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Spatial prediction of the exchangeable sodium percentage at multiple depths using electromagnetic inversion modelling

Author
HUANG, J1 ; DAVIES, G. B1 ; BOWD, D1 ; SANTOS, F. A. Monteiro2 ; TRIANTAFILIS, J1
[1] School of Biological, Earth and Environmental Sciences, The University of New South Wales, Kensington, NSW 2052, Australia
[2] Universidade de Lisboa, Instituto Don Luís- Laboratório Associado, C8, Lisboa 1749-016, Portugal
Source

Soil use and management. 2014, Vol 30, Num 2, pp 241-250, 10 p ; ref : 1 p.1/4

CODEN
SUMAEU
ISSN
0266-0032
Scientific domain
Agronomy, agriculture, phytopathology; Environment; Soil science, pedology
Publisher
Wiley-Blackwell, Oxford
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
DUALEM-421 alluvial clay plains exchangeable sodium percentage inversion modelling
Keyword (fr)
Argile Electromagnétique Modèle Modélisation Multiple Plaine alluviale Profondeur Prédiction Science du sol Sodicité Propriété chimique
Keyword (en)
Clay Electromagnetic Models Modeling Multiple Alluvial plain Depth Prediction Soil science Exchangeable sodium percentage Chemical properties
Keyword (es)
Arcilla Electromagnético Modelo Modelización Múltiple Llanura aluvial Profundidad Predicción Ciencia del suelo Sodicidad Propiedad química
Classification
Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A32 Agronomy. Soil science and plant productions / 002A32B Soil science

Discipline
Agronomy. Soil sciences and vegetal productions
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
28499908

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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