This report, present the results from a revolutionary method pioneered by Carbon Tracker to use satellite imagery to estimate the utilisation of fossil fuel power plants. Using advanced machine learning techniques to process both commercial and public satellite images of coal plants, explore the potential to estimate the capacity factors of coal plants in regions where data is inadequate for investors, policymakers and campaigners to make informed decisions. This analysis brings asset-level data to life by making it possible to develop actionable climate scenario analysis for coal power. It can also help investors gain trading insights in emerging Asian economies, which are significant contributors to global GDP and have considerable fossil fuel exposure.