Deconstructing Big Data for Carbon Emission and Carbon Footprint Detection

The aim of this research paper is to delve into the arising multidisciplinary field of carbon emission and carbon footprint detection, focusing on the forever developing potential of big data analytics. It explores the multiple uses of big data in computer science, environmental policymaking, and CO2 emissions reduction. The paper also emphasizes the significant impact of this field on nations where there are considerable substantial benefits and categorizes the scrutiny of specific sectors, air pollution jurisdiction, and technological invention. The findings explain the importance of using practical and analytical methods in future studies for environmental policy assessment using big data, aiming to enhance our understanding of carbon emissions and how they impact global climate change. Eventually, this study will contribute to the ongoing process to combat climate change and lay the foundation for data-driven environmental policies which will address the remarkable effects of carbon emissions on our planet.