The knowledge on the spatial distribution of soil available water capacity at a regional or national extent is essential, as soil water capacity is a component of the water and energy balances in the terrestrial ecosystem. It controls the evapotranspiration rate, and has a major impact on climate. This paper demonstrates a protocol for mapping soil available water capacity in South Korea at a f...

Abstract. High-resolution soil maps are urgently needed by land managers and researchers for a variety of applications. Digital mapping (DSM) allows us to regionalize properties relating them environmental covariates with the help an empirical model. In this study, legacy dataset was used train machine learning algorithm in order predict particle size distribution within catchment Bode River Sa...

Digital soil mapping (DSM) is a statistical technique that utilizes characteristics and environmental factors to create spatial distribution maps representing properties. The SCORPAN model, consisting of (S), climate (C), organisms (O), relief (R), parent materials (P), age (A) space (N), describes the used in DSM techniques. objectives this study were assess map carbon stocks Chungcheong provi...

As digital soil mapping (DSM) applications have been developed at multiple extents over the two last decades, large areas of world are now covered by several DSM products with similar resolution and targeted properties. Thus, from these products, end-users must carefully select one that will best meet their needs. The aim this study was to evaluate three obtained different scales (global, natio...