IDENTIFICATION OF PATTERNS OF THERMAL UNREST IN TAAL VOLCANO USING REMOTE SENSING
2023-11-21, 15:30–15:50 (Asia/Manila), Tacloban Room

As researchers, our study focusses on the analysis of Taal Volcano using remote sensing technology to investigate both thermal and deformation patterns. Our core objective is to unveil intricate thermal unrest patterns and decipher the volcano's behavior. Through the assessment of thermal imagery, we carefully identify and describe the patterns of thermal activity linked with volcanic unrest. Simultaneously, we scrutinize deformation patterns to gain a comprehensive grasp of the dynamic nature of Taal Volcano. Our findings, disclosing a weak negative correlation (-0.326, p-value: 0.113) between land surface temperature (LST) and deformation, suggest a lack of a strong linear connection between these factors specific to Taal Volcano. By incorporating remote sensing data, our research provides invaluable insights into the volcano's thermal dynamics and deformation patterns, contributing significantly to hazard assessment, volcanic monitoring, and the formulation of proactive measures for community safety. In conclusion, our study can be used for further research in understanding of Taal Volcano's volcanic activity by dissecting thermal and deformation patterns through remote sensing technology. These insights play a pivotal role in risk management and the formulation of effective strategies.