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   ALHO, C. F. B. V. et al. Spatial variation of carbon and nutrients stocks in Amazonian Dark Earth. Geoderma, v. 337, p. 322–332, mar. 2019.

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2. more-detailed-covars-for-dsmmore-detailed-covars-for-dsmPublic

   SAMUEL-ROSA, A. et al. Do more detailed environmental covariates deliver more accurate soil maps? Geoderma, v. 243–244, p. 214–227, maio 2015.

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3. prototype-runoff-sample-splitterprototype-runoff-sample-splitterPublic

   SAMUEL-ROSA, A.; MOURA-BUENO, J. M.; DALMOLIN, R. S. D. Replacing the (inefficient) manual runoff sampling method used in Brazil – a prototype sample splitter. Scientia Agricola, v. 78, n. 4, p. e2…

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4. dem-quality-dsm-accuracydem-quality-dsm-accuracyPublic

   COSTA, E. M.; SAMUEL-ROSA, A.; ANJOS, L. H. C. DOS. Digital elevation model quality on digital soil mapping prediction accuracy. Ciência e Agrotecnologia, v. 42, n. 6, p. 608–622, dez. 2018.

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5. febr-geospatial-data-qualityfebr-geospatial-data-qualityPublic

   SAMUEL-ROSA, A. et al. Open legacy soil survey data in Brazil: geospatial data quality and how to improve it. Scientia Agricola, v. 77, n. 1, 2020.

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