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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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Detalles Bibliográficos
Autores principales:	Nafiz Rahaman, Sk., Shehzad, Tanvir, Sultana, Maria
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	SAGE Publications 2022
Materias:	Short Report
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9574535/ https://www.ncbi.nlm.nih.gov/pubmed/36262201 http://dx.doi.org/10.1177/11786302221131467

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