A Multi-satellite Resource Integration Organization Model Based on Grids

Satellite resources are generalizations of limited capabilities of satellite-based Earth observation systems to produce remote sensing data to satisfy observational needs. We propose a satellite resource organization model to address the inconsistency of basic units for ground coverage characterization, the time-consuming process of area target access analysis, and the bottlenecks in abilities analysis in satellite coverage. This model provides a new path for improving the efficiency of various analytical methods. Firstly, it relies on the GeoSOT(geographical coordinate global subdivision grid with one-dimension-integer on two to nth power) reference frame, and then the global space-time coverage information of the satellite is calculated and stored in advance into a grid to form a spatial-temporal coverage grid to provide support for subsequent satellite coverage performance analysis or task scheduling. The traditional real-time complex computation process will turn into a process of "update once, search repeatedly" based on the model's large table. At the same time, the model uses a multi-scale grid system to characterize the satellite coverage area, which solves the problem brought by inconsistent basic coverage units, and also can provide technical support for simplifying the process of satellite cooperative scheduling. Finally, this paper chooses area target access analysis and regional simple coverage calculation as typical applications to verify that the performance improvement of methods based on this model can be greater than that of the traditional methods.