Remote Sensing-Based Quantification of the Impact of Flash Flooding on the Rice Production: A Case Study over Northeastern Bangladesh.

The northeastern region of Bangladesh often experiences flash flooding during the pre-harvesting period of the rice crop, which is the major cereal crop in the country. In this study, our objective was to delineate the impact of the 2017 flash flood (that initiated on 27 March 2017) on rice using multi-temporal Landsat-8 OLI and MODIS data. Initially, we opted to use Landsat-8 OLI data for mapping the damages; however, during and after the flooding event the acquisition of cloud free images were challenging. Thus, we used this data to map the cultivated rice acreage considering the planting to mature stages of the crop. Also, in order to map the extent of the damaged area, we utilized MODIS data as their 16-day composites provided cloud free information. Our results indicated that both the cultivated and damaged area estimates based on satellite data had strong relationships while compared to the ground-based estimates (i.e., ² values approximately 0.92 for both cases, and RMSE of 18,374 and 9380 ha for cultivated and damaged areas, respectively). Finally, we believe that our study would be critical for planning and ensuring food security for the country.