Stratis Karantanellis is a researcher and lecturer at U-M, specializing in geologic hazards and 3D remote sensing. His work includes landslide detection and assessment with remote sensing data and Machine Learning. He is also serving as Chair of the Young Engineering Geologist committee and Vice President of the International Association for Engineering Geology.

Abstract:
Natural hazards and climate change are intricately linked, with shifting climatic patterns exacerbating the frequency and intensity of natural hazards such as landslides, floods, and storms. As these threats grow in scale and unpredictability, assessing their impacts and developing mitigation strategies has become a critical challenge for ensuring the resilience of communities and ecosystems. The research explores the evolving landscape of natural hazards and climate change, emphasizing advancements in scientific methodologies, technological innovations, and interdisciplinary approaches. Addressing the critical need for proactive assessment strategies, the study highlights the integration of remote sensing, geospatial analysis, and predictive geological modeling to enhance hazard mapping and assessment. By fostering a deeper understanding of dynamic environmental processes and their interactions, this research aims to contribute to more effective strategies for sustainable development and disaster preparedness in a rapidly changing world.