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Remote Sensing
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Remote Sensing of Ocean Primary Production
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Remote Sensing of Ocean Primary Production

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

Deadline for manuscript submissions: closed (28 February 2021) | Viewed by 15633

Special Issue Editors

Dr. Gabriel Navarro

E-Mail Website
Guest Editor
CSIC—Instituto de Ciencias Marinas de Andalucía (ICMAN), Department of Ecology and Coastal Management, 11510 Cadiz, Spain
Interests: remote sensing; biogeochemical cycles and primary production; sensors and marine technology
Dr. Emma Huertas

E-Mail Website
Guest Editor
CSIC - Instituto de Ciencias Marinas de Andalucía (ICMAN), Department of Ecology and Coastal Management, 11510 Cadiz, Spain
Interests: marine biogeochemistry; phytoplankton productivity; greenhouse gases
Dr. Milton Kampel

E-Mail Website
Guest Editor
Instituto Nacional de Pesquisas Espaciais, Avenida dos Astronautas 1758, São José dos Campos, SP 12227-010, Brazil
Interests: remote sensing; marine optics; climate change
Dr. Diego Macías

E-Mail Website
Guest Editor
Joint Research Centre, European Commission, 21027 Ispra, Varese, Italy
Interests: marine primary production, biogeochemical modelling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Ocean primary production is the rate of synthesis of organic matter by marine phytoplankton through the process of photosynthesis, and determines the energy flow through the trophic chain in the global ocean. Over the last decades, sensors on-board satellite platforms have allowed remote sampling of the ocean surface at synoptic temporal and spatial scales, offering a cost-effective approach to studying the ocean’s primary production and its relationship with biogeochemical cycles. More than twenty models of marine primary production have been developed that are run solely using remotely-sensed data. Within this framework, the editors of this Special Issue would like to invite both applied and theoretical research contributions on marine bio-optics dealing with new algorithms, innovative applications for coastal and offshore waters and the calibration/validation of retrievals based on independent measurements/modelling simulations. The main purpose is to gather scientists/researchers related to these topics, highlight ongoing investigations and new applications in the field. Therefore, potential topics for original research papers and review articles on applications of remote sensing to ocean primary production include, but are not limited to:

  • Monitoring of ocean primary production
  • Changes/trends/shifts in ocean primary production observations
  • Primary production algorithm development, validation and calibration
  • Modelling the primary production in marine environments
  • Primary production in coastal areas
  • Forecasting ocean primary production
  • Remotely-sensed PFT and marine primary production
  • Comparison of remote-sensing ocean primary production estimates and biogeochemical model simulations
Dr. Gabriel Navarro
Dr. Emma Huertas
Dr. Milton Kampel
Dr. Diego Macías
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

  • ocean primary production
  • satellite remote sensing
  • ocean color
  • bio-optics
  • phytoplankton community composition
  • primary production algorithms
  • aquatic biogeochemistry
  • in-situ validation
  • model simulation of primary production

Published Papers (4 papers)

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16 pages, 1598 KiB  
Article
Variability of Net Primary Productivity and Associated Biophysical Drivers in Bahía de La Paz (Mexico)
by Rafael Cervantes-Duarte, Eduardo González-Rodríguez, René Funes-Rodríguez, Alejandro Ramos-Rodríguez , María Yesenia Torres-Hernández and Fernando Aguirre-Bahena
Remote Sens. 2021, 13(9), 1644; https://doi.org/10.3390/rs13091644 - 23 Apr 2021
Cited by 7 | Viewed by 2330
Abstract
The use of information of net primary productivity (NPP) from remote ocean color sensors is increasingly common in marine sciences. The resulting information has been used to explain variations in productivity at different spatio-temporal scales and in the presence of climate phenomena, such [...] Read more.
The use of information of net primary productivity (NPP) from remote ocean color sensors is increasingly common in marine sciences. The resulting information has been used to explain variations in productivity at different spatio-temporal scales and in the presence of climate phenomena, such as the El Niño Southern Oscillation, and global warming. Satellite remote sensing data were analyzed in Bahía de La Paz (BLP), Mexico, to determine the spatio-temporal variation in NPP. In addition, in situ hydrographic data were obtained to characterize the water properties in the bay. The satellite data agree with in situ measurements, validating the satellite observations over this region. The NPP generally presented seasonal variation with maximum values in winter-spring and minimum values in summer–autumn. The variance explained by NPP from the measured variables was ranked as Chl-a < DEN < SST < PAR < WSC. The highest NPP values generally occurred when subtropical subsurface (SsStW) water was relatively shallow. Due to divergence and mixing processes, this water provided nutrients to the euphotic zone, and consequently an increase in NPP and changes in plankton biomass were observed. The annual trends of the variation in hydrographic data with respect to that of remote sensing data were similar; however, it is necessary to increase the number of data validation studies. The remote sensing and in situ measurements allowed for the main biophysical variables that modulate NPP in different time scales to be identified. The satellite-derived NPP data classifies the BLP as a high productivity zone with 432 g C m−2 year−1. The use of satellite NPP data is satisfactory and should be incorporated into marine primary productivity studies. Full article
(This article belongs to the Special Issue Remote Sensing of Ocean Primary Production)
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24 pages, 16062 KiB  
Article
Chlorophyll a Concentration Distribution on the Mainland Coast of the Gulf of California, Mexico
by Carlos Manuel Robles-Tamayo, Ricardo García-Morales, José Eduardo Valdez-Holguín, Gudelia Figueroa-Preciado, Hugo Herrera-Cervantes, Juana López-Martínez and Luis Fernando Enríquez-Ocaña
Remote Sens. 2020, 12(8), 1335; https://doi.org/10.3390/rs12081335 - 23 Apr 2020
Cited by 12 | Viewed by 3818
Abstract
Coastal zones are important areas for the development of diverse ecosystems. The analysis of chlorophyll a (Chl a), as an indicator of primary production in these regions, is crucial for the quantification of phytoplankton biomass, which is considered the main food chain [...] Read more.
Coastal zones are important areas for the development of diverse ecosystems. The analysis of chlorophyll a (Chl a), as an indicator of primary production in these regions, is crucial for the quantification of phytoplankton biomass, which is considered the main food chain base in the oceans and an indicator of the trophic state index. This variable is greatly important for the analysis of the oceanographic variability, and it is crucial for determining the tendencies of change in these areas with the objective of determining the effects on the ecosystem and the population dynamics of marine resources. In this study, we analysed the Chl a concentration distribution on the mainland coast of the Gulf of California based on the monthly data from July 2002 to July 2019, obtained from remote sensing (Moderate-Resolution Imaging Spectroradiometer Aqua (MODIS-Aqua) with a 9 km resolution). The results showed a clear distribution pattern of Chl a observed along this area with the maximum levels in March and minimum levels in August. A four-region characterisation on this area was used to make a comparison of the Chl a concentrations during warm and cold periods. The majority of the results were statistically significant. The spectral analysis in each of the four regions analysed in this study determined the following variation frequencies: annual, semi-annual, seasonal, and inter-annual; the last was related to the macroscale climatological phenomena El Niño-La Niña affecting the variability of the Chl a concentration in the study region. Full article
(This article belongs to the Special Issue Remote Sensing of Ocean Primary Production)
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18 pages, 7192 KiB  
Article
Spatiotemporal Variability of Remote Sensing Ocean Net Primary Production and Major Forcing Factors in the Tropical Eastern Indian and Western Pacific Ocean
by Fanping Kong, Qing Dong, Kunsheng Xiang, Zi Yin, Yanyan Li and Jingyi Liu
Remote Sens. 2019, 11(4), 391; https://doi.org/10.3390/rs11040391 - 15 Feb 2019
Cited by 14 | Viewed by 5038
Abstract
Based on widely used remote sensing ocean net primary production (NPP) datasets, the spatiotemporal variability of NPP is first analyzed over the tropical eastern Indian and western Pacific Ocean for the period 1998–2016 using the conventional empirical orthogonal function (EOF), the lead–lag correlation [...] Read more.
Based on widely used remote sensing ocean net primary production (NPP) datasets, the spatiotemporal variability of NPP is first analyzed over the tropical eastern Indian and western Pacific Ocean for the period 1998–2016 using the conventional empirical orthogonal function (EOF), the lead–lag correlation and the ensemble empirical mode decomposition (EEMD) technique. Barnett and Preisendorfer’s improved Canonical Correlation Analysis (BPCCA) is also applied to derive covariability patterns of NPP with major forcing factors of the chlorophyll a concentration (Chla), sea surface temperature (SST), sea level anomaly (SLA), ocean rainfall (Rain), sea surface wind (Wind), and current (CUR) under climate changes of El Niño–Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD). We find that: (1) The first two seasonal EOF modes capture significant temporal and meridional NPP variability differences, as NPP reaches peaks approximately three months later in the western Pacific Ocean than that of in the eastern Indian Ocean. (2) The second and third interannual EOF modes are closely related with ENSO with a two-month lag and synchronous with IOD, respectively, characterized by southwesterly positive anomaly centers during positive IOD years. (3) NPP presents different varying tendencies and similar multiscale oscillation patterns with interannual and interdecadal cycles of 2~3 years, 5~8 years, and 9~19 years in subregions of the Bay of Bengal, the South China Sea, the southeastern Indian Ocean, and the northwestern Pacific Ocean. (4) The NPP variability is strongly coupled with negative SST, SLA, and Rain anomalies, as well as positive Chla, Wind and CUR anomalies in general during El Niño/positive IOD years. The results reveal the diversity and complexity of large-scale biophysical interactions in the key Indo-Pacific Warm Pool region, which improves our understanding of ocean productivity, ecosystems, and carbon budgets. Full article
(This article belongs to the Special Issue Remote Sensing of Ocean Primary Production)
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10 pages, 11473 KiB  
Letter
Monitoring the Influence of the Mesoscale Ocean Dynamics on Phytoplanktonic Plumes around the Marquesas Islands Using Multi-Satellite Missions
by Angelina Cassianides, Elodie Martinez, Christophe Maes, Xavier Carton and Thomas Gorgues
Remote Sens. 2020, 12(16), 2520; https://doi.org/10.3390/rs12162520 - 05 Aug 2020
Cited by 3 | Viewed by 3142
Abstract
The Marquesas islands are a place of strong phytoplanktonic enhancement, whose original mechanisms have not been explained yet. Several mechanisms such as current−bathymetry interactions or island run-off can fertilize waters in the immediate vicinity or downstream of the islands, allowing phytoplankton enhancement. Here, [...] Read more.
The Marquesas islands are a place of strong phytoplanktonic enhancement, whose original mechanisms have not been explained yet. Several mechanisms such as current−bathymetry interactions or island run-off can fertilize waters in the immediate vicinity or downstream of the islands, allowing phytoplankton enhancement. Here, we took the opportunity of an oceanographic cruise carried out at the end of 2018, to combine in situ and satellite observations to investigate two phytoplanktonic blooms occurring north and south of the archipelago. First, Lagrangian diagnostics show that both chlorophyll-a concentrations (Chl) plumes are advected from the islands. Second, the use of Finite-size Lyaponov Exponent and frontogenesis diagnostics reveal how the Chl plumes are shaped by the passage of a mesoscale cyclonic eddy in the south and by a converging front and finer-scale dynamic activity in the north. Our results based on these observations provide clues to the hypothesis of a fertilization from the islands themselves allowing phytoplankton to thrive. They also highlight the role of advection to disperse and shape the Chl plumes in two regions with contrasting dynamical regimes. Full article
(This article belongs to the Special Issue Remote Sensing of Ocean Primary Production)
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