Soil passability modelling depends on the quality and integration of soil data. This study evaluates the influence of soil database selection on passability assessment using soil datasets commonly used in the Czech Republic. Soil types and soil texture were harmonised, validated against field observations, and analysed with respect to spatial agreement. Results show that DSM50 provides the most consistent soil type information, while soil texture assessment relies on the dataset with the widest coverage, as no clear best dataset emerged. An attribute‑specific hierarchical integration framework is proposed to ensure robust and operationally applicable soil passability modelling.