- [ONLINE] V11B-VR8015: Spatio-Temporal Analysis of Mud Volcanoes in Balochistan Using Remote Sensing and Machine Learning Approaches
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Shazia M.Yaqoob, Institute of Space Technology, Islamabad (First Author, Presenting Author)
Sajid Ghuffar, Institute of Space Technology
Muhammad Shakir, Institute of Space Technology
Mud volcanoes are natural landforms that emit gases and release mud from underground to the Earth's surface. These features can change over time and may indicate deeper activity within the Earth. In this study, we focused on mud volcanoes located in Balochistan, a region in Pakistan, to understand how they have changed in shape, size, and activity over time. We used satellite images and modern computer tools such as machine learning to detect and analyze these changes from space. This approach allowed us to track surface patterns, gas emissions, and temperature changes without needing to visit these remote and sometimes dangerous areas. Our findings help to improve the understanding of how mud volcanoes behave and how they may be linked to underground processes, which could be important for environmental monitoring and hazard assessment in the region. By combining Earth observation with smart technology, this study shows how science can safely and efficiently explore Earth's dynamic surface.
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