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Filters: Categories: Data (X) > partyWithName: U.S. Geological Survey (X) > Types: Downloadable (X) > partyWithName: Florence Bascom Geoscience Center (X) > Extensions: Shapefile (X) > Types: Shapefile (X) > partyWithName: Marissa A Alessi (X)

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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.
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This data release catalogs the locations of small-scale diamond and gold mining dredges on the Kadéï (Sangha) River, Central African Republic from the years 2015 to 2019. The Kadéï river flows through the Nola prefecture in the CAR and is known to host placer diamond deposits. The dataset was developed through visual interpretation of 387 Synthetic Aperture Radar (SAR) scenes. The point shapefile contains 1,747 locations of vessels, identified by type as either a dredge, idle vessel, or ferry.


    map background search result map search result map Locations of small-scale diamond and gold dredges detected using Synthetic Aperture Radar on the Kadéï (Sangha) River, Central African Republic Spatial data of artisanal mining riverine dredges using three different Synthetic Aperture Radar detection approaches on the Madeira River, Brazil Spatial data of artisanal mining riverine dredges using three different Synthetic Aperture Radar detection approaches on the Madeira River, Brazil