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Applied and Environmental Soil Science
Volume 2012 (2012), Article ID 971252, 20 pages
http://dx.doi.org/10.1155/2012/971252
Research Article

A Comparison of Feature-Based MLR and PLS Regression Techniques for the Prediction of Three Soil Constituents in a Degraded South African Ecosystem

1Department of Land Surface, German Remote Sensing Data Center (DFD), German Aerospace Center (DLR), Oberpfaffenhofen, 82234 Weßling, Germany
2Remote Sensing Section, Department of Geodesy and Remote Sensing, German Research Centre for Geosciences (GFZ), Telegrafenberg, 14473 Potsdam, Germany

Received 16 February 2012; Revised 20 April 2012; Accepted 21 May 2012

Academic Editor: Eyal Ben-Dor

Copyright © 2012 Anita Bayer et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [1 citation]

The following is the list of published articles that have cited the current article.

  • Nurhussen Mehammednur Seid, Birru Yitaferu, Kibebew Kibret, and Feras Ziadat, “Soil-Landscape Modeling and Remote Sensing to Provide Spatial Representation of Soil Attributes for an Ethiopian Watershed,” Applied and Environmental Soil Science, vol. 2013, pp. 1–11, 2013. View at Publisher ยท View at Google Scholar