Vol. 11, No. 1, 25-32, 2012

Mapping the distribution of chemical properties in soil profiles using laboratory imaging spectroscopy, SVM and PLS regression
Henning Buddenbaum, and Markus Steffens

Abstract
Laboratory imaging spectroscopy as a tool for studying the three-dimensional properties of soils is introduced. Hyperspectral images of parallel slices of a soil core sampled in a custom-made steel box were made. We used image spectra from chemically analysed samples to train Support Vector Machine and Partial Least Squares regression models of chemical soil properties. Special attention has to be paid on the correct number of estimator variables. The models were applied on the images to create sub-millimetre scale maps of carbon, nitrogen, iron, aluminium and manganese content in the soil profiles.

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History
Submitted: 19 Apr 2011
Revised: 17 Jan 2012
Accepted: 18 Jan 2012
Published: 20 Jan 2012
Responsible editor: Zbigniew Bochenek

Citation
Buddenbaum H & M Steffens, 2012. Mapping the distribution of chemical properties in soil profiles using laboratory imaging spectroscopy, SVM and PLS regression. EARSeL eProceedings, 11(1): 25-32

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EARSeL European Association of Remote Sensing Laboratories, Strasbourg, France

   
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BIS-Verlag
BIS Library and Information System, Carl von Ossietzky University of Oldenburg

 

ISSN 1729-3782