Abstract: Selecting an appropriate index is essential for the scientific and effective early warning of landslides. To explore the potential use of geomagnetic fluctuation signals as an early warning index for landslides, this study investigates the characteristics of geomagnetic fluctuations associated with landslides. The Xinmocun landslide is chosen as the case study. Using cross-correlation analysis, we examine the data correlation between observation stations near the landslide and count the frequency of disturbance signals during the observation period to identify geomagnetic disturbance phenomena associated with the landslide. The study aims to elucidate the characteristics and patterns of geomagnetic disturbance signals related to landslides. The results reveal that significant geomagnetic disturbances were observed before the destabilization of the Xinmocun landslide. These disturbances predominantly occurred in the main sliding direction of the landslide and were marked by the presence of sustained high cross-correlation (CC) values (yellow, CC>0.45) in areas near the landslide point. These geomagnetic disturbance signals persisted for a prolonged period before and after the landslide event, displaying a pattern of frequent signals prior to instability, rapid reduction at the point of landslide failure, and strong correlation with the deformation and damage characteristics of the landslide. The findings suggest that geomagnetic disturbance signals can serve as a novel indicator for landslide monitoring. This approach offers the potential to identify the location of potential landslides, assess the evolutionary stages of sudden landslides, and enable effective early warning. Thus, the geomagnetic disturbance signals provide a promising tool for enhancing landslide prediction and risk management strategies.