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(Article of periodic en Anglais - 2011)

Document title

Using Canonical Correspondence Analysis (CCA) to identify the most important DEM attributes for digital soil mapping applications

Authors(s) and Affiliation(s)

BAGHERI BODAGHABADI M. (1) ; SALEHI M.H. (1) ; MARTÍNEZ-CASASNOVAS J.A. (2) ; MOHAMMADI J. (1) ; TOOMANIAN N. (3) ; ESFANDIARPOOR BORUJENI I. (4) ;
(1) Soil Science Dep., College of Agriculture, Univ., Shahrekord, IRAN, REPUBLIQUE ISLAMIQUE D'
(2) Dep. of Environment and Soil Science, Univ., Lleida, ESPAGNE
(3) Agriculture and Natural Resource Research Center, Isfahan, IRAN, REPUBLIQUE ISLAMIQUE D'
(4) Soil Science Dep., College of Agriculture, Vali-e-Asr Univ., Rafsanjan, IRAN, REPUBLIQUE ISLAMIQUE D'

Abstract

The aim of this study was to analyze relationships between topographical properties derived from DEM and soil distribution and to discuss their applicability in Digital Soil Mapping (DSM). The study was carried out in the Borujen area of central Zagros, Iran. A total of 13 plots were set up to calculate the percentages of the dominant soil series. Fifteen DEM attributes, including slope, aspect, curvature, maximum and minimum curvature, planform curvature, profile curvature, tangent curvature, wetness index, power index, sediment index, area solar radiation, direct radiation, diffuse radiation and direct duration were also computed. Canonical Correspondence Analysis (CCA) was used to summarize the data set and to evaluate the expected relationships. The results obtained show that there was a relatively strong correspondence between soils' series distribution and topographical properties

Source

Article of periodic

published at : Catena / ISSN 0341-8162

Editor : Catena, Cremlingen-Destedt - ALLEMAGNE (1973)

Millesime : 2011, vol. 86, no1 [pp. 66-74]

Bibliographic references : 48 ref.

Collation : 4 fig., 7 tabl.

Language

Anglais

INIST-CNRS, Cote INIST : 16767

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1016/j.catena.2011.02.009

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2011
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