BasFood uses PI-Mapping® technology. 

Satellites routinely scan radiation data from the earth's surface and transmit these to base stations, from where the relevant frequency bandwidths are acquired by BasFood where they are interpreted and calculated through complex algorithms in PI-Mapping® models, e.g. SEBAL. 

PI-Mapping® uses satellite measurements from multiple platforms, routine weather station data and auxiliary GIS data sources. PI-Mapping® is able to handle multiple satellite sources with different swath widths, pixel sizes, wavelengths and revisit periods, and is by doing so not dependent on the data flow of a single satellite system. The multi-spectral satellite data cover visible, near-infrared, middle-infrared, thermal-infrared and micro wave range.

The SEBAL model is developed at the University of Wageningen in the Netherlands, by Prof Dr Bastiaanssen. SEBAL stands for Surface Energy Balance Algorithm for Land and is based on the actual intake of CO² and the evaporation H²O of plants. The SEBAL model is accurate per pixel with resolutions down to 10x10 meters. SEBAL is rapidly gaining worldwide recognition through its practical application in a variety of projects, of which the latest is the detailed and accurate measurement of crops in the field. SEBAL is the only model in the which provides directly quantitative data such as kilograms per hectare or liters per square meter.