The backscatter measured by radar and the emission measured by a radiometer
are both very sensitive to the moisture content m(v) of bare-soil surfaces
. Vegetation cover complicates the scattering and emission processes, and i
t has been presumed that the addition of vegetation masks the soil surface,
thereby reducing the radiometric and radar soil-moisture sensitivities. Ev
en though researchers working in the field of microwave remote sensing of s
oil moisture are all likely to agree with the preceding two statements,nume
rous claims and counterclaims have been voiced, primarily at symposia and w
orkshops, espousing the superiority of the radiometric technique over the r
adar, or vice versa. The discussion is often reduced to disagreements over
the answer to the following question "Which of the two sensing techniques i
s less impacted by vegetation cover?" This paper is an attempt to answer th
at question, Using realistic radiative-transfer models for the emission and
backscatter, calculations were performed for three types of canopies, all
at 1.5 GHz. The results lead to two major conclusions. First, the accepted
presumption that vegetation cover reduces the soil-moisture sensitivity is
not always true. Over certain ranges of the optical depth tau of the vegeta
tion canopy and the roughness of the soil surface, vegetation cover can enh
ance, not reduce, the radar sensitivity to soil moisture. The second conclu
sion is that under most vegetation and soil-surface conditions, the radiome
tric and radar soil-moisture sensitivities decrease with increasing tau, an
d the rates are approximately the same for both sensors, suggesting that at
least as far as vegetation effects are concerned, neither sensor can claim
superiority over the other.