  Spectrum coexistence between terrestrial Next-G cellular networks and
space-borne remote sensing (RS) is now gaining attention. One major question is
how this would impact RS equipment. In this study, we develop a framework based
on stochastic geometry to evaluate the statistical characteristics of radio
frequency interference (RFI) originating from a large-scale terrestrial Next-G
network operating in the same frequency band as an RS satellite. For
illustration, we consider a network operating in the restricted L-band
(1400-1427 MHz) with NASA's Soil Moisture Active Passive (SMAP) satellite,
which is one of the latest RS satellites active in this band. We use the Thomas
Cluster Process (TCP) to model RFI from clusters of cellular base stations on
SMAP's antenna's main- and side-lobes. We show that a large number of active
clusters can operate in the restricted L-band without compromising SMAP's
mission if they avoid interfering with the main-lobe of its antenna. This is
possible thanks to SMAP's extremely low side-lobe antenna gains.
