Abstract
Super-cyclone Amphan caused a devastating impact on agriculture in West Bengal. The present study aims at identifying the agricultural areas affected due to cyclone Amphan led water inundation in twelve selected districts of Gangetic West Bengal. The Sentinel 1 data of both pre- and post-cyclonic periods were analyzed to obtain the inundation area. Subsequently, the multi-temporal Landsat 8 datasets of 2019 and 2020 from April to June were analyzed to assess the crop conditions existing during the pre-cyclonic period. Both the layers were intersected to estimate the district-wise inundated agricultural areas along with the crop conditions. The post-cyclone water inundation was highest (43408 ha.) in Purba Medinipur. Among the inundated agricultural area, the standing crop including both growing and mature was significantly higher than harvested crop area. The validation with the ground-based information shows that the proposed approach was able to detect the crop conditions existing during the pre-cyclonic period efficiently with more than 90% accuracy. Hence, the same methodology may be adopted for assessing the crop damages caused due to cyclone induced inundation.
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