Artificial Intelligence in Geosciences - KeAi Communications Co | 2024 Impact Factor: 4.2 | Cite Score: 6.2 | Q1

About this Journal:
Artificial intelligence (AI) is one of the fastest growing disciplines in electronic information technology. Along with diversified data, AI-enabled technologies such as image processing, smart sensors, and intelligent inversion, are being tested by researchers in a wide variety of geosciences domains. These technologies have the potential to help geosciences move from qualitative to quantitative analysis. We believe that taking an interdisciplinary approach will deliver benefits to both geosciences and AI.
Artificial Intelligence in Geosciences is an open access journal providing an interdisciplinary forum where ideas and solutions related to artificial intelligence and its applications in geosciences can be shared and discussed. To support this discussion, we encourage authors to open source their code, data, and the labels used in AI.
We welcome both fundamental science and applied research describing the practical applications of AI methods in the fields of geology, rock physics, seismicity, hydrology, ecology, marine geosciences, planetary science, environment, volcanology, oceanography, remote sensing and GIS, and related areas.

Scope of the Journal:
Geology, rock physics, seismicity, hydrology, ecology, marine/geophysical/planetary sciences.
Remote sensing, GIS, image & signal processing for spatial and environmental data.
Decision support systems, computational intelligence, optimization in geoscience applications.
Smart sensors, IoT, robotics in environmental monitoring.
Machine learning, neural networks, fuzzy/neuro-fuzzy systems, pattern recognition.
Big data/cloud computing, systems modeling and analysis in geoscientific problems.