Remote sensing satellite networks are increasingly important for delivering remote sensing image services, but the demand for large-scale data transmission presents new challenges. Named Data Networking (NDN), a novel network architecture, offers significant advantages in this context. However, NDN’s congestion control design challenges the optimization of network throughput while ensuring fairness in multi-source, multipath scenarios. To address above issues, this propose a Fair Rate Shaping-Based Congestion Control (FRSCC) Strategy for remote sensing satellite networks. FRSCC ensures fair bandwidth allocation by regulating Interest packet forwarding rates through a fair rate shaping mechanism on router nodes. Additionally, FRSCC incorporates a forwarding strategy to adjust traffic allocation across links, thus enhancing bandwidth utilization on non-congested paths. The proposed FRSCC is implemented in ndnSIM. And simulation results show that FRSCC achieves an average fairness index of 0.99 in a dumbbell topology and improves average throughput by 102.7% compared to the PCON scheme in a satellite topology.