Many scientists use a global characterization of bare soil surface random roughness. Surface roughness is often
characterized by statistical parameters deduced from its autocorrelation function. Assuming an autocorrelation model and
a Gaussian height distribution, some authors have developed algorithms for numerical generation of soil surfaces that
have the same statistical properties. This approach is widespread and does not take into account morphological aspects of
the soil surface micro-topography. Now a detail surface roughness analysis reveals that the micro-topography is
structured by holes, aggregates and clods. In the present study, we clearly show that when describing surface roughness
as a whole, some information related to morphological aspects is lost. Two Digital Elevation Model (DEM) of a same
natural seedbed surface were recorded by stereo photogrammetry. After estimating global parameters of these natural
surfaces, we generated numerical surfaces of the same average characteristics by linear filtering. Big aggregates and
clods were then captured by a contour-based approach. We show that the two-dimensional autocorrelation functions of
generated surfaces and of the two agricultural surfaces are close together. Nevertheless, the number and shape of
segmented object contours change from generated surfaces to the natural surfaces. Generated surfaces show fewer and
bigger segmented objects than in the natural case. Moreover, the shape of some segmented objects is unrealistic in
comparison to real clods, which have to be convex and of low circularity.
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