Special Issue "Remote Sensing Monitoring of Ocean and Coastal Biogeochemistry"

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ocean Remote Sensing".

Deadline for manuscript submissions: 31 January 2022.

Special Issue Editors

Dr. Hae-Cheol Kim
E-Mail Website
Guest Editor
University Corporation for Atmospheric Research at NOAA/GFDL, Princeton University Forrestal Campus, 201 Forrestal Road, Princeton, NJ 08540, USA
Interests: ocean color; primary productivity of benthic, coastal and oceanic waters; biogeochemically-physically coupled modelling; bio-optics; ecological modeling and forecasting; data assimilation
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Dr. SeungHyun Son
E-Mail Website
Guest Editor
Colorado State University, Cooperative Institute for Research in the Atmosphere at NOAA/NESDIS/STAR, NCWCP building, 5830 University Research Court, College Park, MD 20740, USA
Interests: remote sensing; ocean color; bio-optical algorithms; water quality; phytoplankton productivity; human-/climate-induced changes in marine ecosystems
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Dr. Veronica P. Lance
E-Mail Website
Guest Editor
NOAA Coast Watch/Ocean Watch/Polar Watch, NCWCP building, 5830 University Research Court, College Park, MD 20740, USA
Interests: primary productivity; ocean biogeochemistry; ocean satellite remote sensing; ocean color remote sensing; applications for remote sensing data; user training
Dr. Paul M. DiGiacomo
E-Mail Website
Guest Editor
NOAA/NESDIS Center for Satellite Applications and Research (STAR), Chief, Satellite Oceanography and Climatology Division (SOCD), Co-Chair, GEO Blue Planet Initiative, NCWCP Building, 5830 University Research Court, College Park, MD 20740, USA
Interests: marine ecosystem dynamics and biogeochemical cycles; multisensor remote sensing of inland, coastal, and oceanic waters; development and implementation of global and coastal ocean observing networks; linking coastal/ocean data providers and users for research, applications, and management
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Accurate predictions of physical/biogeochemical states of marine environments will allow for a wide variety of applications in various time scales, from subseasonal to decadal. Some examples can include real-time monitoring of environmental stressors, seasonal migration of fish stock, larval transport, long-term ecological regime-shift of marine resources, and climate-driven and/or anthropogenic air–sea carbon dioxide dynamics. Such predictions will facilitate the coastal environment management, fishing industry, and fisheries management in establishing more realistic policies and better decision-making. However, due to the spatiotemporal limitations in observations, understanding regional and global marine environmental states has been a challenging task. 

Ocean satellite instruments provide timely observations of important marine environmental properties, such as sea surface temperature, sea surface salinity, sea surface height, sea surface winds, sea ice coverage, as well as ocean color. While ocean satellite observations are limited to 2-dimensional surface fields with limited temporal resolutions, they are complementary to those observations from other measurement platforms (e.g., ships, buoys, floats, gliders, drones) given their broader spatial coverage (regional to global), frequent repeats (minutes to days), and time-series looks ranging from synoptic to long-term (multiple satellite mission time scales from years to decades). Remotely-sensed ocean color (e.g., chlorophyll-a concentration and the diffuse attenuation coefficients at 490 nm (Kd(490)) and for photosynthetically available radiation (KdPAR)) is frequently used for deriving up-to-date, biogeochemically-relevant information such as phytoplankton biomass and estimates of primary productivity which are, in turn, important in understanding marine food webs, nutrient and carbon cycling, ecological conditions, etc. Much effort has been made to advance sensing technologies and data processing in marine ecology and biogeochemistry, and their applications are expanding to more diverse properties, other than chlorophyll. Thus, remote sensing has been playing a pivotal role in interdisciplinary oceanographic progress, and it is also through these satellite products from multiple platforms equipped with various ocean-observing sensors that we can provide a foundational path for emerging technologies, such as artificial intelligence with big data and data assimilative physical/biogeochemical modeling in support of the end-users’ strategic objectives.

In this Special Issue, we are seeking contributions concerning, but not limited to, applications of remote-sensing data/techniques combined with other approaches to better monitor and/or understand coastal and oceanic marine biogeochemical processes. Especially manuscripts using novel statistical techniques or deterministic approaches with satellite products to derive or map secondary biogeochemical properties of interests are welcome.

Dr. Hae-Cheol Kim
Dr. Seunghyun Son
Dr. Veronica P. Lance
Dr. Paul M. DiGiacomo
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 papers will be 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 2400 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

  • Ocean color and coastal and oceanic biogeochemistry
  • Ocean color and coastal and oceanic primary productivity
  • Ocean color and regional biogeochemical processes
  • Ocean color and climate processes
  • Ocean color and data assimilation
  • Ocean color and coastal water quality management
  • Ocean color and marine living resources
  • Ocean color and decision supporting tools

Published Papers (2 papers)

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Research

Article
Assessing the Skills of a Seasonal Forecast of Chlorophyll in the Global Pelagic Oceans
Remote Sens. 2021, 13(6), 1051; https://doi.org/10.3390/rs13061051 - 10 Mar 2021
Viewed by 479
Abstract
While forecasts of atmospheric variables, and to a lesser degree ocean circulation, are relatively common, the forecast of biogeochemical conditions is still in its infancy. Using a dynamical ocean biogeochemical forecast forced by seasonal forecasts of atmospheric and physical ocean variables, we produce [...] Read more.
While forecasts of atmospheric variables, and to a lesser degree ocean circulation, are relatively common, the forecast of biogeochemical conditions is still in its infancy. Using a dynamical ocean biogeochemical forecast forced by seasonal forecasts of atmospheric and physical ocean variables, we produce seasonal predictions of chlorophyll concentration at the global scale. Results show significant Anomaly Correlation Coefficients (ACCs) for the majority of regions (11 out of the 12 regions for the 1-month lead forecast). Root mean square errors are smaller (<0.05 µg chlorophyll (chl) L−1) in the Equatorial regions compared to the higher latitudes (range from 0.05 up to 0.13 µg chl L−1). The forecast for all regions except three (North Atlantic, South Pacific and North Indian) are within the Semi-Interquartile Range of the satellite chlorophyll concentration (Suomi-National Polar-orbiting Partnership (NPP), 27.9%). This suggests the potential for skillful global biogeochemical forecasts on seasonal timescales of chlorophyll, primary production and harmful algal blooms that could support fisheries management and other applications. Full article
(This article belongs to the Special Issue Remote Sensing Monitoring of Ocean and Coastal Biogeochemistry)
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Article
Assessing Phytoplankton Bloom Phenology in Upwelling-Influenced Regions Using Ocean Color Remote Sensing
Remote Sens. 2021, 13(4), 675; https://doi.org/10.3390/rs13040675 - 13 Feb 2021
Viewed by 996
Abstract
Phytoplankton bloom phenology studies are fundamental for the understanding of marine ecosystems. Mismatches between fish spawning and plankton peak biomass will become more frequent with climate change, highlighting the need for thorough phenology studies in coastal areas. This study was the first to [...] Read more.
Phytoplankton bloom phenology studies are fundamental for the understanding of marine ecosystems. Mismatches between fish spawning and plankton peak biomass will become more frequent with climate change, highlighting the need for thorough phenology studies in coastal areas. This study was the first to assess phytoplankton bloom phenology in the Western Iberian Coast (WIC), a complex coastal region in SW Europe, using a multisensor long-term ocean color remote sensing dataset with daily resolution. Using surface chlorophyll a (chl-a) and biogeophysical datasets, five phenoregions (i.e., areas with coherent phenology patterns) were defined. Oceanic phytoplankton communities were seen to form long, low-biomass spring blooms, mainly influenced by atmospheric phenomena and water column conditions. Blooms in northern waters are more akin to the classical spring bloom, while blooms in southern waters typically initiate in late autumn and terminate in late spring. Coastal phytoplankton are characterized by short, high-biomass, highly heterogeneous blooms, as nutrients, sea surface height, and horizontal water transport are essential in shaping phenology. Wind-driven upwelling and riverine input were major factors influencing bloom phenology in the coastal areas. This work is expected to contribute to the management of the WIC and other upwelling systems, particularly under the threat of climate change. Full article
(This article belongs to the Special Issue Remote Sensing Monitoring of Ocean and Coastal Biogeochemistry)
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