Regional mapping of soil parent material by machine learning based on point data

Abstract : A machine learning system (MART) has been used to predict soil parent material (SPM) at the regional scale with a 50-m resolution.The use of point-specific soil observations as training data was tested as a replacement for the soil maps introduced in previous studies, with the aim of generating a more even distribution of training data over the study area
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Article dans une revue
Geomorphology, Elsevier, 2011, 133, pp.90-99. 〈10.1016/j.geomorph.2011.06.026〉
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https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-00729273
Contributeur : Céline Martel <>
Soumis le : vendredi 7 septembre 2012 - 15:31:09
Dernière modification le : mercredi 21 mars 2018 - 16:08:06

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M. Lacoste, Blandine Foucaud Lemercier, Christian Walter. Regional mapping of soil parent material by machine learning based on point data. Geomorphology, Elsevier, 2011, 133, pp.90-99. 〈10.1016/j.geomorph.2011.06.026〉. 〈hal-00729273〉

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