Effect of Seasonal Land Surface Temperature Variation on COVID-19 Infection Rate: A Google Earth Engine-Based Remote Sensing Approach
This study aims to identify the effect of seasonal land surface temperature variation on the COVID-19 infection rate. The study area of this research is Bangladesh and its 8 divisions. The Google Earth Engine (GEE) platform has been used to extract the land surface temperature (LST) values from MODI...
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| Main Authors: | , , |
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| Format: | Book |
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SAGE Publishing,
2022-10-01T00:00:00Z.
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |