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Climate change is a long-term change in weather patterns from the tropics to the poles. It is a global threat that has begun to put strain on various industries. The goal of this study is to conceptually engineer how climate variability is affecting the sustainability of various sectors. This research investigated the implications and patterns associated with Land Surface Temperature (LST), Normalized Difference Built-up Index (NDBI), Normalized Difference Water Index (NDWI), and Normalized Difference Vegetation Index (NDVI) as markers of climate change in the Kheda (Kaira) District of Gujarat, India. The study took place between 2015 and 2020. An exploration into the correlation among LST, NDWI, NDVI, and NDBI was conducted. The findings indicated that LST was significantly influenced by higher vegetation and reduced bare land, resulting in a notable decrease in temperature. This is a promising sign for environmental changes in Kheda District between 2015 and 2020.
Patel et al. (Wed,) studied this question.