Feature Papers for AI and Big Data in Earth Science
A special issue of Earth (ISSN 2673-4834). This special issue belongs to the section "AI and Big Data in Earth Science".
Deadline for manuscript submissions: 31 October 2026 | Viewed by 11
Special Issue Editor
Interests: water resources management; hydrological modeling; artificial intelligence; sustainable development; time series
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid advancement of artificial intelligence (AI), machine learning (ML), and big data analytics is revolutionizing how we observe, model, and understand the Earth system. With the growing availability of high-resolution satellite data, sensor networks, and large-scale simulations, Earth science is becoming increasingly data-intensive. These emerging technologies enable the extraction of hidden patterns, improve forecasting accuracy, and enhance our ability to assess and mitigate environmental risks.
At the same time, the increasing availability of diverse remote sensing data, such as radar, optical, and LiDAR acquired through multiplatform (drone and satellite) and multi-resolution systems, is reshaping how Earth processes are observed, analyzed, and modeled. The integration of heterogeneous datasets with AI-driven methodologies offers new opportunities to develop more accurate, interpretable, and scalable models of environmental dynamics.
This Special Issue welcomes manuscripts addressing, but not limited to, the following themes:
- AI and machine learning applications in geoscience, climate, and environmental modeling.
- Big data analytics and data fusion for remote sensing and Earth observation.
- Integration of radar, optical, and LiDAR data from multiplatform and multi-resolution systems.
- Open-source and cloud-based frameworks for large-scale environmental data analysis.
- Interpretable AI, uncertainty quantification, and model validation in Earth system studies.
Dr. Hossein Bonakdari
Guest Editor
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. Earth is an international peer-reviewed open access semimonthly 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 1400 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
- artificial intelligence
- machine learning
- big data
- remote sensing
- radar
- optical
- LiDAR
- multiplatform observation
- multi-resolution analysis
- earth system modeling
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