Remote Sensing Techniques for the Detection of Marine Phytoplankton
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ocean Remote Sensing".
Deadline for manuscript submissions: 30 April 2025 | Viewed by 24
Special Issue Editors
Interests: ocean remote sensing; marine spatiotemporal data mining; marine environment and climate change
Interests: bio-optical modeling; water quality; optical remote sensing; water quality sensors; fluorescence; climatology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the context of climate change and anthropogenic disturbance bearing on marine ecosystems, phytoplankton is likely to be affected, and its dynamic need to be monitored and understood to predict the direction and intensity of future changes in marine ecosystems. Traditional methods of studying phytoplankton, such as ship-based sampling and laboratory analyses, are often limited in spatial coverage and temporal resolution. In contrast, remote sensing offers powerful tools to monitor phytoplankton dynamics across vast oceanic expanses.
Remote sensing techniques leverage the interaction between phytoplankton and electromagnetic radiation, enabling scientists to detect and quantify phytoplankton biomass, species composition, and spatial variability from space, aircraft, or autonomous platforms. These techniques provide valuable insights into phytoplankton biomass and community structures, and their responses to environmental drivers such as nutrient availability and climate change.
This Special Issue aims to explore the latest advancements, methodologies, and applications of remote sensing technologies for detecting and studying marine phytoplankton.
Articles may address, but are not limited, to the following themes:
- Remote Sensing Platforms and Sensors: Overview of satellite-based, airborne, and autonomous platforms used for phytoplankton detection.
- Algorithm Development and Data Processing: Advances in algorithms for processing remote sensing data to retrieve phytoplankton information.
- Phytoplankton Biomass and Productivity: Applications of remote sensing in estimating phytoplankton biomass, chlorophyll-a concentrations, primary production rates, and size structure.
- Phytoplankton Community: Assessment of remote sensing capabilities for identifying phytoplankton species composition and biodiversity.
- Temporal and Spatial Dynamics: Exploration of temporal and spatial variability in phytoplankton, and responses to environmental variability and climate change.
- Emerging Technologies and Future Directions: Perspectives on emerging remote sensing technologies and future directions in phytoplankton remote sensing.
Dr. Yueqi Wang
Dr. Igor Ogashawara
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 sensors and platforms
- remote sensing algorithms
- phytoplankton biomass
- phytoplankton size structure
- phytoplankton species composition
- spatial and temporal dynamics
- climate change impacts
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