Authors: Dr. Kavita Sharma,Mr. Rohan Desai
Abstract: Floods remain one of the most destructive natural disasters worldwide, causing extensive economic losses, loss of life, and long-term socio-environmental impacts. The integration of satellite-based remote sensing technologies with advanced geospatial analysis has transformed flood monitoring, mapping, and early warning capabilities. This paper reviews the role of multi-sensor remote sensing data—ranging from optical to synthetic aperture radar (SAR)—in accurately detecting flood extents, mapping inundation patterns, and supporting early warning systems. Emphasis is placed on the use of near-real-time imagery, integration with hydrological models, and the benefits of cloud computing platforms in delivering rapid assessments. The discussion also addresses challenges such as cloud cover interference, spatial resolution limitations, and the need for interdisciplinary collaboration. Through an overview of case studies and technological trends, the paper underscores the potential of remote sensing based flood mapping to enhance disaster preparedness, response efficiency, and community resilience.
Keywords: Remote sensing, flood mapping, SAR, early warning system, disaster resilience, hydrological modeling
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