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Big data and artificial intelligence in earth science: recent progress and future advancements

Verdu Elena, Nieto Yuri Vanessa, Saleem Nasir

Acta Geophysica

2023

Vol. 71, no. 3

1373--1375

Earth science informatics has experienced significant growth in recent decades due to advancements in computational efficiency and processing power. The fourth industrial revolution has had a major impact on the environment, making earth science informatics crucial for detecting and predicting changes in the ecosystem and understanding the interactions between the land, ocean, and climate system. To tackle these challenges, data-driven approaches such as big data analytics and artificial intelligence (AI) are being utilized with increasing frequency. Big data analytics and AI allow researchers to analyse and acquire insights more efficiently, making predictions with observed data more effective. AI algorithms learn patterns from input and output data to establish a relationship and create a training model. The optimization of AI algorithms can improve the efficiency of earth science data computation even with complex datasets, uncovering hidden relationships and correlations between data sources. This Special Issue aims to bring together some of the leading experts in the field to share their latest research findings, as well as their perspectives on the future of Big data analytics and AI. Each of the fourteen articles published in this Special Issue has been rigorously peer-reviewed to ensure that they meet the highest standards of quality and scientific rigour. We are pleased to present the following highlights of these carefully selected contributions.