Advances in Remote Sensing

Vol.7 No.4(2018), Paper ID 89438, 14 pages

DOI:10.4236/ars.2018.74021

 

Prediction of Soil Salinity Using Multivariate Statistical Techniques and Remote Sensing Tools

 

Moncef Bouaziz, Mahmoud Yassine Chtourou, Ibtissem Triki, Sascha Mezner, Samir Bouaziz

 

3E Laboratory, National Engineering School of Sfax, University of Sfax, Sfax, Tunisia
3E Laboratory, National Engineering School of Sfax, University of Sfax, Sfax, Tunisia
3E Laboratory, National Engineering School of Sfax, University of Sfax, Sfax, Tunisia
Faculty of Environmental Sciences, Institute of Geographie, TU-Dresden, Dresden, Germany
3E Laboratory, National Engineering School of Sfax, University of Sfax, Sfax, Tunisia

 

Copyright © 2018 Moncef Bouaziz, Mahmoud Yassine Chtourou, Ibtissem Triki, Sascha Mezner, Samir Bouaziz 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


Bouaziz, M. , Chtourou, M. , Triki, I. , Mezner, S. and Bouaziz, S. (2018) Prediction of Soil Salinity Using Multivariate Statistical Techniques and Remote Sensing Tools. Advances in Remote Sensing, 7, 313-326. doi: 10.4236/ars.2018.74021.

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