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Special Issue "Seawater Bio-Optical Characteristics from Satellite Ocean Color Data II"

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

Deadline for manuscript submissions: 31 July 2023 | Viewed by 1559

Special Issue Editor

Shirshov Institute of Oceanology, Russian Academy of Sciences, 117997 Moscow, Russia
Interests: ocean optics; satellite ocean color; seawater fluorescence; absorption coefficient; dissolved organic matter; chlorophyll; arctic seas; surface layer
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Satellite ocean color data make it possible to track changes in the state of marine ecosystems effectively and quickly. The values of seawater bio-optical characteristics, obtained as a result of processing these data, depend on the quantitative and qualitative composition of the dissolved and suspended matter. This composition is extremely variable and diverse: suspended particles carried into the sea by rivers and wind, colored organic matter, phytoplankton, bacteria and detritus. The content and variability of these seawater components, obtained from the satellite ocean color data, allow us to quickly assess the state of the ecosystem and monitor water areas on a wide spatial and temporal scale.

This Special Issue is a continuation of the first part, which was successfully completed in November 2022. It also aims at presenting the results of studies on seawater bio-optical characteristics from satellite ocean color data. An important section in this area is the development and improvement of regional satellite algorithms that take into account the characteristics of specific water areas and allow us to obtain more accurate values of bio-optical characteristics compared to standard algorithms.

The authors consider various aspects of the seawater bio-optical properties: spectral, angular, and polarization characteristics, relation to the absolute content and composition of the seawater optically active components, the inverse problems, the spatial and temporal variability of the characteristics, including both the inherent and apparent ones (for example, the diffuse attenuation coefficient). The modeling and measured results are welcomed; the presentation of new ideas and their realization, particularly applications for the investigation and monitoring of the ocean and seas are encouraged. The particular topics of interest include, but are not limited with:

  • Development and application of regional algorithms for retrieval of the seawater bio-optical characteristics from satellite ocean color data;
  • Results of processing, analysis and application of the data from the multisensor data sets;
  • Modeling of the seawater bio-optical characteristics and their components;
  • Inverse problems in application to the bio-optical characteristics of seawater
  • Bio-optical characteristics of the arctic waters;
  • Variability of the seawater optical characteristics depending on the hydro-physical processes.

Original papers and thematic reviews are accepted.

Dr. Dmitry Glukhovets
Guest Editor

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 2500 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

  • seawater bio-optical characteristics
  • satellite ocean color data
  • regional algorithms
  • multi-sensor data sets
  • new approaches, methods and algorithms
  • new data on variability including polar regions

Published Papers (2 papers)

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Research

Article
Regional Algorithm for Estimating High Coccolithophore Concentration in the Northeastern Part of the Black Sea
Remote Sens. 2023, 15(9), 2219; https://doi.org/10.3390/rs15092219 - 22 Apr 2023
Cited by 1 | Viewed by 409
Abstract
A modified regional algorithm to quantify the coccolithophore concentration in the northeastern part of the Black Sea under conditions of intense bloom is presented. To modify the algorithm, the data of in situ measurements of coccolithophore Emiliania huxleyi abundance performed in June 2017 [...] Read more.
A modified regional algorithm to quantify the coccolithophore concentration in the northeastern part of the Black Sea under conditions of intense bloom is presented. To modify the algorithm, the data of in situ measurements of coccolithophore Emiliania huxleyi abundance performed in June 2017 and 2022 (when the maximum values were 9 × 106 and 13 × 106 Cells L−1, respectively), as well as the data from hydro-optical and satellite measurements, were used. In addition, the ratio between the number of detached coccoliths and coccolithophore cells was taken into account. Based on the expanded array of in situ data, the optimal values of the regional algorithm parameters were obtained. The modified algorithm makes it possible to obtain more accurate results in areas of high coccolithophore concentrations and takes into account the contribution of coccoliths. To test the sensitivity of the algorithm to variations in bio-optical characteristics, model calculations were performed using Hydrolight software. The updated algorithm is significantly less sensitive to variations in chlorophyll concentration and CDOM absorption coefficient than its previous version. Full article
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Article
Parameterization of Light Absorption of Phytoplankton, Non-Algal Particles and Coloured Dissolved Organic Matter in the Atlantic Region of the Southern Ocean (Austral Summer of 2020)
Remote Sens. 2023, 15(3), 634; https://doi.org/10.3390/rs15030634 - 20 Jan 2023
Cited by 1 | Viewed by 807
Abstract
Climate affects the characteristics of the Southern Ocean ecosystem, including bio-optical properties. Remote sensing is a suitable approach for monitoring a rapidly changing ecosystem. Correct remote assessment can be implemented based on a regional satellite algorithm, which requires parameterization of light absorption by [...] Read more.
Climate affects the characteristics of the Southern Ocean ecosystem, including bio-optical properties. Remote sensing is a suitable approach for monitoring a rapidly changing ecosystem. Correct remote assessment can be implemented based on a regional satellite algorithm, which requires parameterization of light absorption by all optically active components. The aim of this study is to analyse variability in total chlorophyll a concentration (TChl-a), light absorption by phytoplankton, non-algal particles (NAP), coloured dissolved organic matter (CDOM), and coloured detrital matter (CDM = CDOM+NAP), to parameterize absorption by all components. Bio-optical properties were measured in the austral summer of 2020 according to NASA Protocols (2018). High variability (1–2 orders of magnitude) in TChl-a, absorption of phytoplankton, NAP, CDOM, and CDM was revealed. High variability in both CDOM absorption (uncorrelated with TChl-a) and CDOM share in total non-water absorption, resulting in a shift from phytoplankton to CDOM dominance, caused approximately twofold chlorophyll underestimation by global bio-optical algorithms. The light absorption of phytoplankton (for the visible domain in 1 nm steps), NAP, CDOM, and CDM were parametrized. Relationships between the spectral slope coefficient (SCDOM/SCDM) and CDOM (CDM) absorption were revealed. These results can be useful for the development of regional algorithms for Chl-a, CDM, and CDOM monitoring in the Southern Ocean. Full article
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