Characterisation of the soil structure and microwave backscattering based on numerical three-dimensional surface representation: Analysis with a fractional Brownian model
M. Zribi et al., Characterisation of the soil structure and microwave backscattering based on numerical three-dimensional surface representation: Analysis with a fractional Brownian model, REMOT SEN E, 72(2), 2000, pp. 159-169
In this paper, local structure of bare soil is analyzed from the fractal po
int of view. Soil surface profiles were created from three dimensional (3-D
) stereoscopic images of soil surface leading to 3-D numerical reconstructi
on of the soil topography with very fine resolution. Investigations are don
e with a database (four soils) that includes three main soil classes accord
ing to the way of tillage: smoothed field from rainfalls, ploughed, and sow
ed fields. The fractional Brownian model developed by Mandelbrot is used to
describe local structure of soil roughness. For the database soils, fracta
l nature of the profiles is demonstrated over a finite range of scales show
ing a good stability of fractal dimension for each one. This model also pro
vides an excellent analytic fit to the experimental correlation function of
the soil. Therefore, a new method to calculate its shape at the origin and
a more stable correlation length is presented. To study the influence of t
he band-limited fractal nature of the soil on radar signal, the Moment Meth
od is used to evaluate the backscattered field and to obtain the radar cros
s-section by statistical averaging. Surfaces used for this electromagnetic
simulation are cylindrical and perfectly conducting. A method is developed
to generate soil surface profiles that have the same statistical properties
and the sam roughness parameters values (rms height, correlation length, a
nd fractal dimension) as what has been found on our database soils. The gen
eration method is based on an initially Gaussian correlated random profile,
modified by the random mid-point displacement method to introduce the shor
t-range disorder that depends on fractal dimension. The radar disorder that
depends on fractal dimension. The radar signal level computed on these sur
faces by the Moment Method shows the dependence of backscattering on fracta
l dimension and new aspects in electromagnetic scattering behavior over soi
ls. (C) Elsevier Science Inc., 2000.