The temporal variation in a soil moisture profile can be studied using
resistivity sounding data acquired at different times. The layered ea
rth model based estimation of soil moisture from apparent resistivity
data is a two-step non-linear inversion. Firstly, the apparent resisti
vity data are inverted to derive the layer resistivity variations and
thicknesses and, secondly, the moisture content is estimated from thes
e layer resistivity variations using a calibration equation. The soil
moisture-resistivity problem was studied using the one-dimensional for
mulation of resistivity problem. A generalized geoelectric earth model
was considered to simulate the soil moisture distribution and its tem
poral variation in the unsaturated zone. An algorithm (RESMOS) for the
interpretation of the apparent resistivity data in terms of soil mois
ture variations through this two-step inversion process is reported.