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(Article of periodic en Anglais - 2015)

Document title

Laboratory-based Vis–NIR spectroscopy and partial least square regression with spatially correlated errors for predicting spatial variation of soil organic matter content

Authors(s) and Affiliation(s)

CONFORTI M. (1) ; CASTRIGNANÒ A. (2) ; ROBUSTELLI G. (3) ; SCARCIGLIA F. (3) ; STELLUTI M. (2) ; BUTTAFUOCO G. (1) ;
(1) CNR - Inst. for Agricultural and Forest Systems in the Mediterranean (ISAFOM), Rende, ITALIE
(2) CRA - Consiglio per la Ricerca e la Sperimentazione in Agricoltura, Bari, ITALIE
(3) DiBEST, Univ. of Calabria, Rende, ITALIE

Abstract

The AA. aim to test the potential of laboratory Vis–NIR spectroscopy to develop an approach of partial least square regression (PLSR) with correlated errors for estimating spatially varying soil organic matter (SOM) content from laboratory-based soil Vis–NIR spectra and producing a continuous map using a geostatistical method. The study area was the Turbolo watershed (Calabria, southern Italy), which is representative of Mediterranean areas being highly susceptible to soil degradation. It is highlighted that this approach is particularly advantageous when the data exhibit a pronounced spatial autocorrelation and could be used in digital soil mapping

Source

Article of periodic

published at : Catena / ISSN 0341-8162

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

Millesime : 2015, vol. 124 [pp. 60-67]

Bibliographic references : 63 ref.

Collation : 7 fig., 5 tabl.

Language

Anglais

INIST-CNRS, Cote INIST : 16767

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1016/j.catena.2014.09.004

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2014
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