#UNSWSoilScienceCentral2018_EhsanZare
Ehsan Zare
Role: 
PhD candidate
Contact details:
Office: 
Room 570

Biological Sciences North (D26)
UNSW, Kensington 2052

#UNSWSoilScienceCentral2019: My Top 3

1. #UNSWSoilScienceCentral2018 is always changing, always evolving.

2. I love that I have a great degree of control and freedom within my tasks.

3. In #UNSWSoilScienceCentral2018 there is a "Fabulous" spirit of cooperation to get the job "Dooooooone!"

Time-lapse imaging of soil moisture monitoring in a flood irrigation field using electromagnetic conductivity imaging

Volumetric water content (VWC) is difficult to measure and monitor. Significant technological advances have been made in field instrumentation to enable this to be done efficiently and reliably. However, sensors such as the Decagon GS3 sensors are expensive and require significant time and effort to install. In my project with means of a Digital Soil Mapping (DSM) approach I seek to determine if a multi-coil EM sensing system, which measures the soil apparent electrical conductivity (ECa – mS/m), can be used in conjunction with an EM inversion software package (EM4Soil) to value add to the limited measurements of VWC and allow extrapolation along a single transect.

Supervisor: Associate Professor John Triantafilis

 

PUBLICATIONS

Li, N., Zare, E., Huang, J., & Triantafilis, J. (2018). Mapping Soil Cation-Exchange Capacity using Bayesian Modeling and Proximal Sensors at the Field Scale. Soil Science Society of America Journal.

Koganti, T., Narjary, B., Zare, E., Pathan, A. L., Huang, J., & Triantafilis, J. (2018). Quantitative mapping of soil salinity using the DUALEM21S instrument and EM inversion software. Land Degradation & Development.

Zare, E., Beucher, A., Huang, J., Boman, A., Mattbäck, S., Greve, M. H., & Triantafilis, J. (2018). Three-dimensional imaging of active acid sulfate soil using a DUALEM-21S and EM inversion software. Journal of Environmental Management212, 99-107.

Zare, E., Ahmed, M. F., Malik, R. S., Subasinghe, R., Huang, J., & Triantafilis, J. (2018). Comparing traditional and digital soil mapping at a district scale using residual maximum likelihood analysis. Soil Research, 56(5), 535-547.

Zare, E., Huang, J.,Triantafilis, J., 2016. Identifying soil landscape units at the district scale by numerically clustering remote and proximal sensed data.Computers and Electronics in Agriculture, 127, 510-520

Zare, E., Huang, J., Monteiro Santos, F.A., Triantafilis, J., 2015. Mapping salinity in three-dimensions using a DUALEM-421 and electromagnetic inversion software. Soil Science Society of America Journal, 79, 1729-1740.

Huang, J., Zare, E., Malik, R.S., Triantafilis, J., 2015. An error budget for soil salinity mapping using different ancillary data. Soil Research, 53, 561-575.