Artificial intelligence (AI) is one of the most rapidly developing fields in the field of electronic information technology. Along with diverse data, researchers are putting AI-enabled technologies like image processing, smart sensors, and intelligent inversion to the test in a number of geosciences areas. These technologies have the potential to aid the transition from qualitative to quantitative analysis in geosciences. Artificial intelligence (AI) approaches have proven to be effective in a variety of Earth scientific fields (e.g., climate models, weather prediction, hydrology, space weather, and solid Earth). Prediction, anomaly detection, event classification, and onboard decision-making are all tasks that AI approaches are utilised for on satellites, and they could possibly give high-speed options for describing subgrid processes in climate models. Artificial intelligence (AI) is one of the most rapidly developing fields in the field of electronic information technology. Along with diverse data, researchers are putting AI-enabled technologies like image processing, smart sensors, and intelligent inversion to the test in a number of geosciences areas. These technologies have the potential to aid the transition from qualitative to quantitative analysis in the geosciences.