Soil resource mapping for precision farming using remote sensing

Multispectral airborne remote sensing was used to improve the inventory of soil heterogeneity at the sub-field level. A bioindicative model was developed, based on cause and effect relationships of the soil-plant-sensor system. The spectral information was transformed into soil information using bioindicative transfer functions. This procedure enables quantitatively the spatial detection of the limiting soil quality e.g. the plant available water capacity of the root zone. Remote sensing based maps as developed in this study will support farmers and agricultural advisors to practice precision farming using site-specific management.