Impact Assessment of Cyclone Amphan on Agriculture Over Parts of West Bengal Using Remote Sensing

PRABIR KUMAR DAS; TANUMI KUMAR; SOUMYA BANDYOPADHYAY; SAON BANERJEE

doi:10.54894/JISCAR.40.1.2022.111626

Authors

PRABIR KUMAR DAS Regional Remote Sensing Centre-East, NRSC, New Town, Kolkata - 700 156, West Bengal, India https://orcid.org/0000-0001-8096-8828
TANUMI KUMAR Regional Remote Sensing Centre-East, NRSC, New Town, Kolkata - 700 156, West Bengal, India https://orcid.org/0000-0002-8804-8847
SOUMYA BANDYOPADHYAY Regional Remote Sensing Centre-East, NRSC, New Town, Kolkata - 700 156, West Bengal, India
SAON BANERJEE Department of Agrometeorology and Physics, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur - 741 252, West Bengal, India

https://doi.org/10.54894/JISCAR.40.1.2022.111626

Keywords:

Amphan, Landsat 08, Sentinel 1, Inundation, Crop assessment, Cyclone

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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