(Article of periodic en Anglais - 2009)

Document title

Prediction of soil depth using environmental variables in an anthropogenic landscape, a case study in the Western Ghats of Kerala, India

Authors(s) and Affiliation(s)

KURIAKOSE S.L. (1) ; DEVKOTA S. (2) ; ROSSITER D.G. (1) ; JETTEN V.G. (1) ;
(1) United Nations University - ITC School for Disaster Geo-Information Management. International Inst. for Geo-information Science and Earth Observation, Enschede, PAYS-BAS
(2) Forum for Energy and Environmental Development (FEED), Kathmandu, NEPAL


This study compares empirico-statistical methods with geostatistical methods for predicting soil depth in such a landscape: Aruvikkal catchment in the Western Ghats of Kerala, India. Regression kriging applied on blocks of 20 m by 20 m using the environmental covariates elevation, slope, aspect, curvature, wetness index, land use and distance from streams, proved to be the best predictor of soil depth. This model explains 52% of the variability of soil depth in the catchment; with a prediction variance of 0.05 to 0.19. A Gaussian simulation was attempted for a more realistic visualization of the depth, as opposed to the smooth kriging prediction. The most important explanatory variable of soil depth in this landscape is land use, as expected from the strong human intervention


Article of periodic

published at : Catena / ISSN 0341-8162

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

Millesime : 2009, vol. 79, no1 [pp. 27-38]

Bibliographic references : 1 p.

Collation : 10 fig., 4 tabl.



INIST-CNRS, Cote INIST : 16767

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1016/j.catena.2009.05.005

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2010
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