Remote sensing through the SEBAL model
BasFood's technology is remote sensing. 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 the SEBAL model.
SEBAL model
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.
SEBAL model
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.
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