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Kennedy Leocadio Vasco

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Mapping Aquaculture in Inland Continental Areas of Brazil Using Machine Learning on the Google Earth Engine

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Mapping Aquaculture in Inland Continental Areas of Brazil Using Machine Learning on the Google Earth Engine

Number of pages: 32 Posted: 11 Jul 2024
Bruno Aparecido da Silva, Marta Eichemberger Ummus, Ericson Hideki Hayakawa, Altair Bennert, Marcos Adami, Carolina Balera Trombini, Aldi Feiden, Kennedy Leocadio Vasco and Alecsander Gomes Brito
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, National Institute for Space Research, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
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Abstract:

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Random Forest, spectral indices, aquaculture, supervised classification