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
Contributor : Céline Martel
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Submitted on : Friday, September 7, 2012 - 3:31:09 PM
Last modification on : Saturday, March 30, 2019 - 2:30:13 AM
M. Lacoste, Blandine 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⟩
