Natural disasters incur many fatalities and economic losses for vulnerable and developing countries such as the Philippines.It is crucial that during calamities, on-ground surveillance is supplemented by low-cost and time-efficient methods such as satellite remote Enhanced Photocatalytic Degradation Activity of BiFeO3 Microspheres by Decoration with g-C3N4 Nanoparticles sensing.Diwata-2 is a Philippine microsatellite specifically equipped for disaster assessment.In this study, the capabilities of this satellite in ashfall detection were explored by closely examining the case of the Taal volcano eruption on January 12, 2020.
Satellite images covering parts of CALABARZON and Metropolitan Manila before and after the phreatomagmatic eruption were compared.The presence and extent of heavy ash over the study area were identified Short-term wind power combination forecasting method based on wind speed correction of numerical weather prediction after the image classification using the Support Vector Machine (SVM) algorithm.A decrease in vegetation cover and built-up areas was also observed.Upon validation, an overall accuracy of 91.
4562 and Kappa coefficient of 0.8833 were achieved for the post-eruption ashfall extent map, exhibiting the potential of Diwata-2 imagery in monitoring volcanic eruptions and similar phenomena.