Search Results - "Samuel-Rosa, Alessandro"

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Improving soil property maps for precision agriculture in the presence of outliers using covariates.

Authors: Pusch, Maiara Samuel-Rosa, Alessandro Oliveira, Agda Loureiro Gonçalves et al.

Source: Precision Agriculture. Oct2022, Vol. 23 Issue 5, p1575-1603. 29p.

A note on knowledge discovery and machine learning in digital soil mapping.

Authors: Wadoux, Alexandre M. J.‐C. Samuel‐Rosa, Alessandro Poggio, Laura et al.

Source: European Journal of Soil Science. Mar2020, Vol. 71 Issue 2, p133-136. 4p.

Subjects: Digital soil mapping, Machine learning, Pattern recognition systems, Histosols

Spatial variation of carbon and nutrients stocks in Amazonian Dark Earth.

Authors: Alho, Carlos Francisco Brazão Vieira Samuel-Rosa, Alessandro Martins, Gilvan Coimbra et al.

Source: Geoderma. Mar2019, Vol. 337, p322-332. 11p.

OpenLandMap-soildb: global soil information at 30 m spatial resolution for 2000–2022+ based on spatiotemporal Machine Learning and harmonized legacy soil samples and observations.

Authors: Hengl, Tomislav Consoli, Davide Tian, Xuemeng et al.

Source: Earth System Science Data. 2026, Vol. 18 Issue 2, p989-1036. 48p.

Covariates in sample planning optimization for digital soil fertility mapping in agricultural areas.

Authors: Pusch, Maiara Samuel-Rosa, Alessandro Sergio Graziano Magalhães, Paulo et al.

Source: Geoderma. Jan2023, Vol. 429, pN.PAG-N.PAG. 1p.

OpenLandMap-soildb: global soil information at 30 m spatial resolution for 2000–2022+ based on spatiotemporal Machine Learning and harmonized legacy soil samples and observations.

Authors: Hengl, Tomislav Consoli, Davide Tian, Xuemeng et al.

Source: Earth System Science Data Discussions. 6/24/2025, p1-66. 66p.

SoilGrids1km — Global Soil Information Based on Automated Mapping.

Authors: Hengl, Tomislav de Jesus, Jorge Mendes MacMillan, Robert A. et al.

Source: PLoS ONE. Aug2014, Vol. 9 Issue 8, p1-17. 17p.