Statistical phenomena of greater distributed clusters of nanosatellites

The paper deals with the solution of the Earth remote sensing problem by a cluster of ordinary nanosatellites combined in a network and distributed over the inter-turn interval of the orbit. The number of nanosatellites in a cluster used to perform global observations for 24 hours can be determined by statistical modeling on square matrices, taking into account uncontrollable and random position of such satellites in a cluster. Another statistical phenomenon is investigated along with the percolation threshold, namely, the point of maximum clusterization possessing robustness.