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

Internet

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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