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Merilyn Amorim

affiliation not provided to SSRN

  • affiliation not provided to SSRN

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The Brazilian Soil Total Available Water (TAW) acquired by remote sensing and machine learning techniques

Number of pages: 49 Posted: 17 Nov 2025
Letícia G. Vogel, Jose Alexandre Melo Dematte, Quirijn de Jong van Lier, Fellipe Alcantara de Oliveira Mello, Jorge Rosas, Leonardo Inforsato, Merilyn Amorim, Nícolas Augusto Rosin, Michele Duarte de Menezes, Marcelo Henrique Procópio Pelegrino, Danilo César de Mello and Renan Falcioni
affiliation not provided to SSRN, University of São Paulo (USP) - Department of Soil Science, University of São Paulo (USP), University of São Paulo (USP) - Department of Soil Science, University of São Paulo (USP), University of São Paulo (USP), affiliation not provided to SSRN, University of São Paulo (USP) - Department of Soil Science, Federal University of Lavras, affiliation not provided to SSRN, Federal University of Viçosa - Department of Soil Science and State University of Maringá
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Remote sensing, soil quality, hydrological modeling, Soil Modeling, Drainage, Transpiration