RETRIEVING SOIL-MOISTURE OVER BARE SOIL FROM ERS-1 SYNTHETIC-APERTURERADAR DATA - SENSITIVITY ANALYSIS BASED ON A THEORETICAL SURFACE SCATTERING MODEL AND FIELD DATA
E. Altese et al., RETRIEVING SOIL-MOISTURE OVER BARE SOIL FROM ERS-1 SYNTHETIC-APERTURERADAR DATA - SENSITIVITY ANALYSIS BASED ON A THEORETICAL SURFACE SCATTERING MODEL AND FIELD DATA, Water resources research, 32(3), 1996, pp. 653-661
In order to assess the retrieval of soil moisture from ERS 1 (European
Remote Sensing Satellite) synthetic aperture radar (SAR) data, an inv
ersion procedure based on the integral equation model (IEM) [Fung et a
l., 1992] is developed. First, the IEM is used to analyze the sensitiv
ity of radar echoes (in terms of the backscattering coefficient sigma(
0)) to the surface parameters (roughness and dielectric constant) unde
r ERS 1 SAR configuration. Results obtained for random rough bare soil
fields show that the effect of surface roughness is very strong, part
icularly in the case of smooth surfaces, and that the sensitivity of s
igma(0) to dielectric constant is independent of the radar configurati
on and the roughness conditions. This means that the range of variatio
n of backscattering with respect to the dielectric constant variation
of dry to wet soil remains the same (about 5 dB) for any roughness con
dition and radar configuration. The possibility of applying the invers
ion procedure to retrieve soil moisture is investigated using a set of
data collected in a test site situated near Naples, Italy, during the
Sele Synthetic Aperture Radar experiment (SESAR) campaign (November 1
993). Simultaneous with ERS 1 overpasses, dielectric constant and roug
hness measurements were taken over two flat bare fields. From this ana
lysis it is found that the inversion of backscattering from ERS 1 SAR
into soil moisture is not reliable without accurate information on rou
ghness if the surface is smooth. In this case it is observed that the
sensitivity to the roughness parameters is much higher than the sensit
ivity to dielectric constant, so that even a small error in the measur
ement of this parameter can affect the retrieved value of soil moistur
e significantly. The inversion procedure provides more reliable soil m
oisture estimates when surfaces rougher than those analyzed in the fie
ld experiment are considered.