This paper presents a distributed framework providing high-level positioning guidance for multi-UAV systems operating on a hemispherical domain. Unlike conventional coverage approaches restricted to planar environments, the proposed method optimizes a coverage objective directly on the hemisphere, enabling three-dimensional viewpoint coordination around a dynamic target. Each UAV computes its motion using only locally available data, while the target position and a predefined probability density function remain independent of team size. The framework is validated through simulations and real-world experiments, demonstrating scalability and robustness.