Multi-frequency and multi-temporal polarimetric SAR measurements, carried o
ut during SIR-C/X-SAR missions over the Montespertoli area have been analys
ed and compared with data collected at the same frequency and polarization,
but at different dates, with the NASA/JPL AIRSAR. This paper presents an a
nalysis of the achieved results aiming at evaluating the contribution of SA
R data for estimating some geophysical parameters which play a significant
role in hydrological processes and in particular soil moisture and roughnes
s.
The study has pointed out that in the scale of surface roughness typical of
agricultural areas, a co-polar L-band sensor gives the highest information
content for estimating soil moisture and surface roughness. The sensitivit
y to soil moisture and surface roughness for individual fields is rather lo
w since both parameters affect the radar signal. However, considering data
collected at different dates and averaged over a relatively wide area that
includes several fields, the correlation to soil moisture is significant, s
ince the effects of spatial roughness variations are smoothed. On the other
hand the sensitivity to surface roughness is better manifested at a spatia
l scale, integrating on time to reduce the effects of moisture variation. T
he retrieval of both soil moisture and surface roughness has been performed
with good results by means of a semi-empirical model.