Researchers at the Institute for Soil Sciences have developed a new method for creating large-scale soil particle size distribution maps that show the detailed spatial distribution of sand, silt, and clay content at a resolution of 25 meters for six soil layers (down to a depth of 2 meters). The maps were generated using a geostatistical method combined with machine learning, with input data sourced from the Profile-Level Database of the Hungarian Large-Scale Soil Mapping (Hungarian acronym: NATASA). This database contains data from previous large-scale soil surveys. The new method estimates soil particle size distribution based on the upper limit of soil plasticity according to Arany, soil pH, calcium carbonate content, organic matter content, and soil type. The spatial extension of sand, silt, and clay content was further refined using topographic, geological, and land cover data. The first set of high-resolution maps was produced for the Lenti District of Zala County as a test area. However, the method is fully applicable to other areas covered by the expanding nationwide NATASA database.