Recent Advances in Sea Ice Research Using Satellite Data (Second Edition)
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ocean Remote Sensing".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 1562
Special Issue Editors
Interests: computer vision; image segmentation/classification; remote sensing; stochastic models; sea ice
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; synthetic aperture radar; ocean remote sensing; image processing; machine learnig; computer vision
Special Issues, Collections and Topics in MDPI journals
Interests: GNSS-R remote sensing; sea ice sensing; soil moisture retrieval; land cover mapping
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; synthetic aperture radar; sea ice
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Due to the overwhelming support and interest in the previous Special Issue, we are introducing a second edition regarding “Recent Advances in Sea Ice Research Using Satellite Data
I would like to thank all the authors and co-authors who made contributions to the successful first edition of this Special Issue and look forward to more experts' innovative contributions.
Given the escalating concerns surrounding global warming, understanding the swift transformations in sea ice across the Arctic and Antarctic Oceans holds paramount significance, particularly with regard to gaining new insights into the intricate relationship between the atmosphere, ocean, and Earth, as well as the emergence and implications of Arctic shipping routes.
The progressive utilization of remotely sensed data from satellites has played a pivotal role in advancing our comprehension of sea ice dynamics. Satellite-based observations have provided valuable insights into the characteristics and changes in sea ice cover, thickness, and concentration.
In this Special Issue, we aim to showcase the recent strides made in sea ice research, with an emphasis on cutting-edge, AI-based sea ice mapping methods, novel satellite sea ice datasets, and innovative processing techniques for satellite sensor data.
We wholeheartedly appreciate your consideration in submitting your manuscripts to this Special Issue on sea ice research using satellite data. We also kindly request your assistance in sharing this announcement with your esteemed colleagues, encouraging them to contribute their expertise to this important field of study.
Together, let us propel the advancements in sea ice research forward and contribute to a better understanding of the changing cryosphere and its implications for Earth’s system.
Dr. Linlin Xu
Dr. Xinwei Chen
Dr. Qingyun Yan
Dr. Juha Karvonen
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 100 words) can be sent to the Editorial Office for announcement on this website.
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. Remote Sensing 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 2700 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
- sea ice cover
- satellite observations
- AI-based Methods
- sea ice parameters
- remote sensing techniques
- computer vision
- deep learning
- SAR
- image segmentation/classification
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Related Special Issue
- Recent Advances in Sea Ice Research Using Satellite Data in Remote Sensing (11 articles)
