Satellite-derived shoreline positions from CoastSeg in multiple U.S. locations (1984-2023)
This dataset contains shoreline positions derived from available satellite imagery for multiple locations (Barter Island, Alaska; Elwha, Washington; Cape Cod, Massachusetts; Madeira Beach, Florida; and Rincon, Puerto Rico) across the United States for the time period 1984 to 2023. An open-source toolbox, CoastSeg (Fitzpatrick and others, 2024a; Fitzpatrick and others, 2024b), was used to classify coastal Landsat and Sentinel imagery and detect shorelines at the sub-pixel scale, using the CoastSat (Vos and others, 2019) methodology. Shorelines are derived for multiple slope values, representing the spatial and temporal variance of slope conditions at each site. Resulting shoreline positions are presented as discrete points in comma-separated value (CSV) format. Significant uncertainty is associated with the locations of shorelines in extremely dynamic regions at all sites, including at the locations of river mouths, tidal inlets, capes, ends of spits, and adjacent to wetlands at the Barter Island site. For technical users and researchers, data can be ingested into geospatial platforms (for example, QGIS or GlobalMapper) for more detailed analysis.
Find Related Datasets
Search by Tags
Click any tag below to search for similar datasets
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"010:12"
]
|
| contactPoint |
{
"fn": "PCMSC Science Data Coordinator",
"@type": "vcard:Contact",
"hasEmail": "mailto:pcmsc_data@usgs.gov"
}
|
| description | This dataset contains shoreline positions derived from available satellite imagery for multiple locations (Barter Island, Alaska; Elwha, Washington; Cape Cod, Massachusetts; Madeira Beach, Florida; and Rincon, Puerto Rico) across the United States for the time period 1984 to 2023. An open-source toolbox, CoastSeg (Fitzpatrick and others, 2024a; Fitzpatrick and others, 2024b), was used to classify coastal Landsat and Sentinel imagery and detect shorelines at the sub-pixel scale, using the CoastSat (Vos and others, 2019) methodology. Shorelines are derived for multiple slope values, representing the spatial and temporal variance of slope conditions at each site. Resulting shoreline positions are presented as discrete points in comma-separated value (CSV) format. Significant uncertainty is associated with the locations of shorelines in extremely dynamic regions at all sites, including at the locations of river mouths, tidal inlets, capes, ends of spits, and adjacent to wetlands at the Barter Island site. For technical users and researchers, data can be ingested into geospatial platforms (for example, QGIS or GlobalMapper) for more detailed analysis. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Digital Data",
"format": "XML",
"accessURL": "https://doi.org/10.5066/P1NUEFDP",
"mediaType": "application/http",
"description": "Landing page for access to the data"
},
{
"@type": "dcat:Distribution",
"title": "Original Metadata",
"format": "XML",
"mediaType": "text/xml",
"description": "The metadata original format",
"downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.16c3902f-65fc-4126-b6e6-e9a0460ab6aa.xml"
}
]
|
| identifier | http://datainventory.doi.gov/id/dataset/USGS_16c3902f-65fc-4126-b6e6-e9a0460ab6aa |
| keyword |
[
"Beaches",
"CMHRP",
"ClimatologyMeteorologyAtmosphere",
"Coastal and Marine Hazards and Resources Program",
"Commonwealth of Massachusetts",
"Commonwealth of Puerto Rico",
"Erosion",
"Oceans",
"PCMSC",
"Pacific Coastal and Marine Science Center",
"Physical Habitats and Geomorphology",
"SPCMSC",
"Shoreline mapping",
"Shorelines",
"St. Petersburg Coastal and Marine Science Center",
"State of Alaska",
"State of Florida",
"State of Washington",
"U.S. Geological Survey",
"USGS",
"USGS:16c3902f-65fc-4126-b6e6-e9a0460ab6aa",
"WHCMSC",
"Woods Hole Coastal and Marine Science Center",
"beach",
"coast",
"coastal processes",
"effects of coastal change",
"image collections",
"long term erosion",
"remote sensing",
"shoreline accretion",
"shoreline erosion",
"storm erosion"
]
|
| modified | 2025-04-25T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
"@type": "org:Organization"
}
|
| spatial | -143.83834890, 18.31396108, -67.23436190, 70.15710875 |
| theme |
[
"geospatial"
]
|
| title | Satellite-derived shoreline positions from CoastSeg in multiple U.S. locations (1984-2023) |