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A cyclone is one of the major hazards around the coastal area which leads to loss of life, damage to property and drastic changes in land use and land cover (LULC). After the disaster, the country must develop various mitigation plans to rehabilitate the affected area. The present research brings out the LULC changes and the major transitions observed during the Gaja cyclone occurred on 10th November 2018 in East coastal region of Tamilnadu and Puducherry, India. The normalized difference vegetation index (NDVI) differencing method and classification method are commonly used as a change detection method and provide detailed information for detecting and monitoring changes in land useland cover (LULC). So in the presented study to raise responsiveness for the LULC change in Gaja cyclone-affected areas, two sentinel-2 images of the years 2018 and 2019 have been prepared and used to obtain NDVI images and execute image classification. At the initial stage, differences between two correspondent NDVI images of the area were calculated. From the results, very high vegetation region’s NDVI values have decreased by about more than 5 % from pre-cyclone to post-cyclone. At the subsequent stage, a supervised classification was performed and outputs of the two time periods were compared to derive information on changes that occurred over a period of time. During the study period, plantation crops were decreased from 17.4 % of the total land in pre-cyclone to 6.8% in post-cyclone.

Gaja Cyclone Induced Changes to Plantation Crops using NDVI Differencing and Classification Methods