From hurricanes and wildfires to urban sprawl and deforestation, the way we understand urban, environmental, and planetary change is increasingly mediated by satellite images and geospatial data. This hands-on methods course trains students across the humanities, social sciences, and sciences to turn earth-observation data into persuasive, narrative visualizations that not only show where change is happening, but why, and to whom. Working primarily in Google Earth Engine and other open-source tools, students will learn how to acquire, preprocess, analyze, and map earth-observation data, from spectral indices and machine-learning classification methods to time-series composites and cartographic design. Short lectures frame the technical labs within larger questions of power, representation, and justice, encouraging students to critique the assumptions that shape geospatial workflows even as you master them. Each year, the class grounds these skills in a topical module that tracks the most pressing environmental and urban challenges, demonstrating how evolving geospatial methods confront fresh, real-world problems. Weekly exercises build toward a collaborative final project: an evidence-rich, story-driven visualization portfolio that showcases analytical rigor and creative design. No prior coding or mapping experience is required; curiosity and a willingness to experiment are essential. The course fulfills the CEGU methods requirement and may also be eligible to meet methods requirements in other social sciences and humanities majors.