Advances on Remote Sensing, Modeling, and Trajectory Prediction of Marine Oil Spill
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 20 July 2024 | Viewed by 1170
Special Issue Editors
Interests: SAR; polarimetry; electromagnetic; image processing; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: electromagnetic modeling; SAR; polarimetry; ocean; coastal areas
Special Issues, Collections and Topics in MDPI journals
Interests: SAR; InSAR; PSInSAR; deformation monitoring; oil spill detection; change detection; geohazards
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Oil spill accidents seriously pollute the marine environment, threaten the safety of marine ecosystems and coastal residents, and cause huge economic losses to industries such as marine fisheries, aquaculture, and tourism. Timely and accurate monitoring and early warning of oil spills on the sea can not only ensure the timely and effective disposal of oil spills and effectively reduce the negative impact of accidents, but also provide a basis for charging companies and individuals responsible for oil spill accidents.
The recent development of remote sensing technology provides powerful tools for detecting marine oil spills and retrieving their detailed properties. However, many challenges remain for the diversity of oil film properties, the complicated marine environment, and the affection of marine oil spill look-alikes. Moreover, it is also very important to model and predict the trajectory of marine oil spills for efficient clean-up and damage evaluation.
The main scope of this Special Issue includes, but is not limited to, the detection of marine oil spills by optical and radar platforms, the retrieval of oil spill type and parameters as well as the modeling and prediction of oil spill trajectory and its dispersion. It is hoped that this Special Issue may boost the exchange and interconnection between the recent studies related to marine oil spill remote sensing and eventually contribute to the protection of the marine environment.
Dr. Yu Li
Dr. Andrea Buono
Dr. Qingli Luo
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
- marine oil spill
- SAR
- optical
- remote sensing
- modeling
- prediction
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Dear Colleagues,
Oil spill accidents seriously pollute the marine environment, threaten the safety of marine ecosystems and coastal residents, and cause huge economic losses to industries such as marine fisheries, aquaculture, and tourism. Timely and accurate monitoring and early warning of oil spills on the sea can not only ensure the timely and effective disposal of oil spills and effectively reduce the negative impact of accidents, but also provide a basis for charging companies and individuals responsible for oil spill accidents.
The recent development of remote sensing technology provides powerful tools for detecting marine oil spills and retrieving their detailed properties. However, many challenges remain for the diversity of oil film properties, the complicated marine environment, and the affection of marine oil spill look-alikes. Moreover, it is also very important to model and predict the trajectory of marine oil spills for efficient clean-up and damage evaluation.
The main scope of this Special Issue includes, but is not limited to, the detection of marine oil spills by optical and radar platforms, the retrieval of oil spill type and parameters as well as the modeling and prediction of oil spill trajectory and its dispersion. It is hoped that this Special Issue may boost the exchange and interconnection between the recent studies related to marine oil spill remote sensing and eventually contribute to the protection of the marine environment.
