Estimating CO2 emissions from power plants is no easy task. And as with any challenging project, data quality is key to its success. No matter how complex and state-of-the-art a model is, it won’t be very good unless there is data in sufficient quantity and with adequate processing. Thus, this talk aims to demonstrate how we at TransitionZero and Climate TRACE rely on thorough analysis, dataset iteration and other data-centric tools to detect CO2 emissions of power plants from satellite imagery.