Abstract: Against the backdrop of global energy transition, the rapid development of new energy vehicles and lithium battery technologies has led to an exponential increase in the demand for lithium ore. Although global lithium resources are abundant, the prices of lithium ore have experienced significant fluctuations in recent years, primarily due to insufficient production capacity and the concentrated release of capacity. Therefore, monitoring production capacity is crucial to ensure supply stability. Nearly 70% of the global lithium resources are found in salt lake brines, predominantly located in the Lithium Triangle Region of South America （including Chile, Argentina, and Bolivia）. In recent years, numerous Chinese mining enterprises have invested in this region, making the Lithium Triangle Region of South America a potential key global lithium supply base in the future. This paper focuses on the Atacama Salt Lake in Chile as an example. The region is well-suited for the natural evaporation and concentration of brine through sun exposure in solar ponds, enriching beneficial components, and extracting lithium from salt lake brines using the solar ponds concentration precipitation method. Lithium extraction relies heavily on drying in solar ponds, making it feasible to monitor production capacity by remotely sensing the solar ponds area. This research utilizes long-term Landsat and Sentinel satellite remote sensing data, employing visual interpretation and support vector machine extraction techniques to obtain long-term remote sensing data on solar ponds area from 1985 to 2019. Furthermore, the study explores the relationship between the solar ponds area of the Atacama Salt Lake and lithium capacity. By linearly fitting the annual solar ponds area and yield data, a conversion formula between solar ponds area and lithium production capacity is proposed. The results show a R² value of 0.91, with over 97% of the data points falling within the 95% prediction band, indicating a high correlation between the two and validating the effectiveness of this method. This study presents a semi-automated approach to monitoring lithium production capacity in salt lakes, offering new insights for monitoring lithium production capacity in salt lake brine-type lithium resources and contributing to a more robust development of the new energy transition.