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    • Bias-corrected topobathymetric elevation model for south Florida, 2018

    Metadata Updated: June 15, 2024

    Accurate elevation data in coastal ecosystems are crucial for understanding vulnerability to sea-level rise. Lidar has become increasingly available; however, in tidal wetlands such as mangroves and salt marsh, vertical bias from dense vegetation reduces accuracy of the delivered 'base earth' products. To increase accuracy of elevation models across south Florida, we applied the LEAN technique to six different lidar collections from 2007-2018. On average, LEAN correction increased DEM accuracy by 46.1 percent, reducing the vertical bias. After correction and post-processing, the DEMs were merged together with a bathymetric dataset to create a seamless topobathy product.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

    Downloads & Resources

    Dates

    Metadata Created Date June 1, 2023
    Metadata Updated Date June 15, 2024

    Metadata Source

    Harvested from DOI EDI

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date June 1, 2023
    Metadata Updated Date June 15, 2024
    Publisher Climate Adaptation Science Centers
    Maintainer
    @Id http://datainventory.doi.gov/id/dataset/6df0d5a4bb317fe5deb52e03e5d19d86
    Identifier 6d7cc7c1-c11a-426d-9e15-edc221f9fd43
    Data Last Modified 2023-03-31
    Category geospatial
    Public Access Level public
    Bureau Code 010:00
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Metadata Catalog ID https://datainventory.doi.gov/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id 01d19f9e-dd7e-49ce-841d-e8dca16487a9
    Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
    Harvest Source Title DOI EDI
    Metadata Type geospatial
    Old Spatial -82.56,24.89,-80.0,27.2
    Source Datajson Identifier True
    Source Hash 4e5cfbd0d725a9e517468cabdd8d1dfa4481bae6736922a14c143bd1b2bbd8d2
    Source Schema Version 1.1
    Spatial {"type": "Polygon", "coordinates": -82.56, 24.89, -82.56, 27.2, -80.0, 27.2, -80.0, 24.89, -82.56, 24.89}

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