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Sensors 2017, 17(10), 2347; https://doi.org/10.3390/s17102347

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

Department of Geomatics Engineering, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, Canada
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Received: 16 August 2017 / Revised: 9 October 2017 / Accepted: 12 October 2017 / Published: 14 October 2017
(This article belongs to the Special Issue Remote Sensing and GIS for Geo-Hazards and Disasters)
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Abstract

The northeastern region of Bangladesh often experiences flash flooding during the pre-harvesting period of the boro 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 boro 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 boro rice acreage considering the planting to mature stages of the crop. Also, in order to map the extent of the damaged boro area, we utilized MODIS data as their 16-day composites provided cloud free information. Our results indicated that both the cultivated and damaged boro area estimates based on satellite data had strong relationships while compared to the ground-based estimates (i.e., r2 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. View Full-Text
Keywords: Landsat-8; MODIS; normalized difference vegetation index (NDVI); multi-temporal data; boro rice Landsat-8; MODIS; normalized difference vegetation index (NDVI); multi-temporal data; boro rice
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Ahmed, M.R.; Rahaman, K.R.; Kok, A.; Hassan, Q.K. Remote Sensing-Based Quantification of the Impact of Flash Flooding on the Rice Production: A Case Study over Northeastern Bangladesh. Sensors 2017, 17, 2347.

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