Machine Learning. Earth is a peer-reviewed english-language open-access journal published by IOP Publishing in United Kingdom, operating under an open-access model since 2025. The journal covers Environmental sciences and Mathematics: Instruments and machines: Electronic computers. Computer science.
Authors are required to pay an article processing charge to publish in Machine Learning. Earth; refer to the journal's APC page for the current rate. A waiver policy is offered for eligible authors. Articles are released under the CC BY, Publisher's own license license (see other journals using this license).
To date, Machine Learning. Earth has published 38 articles. Articles are minted with DOIs through the prefix 10.1088. All submissions undergo plagiarism screening before peer review.
Keywords
machine learning, artificial intelligence, climate and weather forecasting, environmental monitoring, natural hazard prediction, geospatial data science
At a glance
- Publisher
- IOP Publishing
- Country
- United Kingdom
- Primary language
- English
- License
- CC BY, Publisher's own license
- Peer review
- Anonymous peer review, Double anonymous peer review
- OA since
- 2025
- Review time
- 19 weeks
- DOI prefix
10.1088- Plagiarism check
- Yes
ISSN
- electronic
- 3049-4753
Frequently asked questions
Is Machine Learning. Earth peer-reviewed?
Does Machine Learning. Earth charge an article processing charge (APC)?
What subjects does Machine Learning. Earth publish?
What languages does Machine Learning. Earth accept?
What is the ISSN of Machine Learning. Earth?
3049-4753 (electronic).