11, 2024
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Calculated trend values for the horizontal position of the coastline in relation to the Base Coastline for the year 2019. Figures and maps are processed annually in the coastal map book published by RWS WVL. Based on this book, the supplementation schedule for the year 2 years after measurement is determined. Depicted is the trend in deviation of the position of the coast line to be tested (TKL) in relation to the Base Coastline. In the underlying table all test parameters calculated by testing software MorphAn. The colouring indicates the direction of the trend (seaward/landward) and indicates the location of the tkl (seaward/landward).

  4. G

    Mapping the Coasts, 1492-1874

    • ouvert.canada.ca
    • datasets.ai
    • +3more
    jpg, pdf
    Updated Mar 14, 2022
    + more versions
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    Natural Resources Canada (2022). Mapping the Coasts, 1492-1874 [Dataset]. https://ouvert.canada.ca/data/dataset/3ff407ff-9782-520f-91fd-234944aa79e9
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    jpg, pdfAvailable download formats
    Dataset updated
    Mar 14, 2022
    Dataset provided by
    Natural Resources Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Contained within the 3rd Edition (1957) of the Atlas of Canada is a map that shows the a series of reproduced historical maps. The first maps, from Stephanius to Zaltieri, illustrate the emergence of the concept of a new continent of America. Behaims globe indicates the general belief that Europe and Asia were separated principally by water. Ruyschs map is one of the earliest that shows the discoveries of Columbus, Cabot, the Corte Reals and Vespucci. The Waldseemulle map and the Agnese map of 1540 depicts a new continent. The Ptolemy map of 1548 shows that to many people there was still the possibility that America and Asia were joined in the north. The next maps from La Cosa to Velasco, show how the shape of the northeast coast of North America was mapped. These maps show the early doubts as to whether the new discoveries were part of a continuous coast or merely islands in the Atlantic and the eventual resolution of these doubts. Desceliers showed that by 1550 the St. Lawrence estuary was known and that Newfoundland existed as an island. By 1610, the Gulf of St. Lawrence region was even more accurately defined and a great inland lake appeared on the Velasco map. The next five maps show how the Arctic coasts gradually became revealed, partly as a result of the search for the Northwest Passage hypothetically indicated by Mercator in 1595. By 1823 some of the water passages had been discovered and by 1835 the northern continental coastline of America established. The map of 1874 shows the extension of mapping further poleward into the Queen Elizabeth Islands. The final four maps indicate the development of the knowledge of the west coast. De Laet, in 1630, showed the Spanish Empire reaching northward along the Pacific coast; the 1758 map shows Russian activities extending south along the same coast. Cook added further detail which Vancouver supplemented with more precise coastal surveys as shown on the Arrowsmith map of 1822.

  5. C

    Coastline Chart Book 2023 - Scale trend values ​​to be displayed (25000)

    • ckan.mobidatalab.eu
    Updated Jul 13, 2023
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    OverheidNl (2023). Coastline Chart Book 2023 - Scale trend values ​​to be displayed (25000) [Dataset]. https://ckan.mobidatalab.eu/dataset/34284-kustlijnkaartenboek-2023-af-te-beelden-trendwaarden-schaal-25000
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    http://publications.europa.eu/resource/authority/file-type/zip, http://publications.europa.eu/resource/authority/file-type/wfs_srvc, http://publications.europa.eu/resource/authority/file-type/gml, http://publications.europa.eu/resource/authority/file-type/csv, http://publications.europa.eu/resource/authority/file-type/jpeg, http://publications.europa.eu/resource/authority/file-type/kml, http://publications.europa.eu/resource/authority/file-type/wms_srvc, http://publications.europa.eu/resource/authority/file-type/jsonAvailable download formats
    Dataset updated
    Jul 13, 2023
    Dataset provided by
    OverheidNl
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Calculated trend values ​​for the horizontal position of the coastline in relation to the Base Coastline for the year 2023. Figures and maps are processed annually in the coastline map book published by RWS WVL. The supplementation schedule for the year 2 years after measurement is determined on the basis of this book. The trend in deviation of the position of the coastline to be tested (TKL) is shown in relation to the Base Coastline. In the underlying table all test parameters that are calculated by testing software MorphAn. The coloring indicates the direction of the trend (seaward/landward) and indicates the location of the tkl (seaward/landward).

  6. d

    Coastal Overview Map [Eng only]

    • environment.data.gov.uk
    • data.wu.ac.at
    Updated Apr 15, 2014
    + more versions
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    Environment Agency (2014). Coastal Overview Map [Eng only] [Dataset]. https://environment.data.gov.uk/dataset/85df5930-d465-11e4-8cf2-f0def148f590
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    Dataset updated
    Apr 15, 2014
    Dataset authored and provided by
    Environment Agency
    License

    https://www.gov.uk/government/publications/environment-agency-conditional-licence/environment-agency-conditional-licencehttps://www.gov.uk/government/publications/environment-agency-conditional-licence/environment-agency-conditional-licence

    Description

    The Coastal Overview data layers identifies the lead authority for the management of discrete stretches of the English coast as defined by the Seaward of the Schedule 4 boundary of the Coastal Protection Act 1949. The data are intended as a reference for GIS users and Coastal Engineers with GIS capability to identify the responsible authority or whether the coast is privately owned. The information has been assigned from the following sources, listed in by preference: Shoreline Management Plans 1; Environment Agency’s RACE database; Consultation with Coastal Business User Group and Local Authority Maritime records where possible. A confidence rating is attributed based on where the data has been attributed from and the entry derived from the source data. The following data is intended as a reference document for GIS users and Coastal Engineers with GIS capability to identify the responsible authority and the assigned EA Coastal Engineer so as to effectively manage the coast for erosion and flooding. The product comprises 3 GIS layers that are based on the OS MasterMap Mean High Watermark and consists of the following data layers that are intended to be displayed as with the confidence factor that the information is correct. Coastal Overview Map [Polyline] –details the Lead Authority, EA Contact and other overview information for coast sections; Coastal Overview Map [Point] – shows the start point of the discrete stretch of coast and the lead authority; and Coastal Legislative Layer [Polyline] - represents the predominant risk; flooding or erosion, which are assigned to each section of the coastline.

  7. a

    Alaska Coastline

    • hub.arcgis.com
    Updated Mar 20, 2017
    + more versions
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    Alaska Department of Natural Resources ArcGIS Online (2017). Alaska Coastline [Dataset]. https://hub.arcgis.com/maps/24bb1a5332894893bf9a305d9f6c6696
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    Dataset updated
    Mar 20, 2017
    Dataset authored and provided by
    Alaska Department of Natural Resources ArcGIS Online
    Area covered
    Description

    A web map featuring Alaska Coastline, digitized from USGS Quad maps.

  8. d

    Coastal Mapping Program of Port of San Francisco, CA, CA2101A-CS-N

    • 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). Coastal Mapping Program of Port of San Francisco, CA, CA2101A-CS-N [Dataset]. https://catalog.data.gov/dataset/coastal-mapping-program-of-port-of-san-francisco-ca-ca2101a-cs-n1
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    NGS Communications and Outreach Branch (Point of Contact, Custodian)
    Area covered
    San Francisco, California
    Description

    These data provide an accurate high-resolution shoreline compiled from imagery of Port of San Francisco, CA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. 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

  9. m

    Massachusetts Shoreline Change Project Map

    • mapthatcapecod.com
    • hub.arcgis.com
    Updated Nov 28, 2022
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    Center for Coastal Studies (2022). Massachusetts Shoreline Change Project Map [Dataset]. https://www.mapthatcapecod.com/maps/24670bfaa3b04632a90122b251c0e365
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    Dataset updated
    Nov 28, 2022
    Dataset authored and provided by
    Center for Coastal Studies
    Area covered
    Description

    This map includes shoreline change data for the state of Massachusetts hosted by the Massachusetts Office of Coastal Zone Management.The active data layer in this map is Massachusetts Shoreline Change Transect (1970-2014) with short-term shoreline change rates. To view long-term rates, open map in Map Viewer to turn on layer.The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. The shoreline position and change rate are used to inform management decisions regarding the erosion of coastal resources. In 2001, a shoreline from 1994 was added to calculate both long- and short-term shoreline change rates along ocean-facing sections of the Massachusetts coast. In 2013, two oceanfront shorelines for Massachusetts were added using 2008-9 color aerial orthoimagery and 2007 topographic lidar datasets obtained from the National Oceanic and Atmospheric Administration's Ocean Service, Coastal Services Center. In 2018 two new mean high water (MHW) shorelines for Massachusetts were extracted from lidar collected between 2010 and 2014 (described below). 2018 addition shoreline 1The North Shore and South Coast uses 2010 lidar data collected by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise. The South Shore and Outer Cape uses 2011 lidar data collected by the U.S. Geological Survey's (USGS) National Geospatial Program Office. Nantucket and Martha’s Vineyard uses 2012 lidar data collected by the USACE (post Sandy)from a 2012 USACE Post Sandy Topographic lidar survey. 2018 addition shoreline 2The North Shore, Boston, South Shore, Cape Cod Bay, Outer Cape, South Cape, Nantucket, Martha’s Vineyard, and the South Coast (around Buzzards Bay to the Rhode Island Border) is from 2013-14 lidar data collected by the (USGS) Coastal and Marine Geology Program. This 2018 update of the rate of shoreline change in Massachusetts includes two types of rates. Some of the rates include a proxy-datum bias correction, this is indicated in the filename with “PDB”. The rates that do not account for this correction have “NB” in their file names. The proxy-datum bias is applied because in some areas a proxy shoreline (like a High Water Line shoreline) has a bias when compared to a datum shoreline (like a Mean High Water shoreline). In areas where it exists, this bias should be accounted for when calculating rates using a mix of proxy and datum shorelines. This issue is explained further in Ruggiero and List (2009) and in the process steps of the metadata associated with the rates. This release includes both long-term (~150 years) and short term (~30 years) rates. Files associated with the long-term rates have “LT” in their names, files associated with short-term rates have “ST” in their names.

  10. C

    Coastline Map Book 2018 - Scale trend values ​​to be displayed (25000)

    • ckan.mobidatalab.eu
    gml, kml, wfs, wms
    Updated May 10, 2023
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    NationaalGeoregisterNL (2023). Coastline Map Book 2018 - Scale trend values ​​to be displayed (25000) [Dataset]. https://ckan.mobidatalab.eu/dataset/coastline-map-book-2018-to-display-trend-values-scale-25000
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    wfs, gml, kml, wmsAvailable download formats
    Dataset updated
    May 10, 2023
    Dataset provided by
    NationaalGeoregisterNL
    Description

    Calculated trend values ​​for the horizontal position of the coastline in relation to the Basic Coastline for the year 2018. Figures and maps are processed annually in the coastline map book published by RWS WVL. The supplementation schedule for the year 2 years after measurement is determined on the basis of this book. The trend in deviation of the position of the coastline to be tested (TKL) is shown in relation to the Base Coastline. In the underlying table all test parameters that are calculated by testing software MorphAn. The coloring indicates the direction of the trend (seaward/landward) and indicates the location of the tkl (seaward/landward).

  11. a

    Coastal Area and Boundary Polygon

    • hub.arcgis.com
    • data.ct.gov
    • +3more
    Updated Oct 18, 2019
    + more versions
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    Department of Energy & Environmental Protection (2019). Coastal Area and Boundary Polygon [Dataset]. https://hub.arcgis.com/maps/7a2a7364bd5d47d696e82c3d1a8360e2
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    Dataset updated
    Oct 18, 2019
    Dataset authored and provided by
    Department of Energy & Environmental Protection
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    Coastal Area & Boundary Polygon:

    The Coastal Area layer is a 1:24,000-scale, polygon feature-based layer that includes the land and waters that lie within the Coastal Area as defined by Connecticut General Statute (C.G.S.) 22a-94(a). Activities and actions conducted within the coastal area by Federal and State Agencies (i.e., U.S. Army Corps of Engineers (USACOE), DEP regulatory programs, and state plans and actions) must be consistent with all of the applicable standards and criteria contained in the Connecticut Coastal Management Act (C.G.S. 22a-90 to 22a-113). A subset of the Coastal Area, the Coastal Boundary, represents an area within which activities regulated or conducted by coastal municipalities must be consistent with the Coastal Management Act. As defined in this section of the statutes, the Coastal Area includes the land and water within the area delineated by the following: the westerly, southerly and easterly limits of the state's jurisdiction in Long Island Sound; the towns of Greenwich, Stamford, Darien, Norwalk, Westport, Fairfield, Bridgeport, Stratford, Shelton, Milford, Orange, West Haven, New Haven, Hamden, North Haven, East Haven, Branford, Guilford, Madison, Clinton, Westbrook, Deep River, Chester, Essex, Old Saybrook, Lyme, Old Lyme, East Lyme, Waterford, New London, Montville, Norwich, Preston, Ledyard, Groton and Stonington. This layer includes a single polygon feature defined by the boundaries described above. Attribute information is comprised of an Av_Legend to denote the coastal area. Data is compiled at 1:24,000 scale. This data is not updated.

    The Coastal Boundary layer is a 1:24,000-scale, polygon feature-based layer of the legal mylar-based maps adopted by the Commissioner of the Department of Environmental Protection (DEP) (i.e., maps were adopted on a town by town basis) showing the extent of lands and coastal waters as defined by Connecticut General Statute (C.G.S.) 22a-93(5)) within Connecticut's coastal area (defined by C.G.S. 22a-94(c)). The coastal boundary is a hybrid of the original 1:24,000 version maps prepared by DEP consistent with C.G.S. 22a-94(d) (Coastal Area) and the revised boundary mapping undertaken by twenty-two coastal towns prepared pursuant to C.G.S. 22a-94(f). This layer therefore does not replace the legal maps and may not be used for legal determinations. The Coastal Boundary layer includes a single polygon feature that represents the coastal boundary. No other features are included in this layer. Data is compiled at 1:24,000 scale. Attribute information is comprised of an Av_Legend attribute and a CoastB_Flg attribute to denote the coastal boundary. Other attributes include automatically calculated Shape_Length and Shape_Area fields. This data is not updated. Any regulated activity conducted within the coastal boundary by a municipal agency (i.e., plans of development, zoning regulations, municipal coastal programs and coastal site plan review (i.e., site plans submitted to zoning commission, subdivision or resubdivision plans submitted to planning commission, application for special permit or exception to the zoning or planning commissions or zoning board of appeals, variance submitted to zoning board of appeals and a referral of a municipal project)) must be conducted in a manner consistent with the requirements of the Connecticut Coastal Management Act (CMA; C.G.S. 22a-90 to 22a-113). As the Coastal Boundary is a hybrid of the Coastal Area, all state and federal agency activities must be consistent with the requirements of the CMA. As defined in C.G.S. 22a-94(b) the coastal boundary is a "continuous line delineated on the landward side by the interior contour elevation of the one hundred year frequency coastal flood zone, as defined and determined by the National Flood Insurance Act, as amended (USC 42 Section 4101, P.L. 93-234), or a one thousand foot linear setback measured from the mean high water mark in coastal waters, or a one thousand foot linear setback measured from the inland boundary of tidal wetlands mapped under section 22a-20, whichever is farthest inland; and shall be delineated on the seaward side by the seaward extent of the jurisdiction of the state." The original boundary maps were created in 1979 on stable mylar overlay using the 1:24,000-scale US Geological Survey topographic quadrangle maps (mylar film format). The source for tidal wetland maps were the legal 1:24,000 maps (mylar format) adopted by the Commissioner of DEP and transformed to 1:24,000 mylar-scale maps by the Office of Policy and Management (OPM) using an accurate pantograph. OPM similarly converted FEMA's flood insurance maps (various scales) to a 1:24,000 mylar overlay. The inland extent of coastal waters was plotted on 1:24,000 USGS topographic maps following the procedures and sources described in The Boundary Between Saltwater and Freshwater in Connecticut, December 1978 prepared by the State of Connecticut, Department of Environmental Protection, Coastal Area Management Program. The following twenty-two towns have adopted municipal coastal boundaries: Chester, Clinton, Darien, Deep River, East Haven, Essex, Fairfield, Greenwich, Groton, Guilford, Hamden, Ledyard, Madison, Milford, New Haven, New London, North Haven, Norwalk, Old Lyme, Old Saybrook, Stamford and Waterford. The coastal boundary maps for these towns may be at different scales than the original DEP draft maps and may contain minor adjustments to the boundary as permitted in C.G.S. 22a-94(f).

  12. Coastline and Boundaries of Canada

    • open.canada.ca
    • ouvert.canada.ca
    • +1more
    pdf
    Updated Mar 14, 2022
    + more versions
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    Natural Resources Canada (2022). Coastline and Boundaries of Canada [Dataset]. https://open.canada.ca/data/en/dataset/f4503fa6-33fa-5f8e-b785-472536f7cbce
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Mar 14, 2022
    Dataset provided by
    Ministry of Natural Resources of Canadahttps://www.nrcan.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    An outline map without names which shows only Canada’s coastline and boundaries.

  13. Coastline, Boundaries and Names of Canada

    • ouvert.canada.ca
    • datasets.ai
    • +1more
    pdf
    Updated Mar 14, 2022
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    Natural Resources Canada (2022). Coastline, Boundaries and Names of Canada [Dataset]. https://ouvert.canada.ca/data/dataset/55d5eb69-f866-5be9-89c1-736e92df425e
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    pdfAvailable download formats
    Dataset updated
    Mar 14, 2022
    Dataset provided by
    Ministry of Natural Resources of Canadahttps://www.nrcan.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    An outline map showing the coastline and boundaries of Canada with names for the provinces and territories.

  14. d

    Shoreline Mapping Program of MUSCONGUS BAY AND SOUTHWESTERN PENOBSCOT BAY,...

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Oct 31, 2024
    + more versions
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    NGS Communications and Outreach Branch (Point of Contact, Custodian) (2024). Shoreline Mapping Program of MUSCONGUS BAY AND SOUTHWESTERN PENOBSCOT BAY, ME, ME0401D [Dataset]. https://catalog.data.gov/dataset/shoreline-mapping-program-of-muscongus-bay-and-southwestern-penobscot-bay-me-me0401d2
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    NGS Communications and Outreach Branch (Point of Contact, Custodian)
    Area covered
    Muscongus Bay, Penobscot Bay
    Description

    These data provide an accurate high-resolution shoreline compiled from imagery of MUSCONGUS BAY AND SOUTHWESTERN PENOBSCOT BAY, ME . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. 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

  15. e

    Coastline maps book 2016 - Trend values scale (25000)

    • data.europa.eu
    wfs, wms
    Updated Sep 11, 2024
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    (2024). Coastline maps book 2016 - Trend values scale (25000) [Dataset]. https://data.europa.eu/data/datasets/db884fb2-75cf-4e9e-a470-4745df26b1c7/embed
    Explore at:
    wms, wfsAvailable download formats
    Dataset updated
    Sep 11, 2024
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Calculated trend values for the horizontal position of the coastline in relation to the Base Coastline for the year 2016. Figures and maps are processed annually in the coastal map book published by RWS WVL. Based on this book, the supplementation schedule for the year 2 years after measurement is determined. Depicted is the trend in deviation of the position of the coast line to be tested (TKL) in relation to the Base Coastline. In the underlying table all test parameters calculated by testing software MorphAn. The colouring indicates the direction of the trend (seaward/landward) and indicates the location of the tkl (seaward/landward).

  16. High resolution vector polylines of the Antarctic coastline

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Nov 17, 2022
    + more versions
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    British Antarctic Survey (2022). High resolution vector polylines of the Antarctic coastline [Dataset]. https://koordinates.com/layer/111081-high-resolution-vector-polylines-of-the-antarctic-coastline/
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    csv, geopackage / sqlite, geodatabase, pdf, mapinfo mif, mapinfo tab, dwg, shapefile, kmlAvailable download formats
    Dataset updated
    Nov 17, 2022
    Dataset authored and provided by
    British Antarctic Surveyhttps://www.bas.ac.uk/
    Area covered
    Antarctica,
    Description

    Coastline for Antarctica created from various mapping and remote sensing sources, consisting of the following coast types: ice coastline, rock coastline, grounding line, ice shelf and front, ice rumple, and rock against ice shelf. Covering all land and ice shelves south of 60°S. Suitable for topographic mapping and analysis. High resolution versions of ADD data are suitable for scales larger than 1:1,000,000. The largest suitable scale is changeable and dependent on the region.

    Major changes in v7.5 include updates to ice shelf fronts in the following regions: Seal Nunataks and Scar Inlet region, the Ronne-Filchner Ice Shelf, between the Brunt Ice Shelf and Riiser-Larsen Peninsula, the Shackleton and Conger ice shelves, and Crosson, Thwaites and Pine Island. Small areas of grounding line and ice coastlines were also updated in some of these regions as needed.

    Data compiled, managed and distributed by the Mapping and Geographic Information Centre and the UK Polar Data Centre, British Antarctic Survey on behalf of the Scientific Committee on Antarctic Research.

    Further information and useful links

    Map projection: WGS84 Antarctic Polar Stereographic, EPSG 3031. Note: by default, opening this layer in the Map Viewer will display the data in Web Mercator. To display this layer in its native projection use an Antarctic basemap.

    The currency of this dataset is May 2022 and will be reviewed every 6 months. This feature layer will always reflect the most recent version.

    For more information on, and access to other Antarctic Digital Database (ADD) datasets, refer to the SCAR ADD data catalogue.

    A related medium resolution dataset is also published via Living Atlas, as well medium and high resolution polygon datasets.

    For background information on the ADD project, please see the British Antarctic Survey ADD project page.

    Lineage

    Dataset compiled from a variety of Antarctic map and satellite image sources. The dataset was created using ArcGIS and QGIS GIS software programmes and has been checked for basic topography and geometry checks, but does not contain strict topology. Quality varies across the dataset and certain areas where high resolution source data were available are suitable for large scale maps whereas other areas are only suitable for smaller scales. Each line has attributes detailing the source which can give the user further indications of its suitability for specific uses. Attributes also give information including 'surface' (e.g. grounding line, ice coastline, ice shelf front) and revision date. Compiled from sources ranging in time from 1990s-2022 - individual lines contain exact source dates.

  17. Coastal Mapping Program of Outer Banks, Roanoke Island to Cape Hatteras, NC,...

    • fisheries.noaa.gov
    • catalog.data.gov
    Updated Jan 1, 2024
    + more versions
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    National Geodetic Survey (2024). Coastal Mapping Program of Outer Banks, Roanoke Island to Cape Hatteras, NC, NC1902D-TB-C [Dataset]. https://www.fisheries.noaa.gov/inport/item/72201
    Explore at:
    pdf - adobe portable document formatAvailable download formats
    Dataset updated
    Jan 1, 2024
    Dataset provided by
    U.S. National Geodetic Survey
    Time period covered
    Jan 5, 2019 - Mar 1, 2020
    Area covered
    Description

    These data provide an accurate high-resolution shoreline compiled from imagery of Outer Banks, Roanoke Island to Cape Hatteras, NC . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal C...

  18. Shoreline Mapping Program of NEW YORK HARBOR, UPPER BAY AND NARROWS, NY-NJ,...

    • fisheries.noaa.gov
    Updated Jan 1, 2020
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    National Geodetic Survey (2020). Shoreline Mapping Program of NEW YORK HARBOR, UPPER BAY AND NARROWS, NY-NJ, NY1302 [Dataset]. https://www.fisheries.noaa.gov/inport/item/61747
    Explore at:
    pdf - adobe portable document formatAvailable download formats
    Dataset updated
    Jan 1, 2020
    Dataset provided by
    U.S. National Geodetic Survey
    Time period covered
    Feb 14, 2013 - Mar 10, 2013
    Area covered
    Description

    These data provide an accurate high-resolution shoreline compiled from imagery of NEW YORK HARBOR, UPPER BAY AND NARROWS, NY-NJ . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cart...

  19. c

    Coastal Zone Boundary [ds990] GIS Dataset

    • map.dfg.ca.gov
    Updated Jan 12, 2024
    + more versions
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    (2024). Coastal Zone Boundary [ds990] GIS Dataset [Dataset]. https://map.dfg.ca.gov/metadata/ds0990.html
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    Dataset updated
    Jan 12, 2024
    Description

    CDFW BIOS GIS Dataset, Contact: Greg Benoit, Description: Polygon versions of the terrestrial CZB with a generalized shoreline (USGS 1:24,000 Quadrangle shoreline heads up digitized at 1:3000) and with a more detailed shoreline that includes most bays and estuaries. It was digitized within AutoCAD from the Commission's certified Coastal Zone Boundary hard copy maps. The files were then imported into ArcView, and merged together following Commission jurisdictional boundaries (North Coast, North Central Coast, Central Coast, South Central Coast, South

  20. a

    Maine Beach Mapping Shoreline Types

    • mgs-maine.opendata.arcgis.com
    • mainegeolibrary-maine.hub.arcgis.com
    • +2more
    Updated Oct 19, 2017
    + more versions
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    State of Maine (2017). Maine Beach Mapping Shoreline Types [Dataset]. https://mgs-maine.opendata.arcgis.com/datasets/maine-beach-mapping-shoreline-types
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    Dataset updated
    Oct 19, 2017
    Dataset authored and provided by
    State of Maine
    Area covered
    Description

    GIS dataset includes surveyed shoreline positions for most of the larger beach systems along the southern to mid-coast Maine coastline in York, Cumberland, and Sagadahoc counties. Data were collected using a Leica GS-15 network Real Time Kinematic Global Positioning System (RTK-GPS), and in areas with poor cellular coverage, an Ashtech Z-Xtreme RTK-GPS. Both systems typically have horizontal and vertical accuracies of less than 5 cm. In general, surveys are attempted to be repeated at approximately the same month in each consecutive survey year, however this is not always possible. As a result, the number of available shoreline positions may vary by beach.The line feature class includes the following attributes:BEACH_NAME: The name of the beach where a shoreline was surveyed.SURVEY_DATE: The date (year, month, day; for example 20160901 would be September 1, 2016) upon which a shoreline was surveyed.SURVEY_YEAR: The year (e.g., 2016) within which a shoreline was surveyed.SHAPE_LENGTH: The length, in meters, of the surveyed shoreline.

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Natural Earth (2009). World Coastline (1:10 million) [Dataset]. https://koordinates.com/layer/1298-world-coastline-110-million/

World Coastline (1:10 million)

Explore at:
dwg, geopackage / sqlite, pdf, mapinfo mif, shapefile, mapinfo tab, geodatabase, csv, kmlAvailable download formats
Dataset updated
Dec 4, 2009
Dataset authored and provided by
Natural Earth
Area covered
World,
Description

World coastline intended for use at 1:10 million scales.

Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com.

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