The model presented in this paper derives toposequences from a digital elevation model (DEM). It is written in ArcInfo Macro Language (AML). The toposequences are called kth-order random toposequences, because they take a random path uphill to the top of a hill and downhill to a stream or valley bottom from a randomly selected seed point, and they are located in a streamshed of order k accordin...

The paper introduces a method of digital mapping of spatial distribution of soil typological units. It implements fuzzy k-means to classify the soil profile data (study area from the Považský Inovec Mountains, Slovakia) and regression-kriging with the selected digital terrain and remote sensing data to draw membership maps of soil typological units. Totally three soil typological units were ide...

The density of soil observations is a major determinant digital mapping (DSM) prediction accuracy. In this study, we investigated the effect sampling on performance DSM to predict topsoil particle-size distribution in Mayenne region France. We tested two algorithms, namely ordinary kriging (OK) and quantile random forest (QRF). study area ~5000 km2 with highest field France (1 profile per 0.64 ...