The continuously growing amount of satellite data has opened numerous avenues for research into exciting computer vision-based applications. In this context, the SMAC challenge aims to identify and measure earthquakes using satellite imagery. More specifically, the proposed challenge is a classification and regression challenge that, given the satellite imagery, aims to identify affected areas and the strength of the events. Additionally, this challenge poses an extra evaluation of resource consumption to search for the most scalable solutions possible. The main purpose of the challenge is to foster discussions between researchers and first responders involved in the remote sensing domain to tackle problems related to hazard management and their impact. The report highlights the potential and the necessity for a deeper collaboration between domain experts and computer scientists.