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    • Spatial data of artisanal mining riverine dredges using three different Synthetic Aperture Radar detection approaches on the Madeira River, Brazil

    Metadata Updated: July 6, 2024

    Three semi-automated detection approaches using Sentinel-1 Synthetic Aperture Radar (SAR) have been performed to identify artisanal and small-scale mining (ASM) riverine dredges on the Madeira River in Brazil. The methods are: i) Search for Unidentified Maritime Objects (SUMO), an established method for large ocean ship detection; and two techniques specifically developed for riverine environments: ii) a local detection method; and iii) a global threshold method. The results from each method are contained on this landing page along with the visual interpretation dataset of SAR data used as the validation dataset. The pre-processed SAR data used to produce these results are found also found on this page.

    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 December 7, 2023
    Metadata Updated Date July 6, 2024

    Metadata Source

    Harvested from DOI EDI

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date December 7, 2023
    Metadata Updated Date July 6, 2024
    Publisher U.S. Geological Survey
    Maintainer
    @Id http://datainventory.doi.gov/id/dataset/0d36d66d0d203af24cfd4a44868ce719
    Identifier USGS:654bd579d34ee4b6e05c2a74
    Data Last Modified 20231129
    Category geospatial
    Public Access Level public
    Bureau Code 010:12
    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 ac8c1005-0784-4432-bef5-70b87831cf99
    Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
    Harvest Source Title DOI EDI
    Metadata Type geospatial
    Old Spatial -65.4483,-9.6922,-63.9144,-8.7787
    Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
    Source Datajson Identifier True
    Source Hash b590615bdc58b15f90b112a4a61fec9df0761600f42a6b077278a6fb12d43d90
    Source Schema Version 1.1
    Spatial {"type": "Polygon", "coordinates": -65.4483, -9.6922, -65.4483, -8.7787, -63.9144, -8.7787, -63.9144, -9.6922, -65.4483, -9.6922}

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