 This paper investigated the potential use of satellite data for detecting earthquake precursors. It examined various parameters such as sea surface temperature, air temperature, relative humidity, outgoing long-wave radiation, total electron content, and geomagnetic activity. The authors found that each parameter showed anomalous variations before and after the earthquake. Additionally, they used machine learning algorithms to analyze the data and identified possible precursory signals. These results suggest that satellite data can be used to detect earthquakes and provide valuable information about their precursors. This article was authored by Muhammad Umar Dras, Nuna Rasha, Panyawi Jamjiri Gulgan, and others.