Investigating the flooded area of Bangladesh by Sentinel_1 and CHIRPS images in the GEE system

Abstract

Climate change has been linked to the occurrence of severe weather events such as storms,
droughts, and floods. The utilization of remote sensing technology has shown promise in
predicting these events and supporting crisis management planning efforts. A noteworthy
example is the catastrophic flooding that occurred in Bangladesh in May 2022, resulting in a
significant loss of life and displacement of hundreds of thousands of individuals. In response,
remote sensing techniques, including CHIRPS satellite imagery and Synthetic Aperture Radar
(SAR) data, were employed to monitor and assess the extent and impact of the flooding. The
Normalized Difference Built-Up Index (NDBI) was utilized to demonstrate a decrease in urban
development by 10% in areas affected by floods. Moreover, the public's preference for urban
development was found to be clustered around the northwestern border with India, indicating
potential areas of focus for future urban development planning. These findings highlight the
utility of remote sensing technology in the realm of crisis management and urban
development planning.