Characterization of field-scale dryland salinity with depth by quasi-3d inversion of DUALEM-1 data

2017 ◽  
Vol 33 (2) ◽  
pp. 205-215 ◽  
Author(s):  
J. Huang ◽  
T. Kilminster ◽  
E. G. Barrett-Lennard ◽  
J. Triantafilis
2011 ◽  
Vol 92 (2) ◽  
pp. 357-372 ◽  
Author(s):  
Saeid Sadeghnejad ◽  
Mohsen Masihi ◽  
Akbar Shojaei ◽  
Mahmoudreza Pishvaie ◽  
Peter R. King

2003 ◽  
Vol 95 (4) ◽  
pp. 368-373 ◽  
Author(s):  
Mannix S Pedro ◽  
Shin Haruta ◽  
Kohei Nakamura ◽  
Masaru Hazaka ◽  
Masaharu Ishii ◽  
...  

2014 ◽  
Vol 48 (5) ◽  
pp. 2862-2869 ◽  
Author(s):  
Chris M. Kocur ◽  
Ahmed I. Chowdhury ◽  
Nataphan Sakulchaicharoen ◽  
Hardiljeet K. Boparai ◽  
Kela P. Weber ◽  
...  
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2017 ◽  
Vol 8 (2) ◽  
pp. 418-422 ◽  
Author(s):  
A. de Lara ◽  
R. Khosla ◽  
L. Longchamps

One among many challenges in implementing precision irrigation is the reliable characterization of the soil water content (SWC) across spatially variable fields. For this purpose, commercial retailers are employing apparent soil electrical conductivity (ECa) to create irrigation prescription maps. The accuracy of this method at the field scale has received little attention from the scientific community. Hence, the objective of this study was to characterize spatial distribution of soil water content at the field scale for the purpose of precision irrigation management. Results showed mean SWC to be different across ECa derived management zones, indicating that soil ECa was able to characterize mean differences in SWC across management zones.


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