Artificial Intelligence in Geosciences

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.

Submissions to Artificial Intelligence in Geosciences may take the form of original research articles, review articles, perspective papers, or short communications, and a variety of topics will be considered. These include, but are not limited to:

AI-based decision support systems

AI-based precision geosciences

Smart sensors and the Internet of Things

Geosciences robotics and automation equipment

Geosciences knowledge-based systems

Computational intelligence in geosciences

AI in geosciences optimization management

Intelligent interfaces and human-machine interaction

Machine vision and image/signal processing

Machine learning and pattern recognition

Neural networks, fuzzy systems, neuro-fuzzy systems

Systems modeling and analysis

Expert systems in geosciences

Big data and cloud computing in geosciences

Automatic navigation and self-driving technology

High Performance Computing in the context of Machine Learning

Artificial Intelligence in Geosciences also welcomes suggestions and proposals for special issues.