FLOOD DETECTION USING SYNTHETIC APERTURE RADAR DATA AND ARTIFICIAL INTELLIGENCE

Abstract

Flooding is one of the most common and devastating natural disasters. They not only create massive economic damage (to human property), but they also result in a significant loss of human life. As a result, it is critical to use Earth observations, in the prevention and mitigation of the disasters resulting from floods. Synthetic Aperture Radar (SAR) has the advantage to observe Earth under all-weather conditions, day and night. However, human interpretation of radar backscatter signals from different land cover classes from a flood region is difficult. Artificial Intelligence methods can be utilised to identify the most influential features in a SAR signal corresponding to flood extents. In terms of accuracy and error rate, AI is now the most promising solution for flood debris forecasts and management. Artificial intelligence is impacting the future of virtually every industry, and it is going to change the world more than anything in the history of mankind.