Remote Sensing of Plastic Pollution
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 62740
Special Issue Editors
Interests: applied remote sensing; digital image processing and classification; imaging spectroscopy; spectroscopy of synthetic polymers; geomatics and GIS; remote sensing of vegetation; water and urban areas; microplastic pollution of the environment
Interests: hyperspectral remote sensing; sea surface optical properties; air-sea interactions; atmospheric correction of ocean color imagery
Special Issues, Collections and Topics in MDPI journals
Interests: environmental monitoring; geospatial data-driven decision support; identifying and tracking plastic debris; satellite data time series; spectrometry
Interests: ocean surface remote sensing; water quality; marine renewable energy; air-sea gas exchange
Interests: optical remote sensing; imaging spectroscopy; methodological developments for hyperspectral and multispectral data of environmental topics such as the detection of plastics; VIS/NIR/SWIR spectroscopy; spatial and spectral modeling of reflectance and radiance signals; geomatics and GIS
Interests: applied remote sensing; Synthetic Aperture Radar processing (SAR) and SAR altimetry; artificial intelligence for Earth science; climate diagnostics and prediction; Earth observation for hydrology and oceanography; extreme events and ocean plastic pollution
Special Issue Information
Dear Colleagues,
The problems that plastic litter causes in the environment are manifold, as are the disciplines conducting research on it. What is the contribution that remote sensing can make? This Special Issue calls for papers presenting both first success stories as well as clear indications (based on simulations, measurements or fundamental knowledge) of what is technically not (yet) possible by means of remote sensing, in order to form a clearer picture of the contribution remote sensing can provide now and in the future.
Papers may present results from measurements (lab, field), simulations and modeling, as well as remote sensing data analysis across all scales (local to global) and platforms (e.g., vessel-based, UAV-based, airborne or spaceborne) using any types of sensors (e.g., optical or radar). Due to the ubiquitous nature of the problem, studies in any type of environment (e.g., aquatic, terrestrial, urban) are welcome, and any object sizes from micro- to mega-plastics may be studied.
Dr. Mathias Bochow
Prof. Heidi M. Dierssen
Dr. Jonas Franke
Dr. Lonneke Goddijn-Murphy
Dr. Theres Kuester
Ms. Laia Romero
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
- remote sensing
- plastic pollution
- plastic litter
- microplastics
- macroplastics
- mapping
- monitoring
- oceans
- rivers
- beaches
- terrestrial environment
- sources
- sinks
- pathways
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