Advances and Novel Approaches in Remote Sensing of Marine Litter
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 312
Special Issue Editors
Interests: GNSS, navigation and position/orientation; structure-from-motion (SfM) and image processing; drones and UAV; geomatics; photogrammetry; laser scanning 3D; monitoring/change detection; coastal mapping and monitoring; urban and architectural mapping; sensors and applications
Interests: Sediments Coastal Management Rivers Sediment Transport Coastal Geomorphology Climate Change Coastal Processes Coastal Sciences Coastal Research and Management Coastal Engineering
Special Issue Information
Dear Colleagues,
We are inviting articles for submission to a Special Issue of Remote Sensing entitled Advances and Novel Approaches in Remote Sensing of Marine Litter. Marine litter on beaches and in the sea is a critical pollution issue at the moment. In fact, it represents a threat both for human health and for the balance of natural ecosystems. A special effort is certainly required to reduce the production and the release of micro- and macro-plastics into the environment. However, it is also crucial to develop cutting-edge remote sensing methods for the mapping and
monitoring of marine litter washed up on the beach, floating on the sea surface, suspended in the sea, or deposited on the seafloor. Advanced approaches should hence exploit, on the one hand, multi- and hyper-spectral sensors and, on the other hand, small-scale monitoring through satellite imagery and large-scale monitoring from UAV-mounted sensors to develop advanced tools for managing this global threat.
This Special Issue aims to collect research about the detection, mapping, and monitoring of marine litter with advanced techniques and novel approaches based on remote sensing in order to identify areas of litter accumulation, quantify its abundance, qualify its materials, and further understand its origins. Articles may also include themes dealing with the relation between marine litter accumulation and vegetation, geomorphology, and environmental impacts.
All original contributions are welcome. We encourage the submission of every study designed to investigate the potential of innovative methodologies in all these applications.
Dr. Yuri Taddia
Dr. Corinne Corbau
Dr. Alberto Pellegrinelli
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 litter
- micro-plastics
- macro-plastics
- multispectral
- hyperspectral
- pollution
- beach litter
- UAV
- remote sensing
- coastal monitoring
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