E-Mail Alert

Add your e-mail address to receive forthcoming issues of this journal:

Journal Browser

Journal Browser

Special Issue "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: 31 July 2019

Special Issue Editors

Guest Editor
Dr. Gabriel Navarro

CSIC - Instituto de Ciencias Marinas de Andalucía (ICMAN), Department of Ecology and Coastal Management, 11510 Cadiz, Spain
Website | E-Mail
Interests: Remote Sensing; Biogeochemical cycles and primary production; Sensors and marine technology
Guest Editor
Dr. Emma Huertas

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

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

Joint Research Centre, European Commission, 21027, Ispra, Varese, Italy
Website | E-Mail
Interests: marine primary production, biogeochemical modelling

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 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 1800 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 (1 paper)

View options order results:
result details:
Displaying articles 1-1
Export citation of selected articles as:

Research

Open AccessArticle Spatiotemporal Variability of Remote Sensing Ocean Net Primary Production and Major Forcing Factors in the Tropical Eastern Indian and Western Pacific Ocean
Remote Sens. 2019, 11(4), 391; https://doi.org/10.3390/rs11040391
Received: 29 December 2018 / Revised: 1 February 2019 / Accepted: 12 February 2019 / Published: 15 February 2019
PDF Full-text (7192 KB) | HTML Full-text | XML Full-text
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)
Figures

Graphical abstract

Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top