1SAS - Sol Agro et hydrosystème Spatialisation (UMR 1069, Sol Agro et Hydrosystème Spatialisation, Batiment 13, Agrocampus Ouest, 65 rue de Saint Brieuc CS 84215 35042 Rennes CEDEX - France)
AGROCAMPUS OUEST (Institut Supérieur des Sciences Agronomiques, Agroalimentaires, Horticoles et du Paysage - 65, rue de St Brieuc - CS 84215 - 35042 Rennes cedex - France)
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
https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-00729273
Contributeur : Céline Martel
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Soumis le : vendredi 7 septembre 2012 - 15:31:09
Dernière modification le : mardi 15 janvier 2019 - 13:46:05
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〉
