Modeling soil moisture from in situ portable X-ray spectrometer measurements: A novel approach for correcting geochemical data across different environments and climatic conditions

Gloaguen, Thomas Vincent; Marinho Reis, Amélia Paula; Philippe, Magali; Le Roux, Gaël

doi:10.1016/j.apgeochem.2024.106066

Applied Geochemistry

2024

DOI: 10.1016/j.apgeochem.2024.106066

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Modeling soil moisture from in situ portable X-ray spectrometer measurements: A novel approach for correcting geochemical data across different environments and climatic conditions

Thomas Vincent Gloaguen,

Amélia Paula Marinho Reis,

Magali Philippe

et al.

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Combining Machine Learning Models and X-Ray Fluorescence Spectroscopy for Digital Soil Mapping in Highly Geologically Variable Environments

Souza,

Gloaguen,

Fernandes-Filho

et al. 2024

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Combining Machine Learning Models and X-Ray Fluorescence Spectroscopy for Digital Soil Mapping in Highly Geologically Variable Environments

Souza,

Gloaguen,

Fernandes-Filho

et al. 2024

Preprint

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Modeling soil moisture from in situ portable X-ray spectrometer measurements: A novel approach for correcting geochemical data across different environments and climatic conditions

Cited by 1 publication

References 45 publications

Combining Machine Learning Models and X-Ray Fluorescence Spectroscopy for Digital Soil Mapping in Highly Geologically Variable Environments

Combining Machine Learning Models and X-Ray Fluorescence Spectroscopy for Digital Soil Mapping in Highly Geologically Variable Environments

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