IDENTIFICATION OF PATTERNS OF THERMAL UNREST IN TAAL VOLCANO USING REMOTE SENSING

Abstract

This study investigated the potential relationship between Land Surface Temperature (LST) and Displacement within the context of thermal unrest in Taal Volcano using remote sensing. We analyzed a dataset spanning several years to understand patterns of change and potential correlations between these variables. The results revealed a weak negative correlation between LST and Displacement, with a correlation coefficient of approximately −0.154. However, the statistical analysis indicated that this correlation was not statistically significant. To improve future research in this area, we recommended the utilization of time series analysis to explore temporal trends, and the diversification of data sources, including information from various satellites. While our specific findings did not yield strong correlations, the study's outcomes contributed valuable insights into understanding thermal unrest in the Taal Volcano region using remote sensing, with a focus on LST and Displacement. Further research, incorporating these recommendations, will help our understanding of this complex relationship.