UST Civil Engineering Department

PUBLICATION ALERT: The UST Department of Civil Engineering is pleased to announce that the undergraduate research, "Volumetric Seepage Modelling Using Soil Moisture Data from Sentinel Satellite Imagery," has been officially published in the IEEE Xplore Digital Library. This study, completed during the A.Y. 2023–2024, by Alvin Allen Manuel, Jessie Mae Allyson Co, Christabel Jane Rubio, and Ryan Ramirez, establishes a new framework for monitoring the structural integrity of the Pantabangan Dam through advanced remote sensing techniques. By employing a paired PolSAR-Optical approach from Sentinel satellites, the research successfully quantifies the complex relationship between soil moisture levels and volumetric seepage.

The findings demonstrate that while environmental factors like heavy rainfall during the wet season can impact performance, the model achieved a high degree of accuracy during dry periods. Specifically, when remotely sensed data was integrated with reservoir water level measurements, the model yielded a strong correlation. This highlights the significant potential of using satellite-based monitoring as a viable, non-invasive tool for infrastructure safety and water resource management.

This work was recently featured at the 2026 International Conference on Artificial Intelligence, Computer, Data Sciences, and Applications (ACDSA 2026). The department invites you to explore the methodology and detailed results of this study through the IEEE Xplore portal at the following link: https://doi.org/10.1109/ACDSA67686.2026.11467623.