Abstract. To understand, model, and predict landscape evolution,
ecosystem services, and hydrological processes, the availability of detailed
observation-based soil data is extremely valuable. For the EstSoil-EH
dataset, we synthesized more than 20 eco-hydrological variables on soil,
topography, and land use for Estonia (https://doi.org/10.5281/zenodo.3473289, Kmoch et al., 2019a) as numerical and categorical values from the
original Soil Map of Estonia, the Estonian 5 m lidar DEM, Estonian
Topographic Database, and EU-SoilHydroGrids layers. The Soil Map of Estonia maps more than 750 000 soil units throughout Estonia
at a scale of 1:10 000 and forms the basis for EstSoil-EH. It is the most
detailed and information-rich dataset for soils in Estonia, with 75 % of
mapped units smaller than 4.0 ha, based on Soviet-era field mapping. For
each soil unit, it describes the soil type (i.e. soil reference group), soil
texture, and layer information with a composite text code, which comprises
not only the actual texture class, but also classifiers for rock
content, peat soils, distinct compositional layers, and their depths. To use
these as eco-hydrological process properties in modelling applications we
translated the text codes into numbers. The derived parameters include soil
layering, soil texture (clay, silt, and sand contents), coarse fragments, and
rock content of the soil layers within the soil profiles. In addition, we
aggregated and predicted physical variables related to water and carbon
cycles (bulk density, hydraulic conductivity, organic carbon content,
available water capacity). The methodology and dataset developed will be an important resource for the
Baltic region, but possibly also for all other regions where detailed
field-based soil mapping data are available. Countries like Lithuania and
Latvia have similar historical soil records from the Soviet era that could
be turned into value-added datasets such as the one we developed for
Estonia.