Soil moisture temporal variations play a key role
in the hydrological processes occurring in the unsaturated zone,
which are critical for annual crop yields. The electrical resistivity
tomography technique was applied in a field cultivated with cotton
in northern Greece, thereby investigating its potential to serve
as a reliable soil moisture-monitoring tool for precision irrigation
in highly heterogeneous, clay-rich soils. Repeated surface resistivity
measurements were made along two plant lines combined
with soil water content measurements conducted with a reference
gravimetric method and an electromagnetic sensor. Resistivity
pseudo-sections were inverted to produce 2D resistivity models,
and time-lapse inversion algorithms were also used, to better
calculate the temporal changes in subsurface soil resistivity. The
results showed clear spatial and temporal changes in resistivity
transects in accordance with rainfall/irrigation and dry periods.
The soil resistivity data exhibited a power model relationship with
gravimetric soil moisture point measurements and a fair correlation
with electromagnetic sensor profiles.
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