Authors : Dr. Ananya Sharma, Rohan Verma
ABSTRACT : Tsunamis are among the most devastating natural disasters, causing large-scale destruction to coastal communities, infrastructure, and ecosystems. The rapid detection, monitoring, and assessment of tsunami impacts are essential for effective disaster management and mitigation. Remote sensing technologies, including optical, thermal, and radar imaging, have emerged as powerful tools for assessing tsunami impacts in near-real time and over large geographic areas. These technologies facilitate damage mapping, inundation assessment, and post-disaster recovery planning. This paper presents a comprehensive examination of tsunami impact assessment using remote sensing techniques, highlighting the capabilities and limitations of different sensors, data processing methodologies, and integration with Geographic Information Systems (GIS). Emphasis is placed on historical case studies, such as the 2004 Indian Ocean tsunami and the 2011 Tōhoku tsunami, to illustrate how remote sensing data have enhanced understanding of tsunami dynamics and damage patterns. The study also explores advancements in real-time satellite monitoring, AI-based image analysis, and multi-sensor fusion to improve accuracy and response time. The insights gained can aid policymakers, urban planners, and disaster management authorities in strengthening coastal resilience against future tsunami events.
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