Advances in Remote Sensing

Vol.5 No.3(2016), Paper ID 68713, 11 pages

DOI:10.4236/ars.2016.53013

 

Evaluating Reflected GPS Signal as a Potential Tool for Cotton Irrigation Scheduling

 

Xin Qiao, Ahmad Khalilian, Jose O. Payero, Joe Mari Maja, Charles V. Privette, Young J. Han

 

Department of Agricultural and Environmental Sciences, Clemson University, Clemson, SC, USA
Department of Agricultural and Environmental Sciences, Clemson University, Clemson, SC, USA
Edisto REC, Clemson University, Blackville, SC, USA
Edisto REC, Clemson University, Blackville, SC, USA
Department of Agricultural and Environmental Sciences, Clemson University, Clemson, SC, USA
Department of Agricultural and Environmental Sciences, Clemson University, Clemson, SC, USA

 

Copyright © 2016 Xin Qiao, Ahmad Khalilian, Jose O. Payero, Joe Mari Maja, Charles V. Privette, Young J. Han 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


Qiao, X. , Khalilian, A. , O. Payero, J. , Mari Maja, J. , V. Privette, C. and J. Han, Y. (2016) Evaluating Reflected GPS Signal as a Potential Tool for Cotton Irrigation Scheduling. Advances in Remote Sensing, 5, 157-167. doi: 10.4236/ars.2016.53013.

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