A delay & sum beamforming image-based algorithm for detecting gas and temperature in a rocky volcanic theater

After a volcanic eruption the collapse is accompanied by large volcano gas releases. The variation, in the supply rate of magma and other volcanic materials, can be determined by measuring the rate of gas emissions. When used alongside temperature data, these indicators provide as reliable measures of active volcanoes. Monitoring requires appropriate measurement methods and technologies. This study presented two algorithms, that is, multiple signal classification (MUSIC) and Doppler processing based on delay and sum beamforming (DAS), for image sensing devices to detect deposits on rocky volcanoes. We have got intriguing results using these methods. Using the MUSIC technique, we have localized the temperature on the rocky surface cross-section, and also found velocity and displacement gas emission using Doppler processing. The histogram has been used to evaluate cross-sectional rocky images.