AI-Based Flood Prediction System for Disaster Preparedness

Abstract

The suggested research is based on artificial intelligence for the enhancement of flood analysis and disaster management through incorporating deep learning. Thus, relying on powerful Google’s Earth Engine as a cloud-based environment for analysis of geospatial data, we designed a model on the basis of satellite imagery, climate data and past floods to predict future ones. The chaotic interactions between the environment and floods are analyzed through feed forward deep learning model of CNN and LSTM with the distinction presented in details as follows. It assist the authorities in making proper projections on floods occurrences and therefore mitigate the effects of such disasters wherever they occur. The results revealed here strengthen the proposed method to attain a better solution than the other methods with the higher prediction rate. The above proposed system of AI flood prediction has the use in managing the losses that may be caused by floods, and in this way, may help to prevent the loss of many lives, therefore making it a crucial invention in the eventuality of disasters.