Advances in Machine Learning for Geoscience Applications
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".
Deadline for manuscript submissions: 31 December 2027 | Viewed by 87
Special Issue Editors
Interests: landslide risk control; landslide monitoring and early warning
Interests: geological hazard monitoring and early warning; risk assessment; emergency evacuation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The application of machine learning (ML) techniques is rapidly growing across various Earth science fields. With the increasing abundance of multi-source geospatial data, including remote sensing imagery, field monitoring data, and numerical simulation outputs, machine learning methods demonstrate enormous potential in addressing complex, non-linear, and high-dimensional Earth science problems that traditional methods struggle to resolve. This Issue focuses on methodological innovations and practical applications, covering areas such as geological hazard assessment and prediction, environmental monitoring, hydrological modeling, and geotechnical engineering.
We especially encourage explorations of novel machine learning algorithms (e.g., deep learning, ensemble learning, and hybrid physics-informed models), data-driven approaches to spatiotemporal analysis, and research integrating machine learning with physical models to enhance interpretability and reliability. At the same time, we also welcome research addressing challenges in Earth sciences, such as data scarcity, uncertainty quantification, model generalization, and interpretability.
Dr. Beibei Yang
Dr. Fasheng Miao
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- geosciences
- machine learning
- geological hazard monitoring and early warning
- physics-informed machine learning
- risk control
- geospatial data analytics
- environmental and ecological monitoring
- hydrological modeling
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