This study presents a grid-based approach for approximating the Martian magnetic field from large satel-lite datasets, incorporating measurements from the MGS and MAVEN spacecraft. Utilizing pre-defined grid structures, including the spherical rectangular equal-area grid and a rectangular geographic grid, the method efficiently processes extensive data to construct a high-resolution global model. The algorithm details a systematic procedure for data selection, filtering, and approx-imation onto these grids, addressing the challenges associated with handling vast quantities of satellite data.