Assessing lodging damage of jute crop due to super cyclone Amphan using multi-temporal Sentinel-1 and Sentinel-2 data over parts of West Bengal, India

recovered crop, depending on the crop vigor/height. Decision matrix was prepared combining (0 VH) and (0 VH for NDVI-based crop vigor strata (low, medium, and high) to classify the area into affected, marginally affected and normal. Overall accuracy of the classified map was found to be 84.12% with kappa coefficient of 0.74. Nearly, 12.5% of the jute area, i.e., 38,119 ha was found to be either affected or marginally affected due to Amphan and distributed in the southern part of Murshidabad, north-eastern Nadia, northern 24 Paraganas (N), and middle region of Hooghli district. Geospatial map of block-wise affected jute area was prepared to facilitate informed decision making. The study demonstrated an operational methodology for assessing crop lodging due to natural calamities to support relief management and crop insurance.The present study is a maiden attempt to assess jute crop lodging due to super cyclone Amphan (20 May 2020) by synergistic use of Sentinel-2 (optical) and Sentinel-1 (SAR) data over part of West Bengal, India. Pre-event Sentinel-2 data (9 April, 14 May) along with the ground information were used to map the jute crop of the affected districts with accuracy of 85%. The cross-polarized backscatter (sigma(0)(VH)) of Sentinel-1 was found to be sensitive to the sudden change in the canopy structure due to lodging and partial flooding.Delta sigma(0)(VH)(sigma(0)(VH)(_22) May - sigma(0)(VH)(_16) May) indicating post-event damage was > 2.5 dB over the affected jute crop and (Delta 0 VH) (()sigma(0)(VH)_22 May - sigma(0)(VH)_28 May) representing post-event recovery showed > 1.5 dB for