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Applied and Environmental Soil Science
Volume 2012 (2012), Article ID 439567, 9 pages
http://dx.doi.org/10.1155/2012/439567
Research Article

Using Reflectance Spectroscopy and Artificial Neural Network to Assess Water Infiltration Rate into the Soil Profile

1Soil Erosion Research Station, Soil Conservation and Drainage Division, Ministry of Agriculture, c/o Rupin Institute, Emek-Hefer 40250, Israel
2Ariel University Center of Samaria, Israel
3Department of Environmental Sciences, Weizmann Institute of Science, Rehovot 76100, Israel
4Department of Geography and the Human Environment, Tel-Aviv University, Remote Sensing and GIS Laboratory, P.O. Box 39040, Ramat Aviv, Tel Aviv 69978, Israel

Received 8 November 2011; Revised 6 April 2012; Accepted 18 June 2012

Academic Editor: Raphael Viscarra Rossel

Copyright © 2012 Naftali Goldshleger 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.

How to Cite this Article

Naftali Goldshleger, Alexandra Chudnovsky, and Eyal Ben-Dor, “Using Reflectance Spectroscopy and Artificial Neural Network to Assess Water Infiltration Rate into the Soil Profile,” Applied and Environmental Soil Science, vol. 2012, Article ID 439567, 9 pages, 2012. doi:10.1155/2012/439567