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The COVID-19 in India is part of the global coronavirus pandemic (COVID- 19) caused by severe acute breathing syndrome 2 (SERS-CoV-2). The first case of COVID-19 in India, which originated from China, was reported on January 30, 2020. This study analyzes the effects of lockdown during COVID-19 on land surface temperature for the six categories of water, wetland, bare land, forest, cropland, and urban. It is essential to examine the mean LST differences for each land cover type. This study uses the SR data from Landset8. All Landsat level 1 and level 2 data is directly available to Google Earth Engine, including top of atmosphere (TOA) and surface reflectance (SR). The process is a comparative analysis, so data of the same periods are analyzed for 2019 before lockdown and 2020. There are significant changes that have been seen in land surface temperature. Therefore, it is essential to incorporate an investigation regarding LST differences for each land cover type in various anthropogenic levels. So our results show mean LST differences between during and before the emergence of COVID-19 for each land cover type regarding lockdown policy in Rajasthan, India. |
