Remote Sensing & Modelling of Covid-19 using Satellite Imaging

ABSTRACT

The world is under continuous threat of deadly virus Covid-19 and its rapidly evolving and mutating variants. Several efforts are being made by researchers and scientists worldwide to model and predict the behavior of spreading pattern of Covid-19 virus. In this paper, relationship between weather conditions and Covid19 spread rate is modelled with the help of data acquired by satellite using MODIS. To perform all the experiments, three data sets are used one is taken from NASA related to MODIS and weather satellite images, second data set is of Kaggle related to latest Covid-19 case reports and third data set used is related to weather. Further, Covid-19 data set is also analyzed and modeled using look up learning 2D model. From the experimental results, it is observed that the various weather parameters obtained from satellite can be used to model the impact and spread of Covid-19. The data set once prepared is fed as input to early warning system for Covid-19. It is concluded that the designed system can be an efficient technique for issuing precautionary alert in the society. © 2022 IEEE.