Patrick Rea, of the NASA Atmospheric Science Data Center (ASDC) demonstrates how to visualize and evaluate Earth's surface temperature at seven locations across the globe using NASA's Prediction of Worldwide Energy Resources (POWER) Annual Meteorology image service through the ArcGIS API for Python library, and introduces other Python libraries that can be used to access NASA Earth science image services.