Solar supergranulation remains a mystery in spite of decades of intensive studies .
Most of the papers about supergranulation deal with its surface properties .
Local helioseismology provides an opportunity to look below the surface and see the vertical structure of this convective structure .
We present a concept of a ( 3+1 ) -D segmentation algorithm capable of recognising individual supergranules in a sequence of helioseismic 3-D flow maps .
As an example , we applied this method to the state-of-the-art data and derived descriptive statistical properties of segmented supergranules – typical size of 20–30 Mm , characteristic lifetime of 18.7 hours , and estimated depth of 15–20 Mm .
We present preliminary results obtained on the topic of the three-dimensional structure and evolution of supergranulation .
The method has a great potential in analysing the better data expected from the helioseismic inversions , which are being developed .