The escalating global demand for sustainable energy has spurred interest in solar energy as an eco-friendly solution. Determining suitable sites for solar installations requires evaluation of geographical, economic, and technological aspects. Geographic Information Systems (GIS) have emerged as powerful tools for evaluating spatial data in such analyses, enabling the integration of diverse geospatial information to support informed decision-making. Yet, prevailing research predominantly focuses on large-scale installations, largely due to data constraints concerning rooftop installations. This study seeks to address this gap by employing empirical formulas to estimate parameters relevant to characterizing and predicting solar energy output from rooftop installation sites. More specifically, this study aims to cite potential solar energy installation areas on the main campus of Bataan Peninsula State University. Using pre-processed Himawari-8 satellite data and Digital Surface Model, the total Potential PV Output of the University roof was calculated.