December 14, 2023
December 14, 2023


Mapping high-resolution soil properties with geoadditive models.


Agriculture and Fishing

Neiker was interested in elaborating high-resolution maps of carbon stocks and soil texture properties in different land use at 0-30cm depth in the Basque Country.

The goals of the project were to compute the soil erosivity factor (R-factor) in MJ mm ha-¹ h-¹ yr-¹ , to identify areas of susceptible erosion, to relate with climate and environmental variables, to predict organic carbon stock (Mg C/ha) and to predict soil texture properties (%sand, %clay and %silt).

  • Geoadditive models are used as an unified framework for spatial prediction with smooth effects of climate variables such as average temperature, min/max temperature and precipitation.
  • Carbon stocks are predicted using pedotransfer functions.
  • Soil texture data are estimated using a compositional data approach using an additive log-ratio transformation and a multivariate Gaussian distribution.

An unified mathematical framework for spatial prediction of rain erosivity factor and soil properties at high-resolution is developed.

These maps contribute to agricultural planning of crops, forest management and environmental protection.

Stock carbon and soil texture maps are publicly available at GeoEuskadi.

Stichting European Service Network of Mathematics For Industry and Innovation.

5052 Goirle, Netherlands