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Predicted soil classes' maps were produced.
Eight soil classes from different taxonomic units were studied.
Digital soil mapping (DSM) can predict the spatial distribution of soil classes.
In the present study, DSM was investigated to predicted soil classes in a flood plain.
Thus, we found an important relationship between NDVI and soil classes.
The simulated soil genetic properties at different times were grouped into numerical soil classes.
This allows us to follow the evolution of the soil classes with time.
Spectral and terrain parameters were calculated and logit models of the soil classes were developed.
This could enhance the full representation of the expected soil properties or soil classes.
Across a 220 km2 district with a diversity in landforms, parent materials, and land use types, we generated maps of Pre-European (soil classes that existed prior to agricultural development) soil classes using a digital soil mapping approach.
The experiment was carried out using three major soil classes with different textures from tropical environment in Brazil.
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