 This paper proposes an approach to quickly estimate the impact area following a large earthquake by a social media by combining citizen sensor data with other auxiliary data using a spatial logistic growth model, SLGM. The reliability of the approach is demonstrated in two earthquake cases and its external validity is verified across other earthquake events. This article was authored by Yandong Wang, Shisi Ruan, Teng Wang, and others.