<p>Hailstorms pose a significant threat to agricultural productivity by causing extensive damage to crop lands. The agricultural sector experiences substantial crop loss each year due to sudden changes in climatic conditions, occurring just when farmers are about to harvest their crops. This research focuses on assessing crop damage in select districts of Haryana state by utilizing satellite data obtained during the hailstorms that occurred in March 2023. The proposed methodology involved acquiring pre- and post-hailstorm satellite images from Sentinel-2 and deriving vegetation indices, such as the Disaster Vegetation Damage Index (DVDI) and Normalized Difference Vegetation Index (NDVI). Maximum Likelihood classification was used to classify cropped areas for both pre- and post-hailstorm periods. The analysis of the NDVI and DVDI profiles of the cropped area in the study region revealed significant variations between the pre- and post-hailstorm periods. The results indicate that approximately 16.85% of the total cropped area in the study region was affected by the hailstorm that occurred in March 2023. The findings of this study underscore the potential of Sentinel-2 data agriculture risk management.</p>