Critical minerals such as rare earth elements are essential for technologies that power modern life, from smartphones and renewable energy systems to defense applications. However, locating new sources of these minerals remains costly, complex, and often harmful to the environment. This project, led by a faculty researcher at Western Kentucky University, seeks to develop smarter, more sustainable ways to identify critical mineral deposits in the Mojave Desert of California, a region recognized as a national priority by the U.S. Geological Survey. By combining satellite data and advanced computer analysis, the project will help improve the efficiency and reduce the environmental impact of mineral exploration. In addition to advancing scientific understanding, the project will provide meaningful research experiences for students, creating pathways for all students interested in the geosciences and data science to develop the skills needed for future careers. Through workshops, presentations, and publications, the project will broadly share its results, encouraging innovation and learning across the scientific community and beyond. In doing so, this effort strengthens national supply chains for critical minerals, supports economic growth and national security, and promotes opportunity and participation in science for Americans everywhere. The technical goal of this project is to evaluate whether integrating remote sensing data with machine learning can enhance mineral prospec