I am trying to interprete satelite images for soil mapping from landcover correlation.
Very good question . Let me respond to your question .Zonal soils are interrupted at the regional level by so-called azonal and intra-zonal soil and vegetation types. These are linked to the appearance of site-specific features such as the presence of salts or alkalis in the soil and their related vegetation, the presence of marshland areas with a swamp vegetation, and so on.
Modern soil classifications like the FAO or USDA Soil Taxonomy systems nowadays put more emphasis on inherent soil properties, but have still maintained the underlying principle of world zonal differentiation, and the link with either the natural land cover or the land use potential for crop production.
Another work , i am citing with DOI : 10.1109/TGRS.2013.2287712. The studies included multiclass land cover mapping, forest-nonforest delineation, and classification of soil type under vegetation. PolSAR data used in the study were collected by the ALOS PALSAR sensor in 2006-2007 over a managed boreal forest site in Finland. A supervised classification approach using selected polarimetric features in the framework of probabilistic neural network (PNN) was adopted in the study. It has no assumptions about statistics of the polarimetric features, using nonparametric estimation of probability distribution functions instead. The PNN-based method improved classification accuracy compared with standard maximum-likelihood approach. The improvement was considerably strong for soil type mapping under vegetation, indicating notable non-Gaussian effects in the PolSAR data even at L-band. The classification performance was strongly dependent on seasonal conditions. The PolSAR feature data set was further modified to include a number of recently proposed polarimetric parameters (surface scattering fraction and scattering diversity), reducing the computational complexity at practically no loss in the classification accuracy. The best obtained accuracies of up to 82.6% in five-class land cover mapping and more than 90% in forest-nonforest mapping in wall-to-wall validation indicate suitability of PolSAR data for wide-area land cover and forest mapping. Find another two PDFs fro further reading . Hope , they will be useful.
A comprehensive image of the relationships between land use and soil is reported in The Soils of Italy, by Springer
http://www.springer.com/us/book/9789400756410
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