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UID:pretalx-pista-ng-mapa-2023-GZBQUA@talks.staging.osgeo.org
DTSTART;TZID=PST:20231121T153000
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DESCRIPTION:As researchers\, our study focusses on the analysis of Taal Vol
 cano using remote sensing technology to investigate both thermal and defor
 mation patterns. Our core objective is to unveil intricate thermal unrest 
 patterns and decipher the volcano's behavior. Through the assessment of th
 ermal imagery\, we carefully identify and describe the patterns of thermal
  activity linked with volcanic unrest. Simultaneously\, we scrutinize defo
 rmation patterns to gain a comprehensive grasp of the dynamic nature of Ta
 al 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 specif
 ic to Taal Volcano. By incorporating remote sensing data\, our research pr
 ovides invaluable insights into the volcano's thermal dynamics and deforma
 tion patterns\, contributing significantly to hazard assessment\, volcanic
  monitoring\, and the formulation of proactive measures for community safe
 ty. In conclusion\, our study can be used for further research in understa
 nding of Taal Volcano's volcanic activity by dissecting thermal and deform
 ation patterns through remote sensing technology. These insights play a pi
 votal role in risk management and the formulation of effective strategies.
DTSTAMP:20260513T134427Z
LOCATION:Tacloban Room
SUMMARY:IDENTIFICATION OF PATTERNS OF THERMAL UNREST IN TAAL VOLCANO USING 
 REMOTE SENSING - Jann Rovic Cueto
URL:https://talks.staging.osgeo.org/pista-ng-mapa-2023/talk/GZBQUA/
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