A new methodological framework for geophysical sensor combinations associated with machine learning algorithms to understand soil attributes

A new methodological framework for geophysical sensor combinations associated with machine learning algorithms to understand soil attributes

<p>Geophysical sensors combined with machine learning algorithms were used to understand the pedosphere system and landscape processes and to model soil attributes. In this research, we used parent material, terrain attributes, and data from geophysical sensors in different combinations to tes...

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Bibliographic Details
Main Authors: D. C. D. Mello, G. V. Veloso, M. G. D. Lana, F. A. D. O. Mello, R. R. Poppiel, D. R. O. Cabrero, L. A. D. L. Di Raimo, C. E. G. R. Schaefer, E. I. F. Filho, E. P. Leite, J. A. M. Demattê
Format: Article
Language:English
Published: Copernicus Publications 2022-02-01
Series:Geoscientific Model Development
Online Access:https://gmd.copernicus.org/articles/15/1219/2022/gmd-15-1219-2022.pdf

Internet

https://gmd.copernicus.org/articles/15/1219/2022/gmd-15-1219-2022.pdf

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