Automatic Flood Detection Using CNN
Yede R.B, Y. D., Wagh R.S, Shastri R.K · International Journal of Research Publication and Reviews · 2023
Floods are catastrophic natural disasters that can cause extensive damage to infrastructure and human lives.Early and accurate flood detection is crucial for effective disaster response and mitigation.In recent years, Convolutional Neural Networks (CNNs) have emerged as a powerful tool for image and analysis.This research paper proposes an approach for flood detection using CNNs, aiming to enhance detection accuracy and speed while addressing existing limitations.The research paper concludes by discussing potential applications of the proposed flood detection approach, such as disaster management systems, early warning systems, and urban planning.It also highlights future research directions, including the integration of additional data sources such as remote sensing and weather data to further enhance flood detection performance.