Author Page for Danilo de Lima Camêlo

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Machine Learning Techniques for Predicting Soil Organic Carbon and Total Nitrogen Concentrations: Insights from Sentinel-2 and Landsat-8 Datasets in Southeast Brazil Pasturelands

Number of pages: 39 Posted: 22 Sep 2023

Kargean Vianna Barbosa, Diego Lang Burak, Danilo de Lima Camêlo, Eduardo de Sá Mendonça and David de Andrade Costa

Federal Fuminense Education, Science and Technology Institute, Federal University of Espirito Santo, Federal University of Espirito Santo, Federal University of Espirito Santo and affiliation not provided to SSRN

Downloads 108 (649,907)

Abstract:

Mineralogical Fingerprint and Human Health Risk from Potentially Toxic Elements of Fe Mining Tailings from the Fundão Dam

Number of pages: 30 Posted: 22 Sep 2023

Danilo de Lima Camêlo, Luiz Aníbal da Silva Filho, David Lukas de Arruda, Luan Mauri Cyrino, Gilberto Fonseca Barroso, Marcelo Metri Corrêa, Paulo Jorge Sanches Barbeira, Danniel Brandão Mendes, Vânya Márcia Duarte Pasa and Demetrius Profeti

Federal University of Espirito Santo, Federal University of Espirito Santo, Federal University of Espirito Santo, Federal University of Espirito Santo, Federal University of Espirito Santo, affiliation not provided to SSRN, Federal University of Minas Gerais (UFMG), Federal University of Minas Gerais (UFMG), Federal University of Minas Gerais (UFMG) and Federal University of Espirito Santo

Downloads 53 (1,086,013)

Danilo de Lima Camêlo

Federal University of Espirito Santo

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161

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Scholarly Papers (2)

Machine Learning Techniques for Predicting Soil Organic Carbon and Total Nitrogen Concentrations: Insights from Sentinel-2 and Landsat-8 Datasets in Southeast Brazil Pasturelands

Abstract:

Mineralogical Fingerprint and Human Health Risk from Potentially Toxic Elements of Fe Mining Tailings from the Fundão Dam

Abstract: