 The rapid development of Earth observation capabilities over the last few years has opened up a wealth of new possibilities for understanding our planet's hydrology. From CubeSats to UAVs to smartphones, there are now many different ways to collect data about the environment, ranging from high resolution imagery to detailed measurements of atmospheric conditions. These new sources of data provide us with a much greater understanding of the Earth's surface and atmosphere, allowing us to better understand processes like evaporation, flooding, and temperature changes. However, the sheer volume of data generated by these new sources presents a challenge. How do we make sense of all this information? Fortunately, recent advancements in computing power and machine learning algorithms allow us to quickly analyze large datasets and extract meaningful insights. By leveraging these new technologies, we can gain a deeper understanding of our planet's hydrology and its impacts on human society. This article was authored by M. F. McCabe, M. Roddle, D. E. Alstorf, and others. We are article.tv, links in the description below.