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Oceanographic Lidar in the Study of Marine Systems

This special issue belongs to the section “Environmental Remote Sensing“.

Special Issue Information

Dear Colleagues,

In recent decades, passive ocean color observations have expanded and refined our understanding of global plankton ecosystems. However, passive measurements are sensitive to only the very near-surface layer, providing no information on vertical structure. Specifically, the measured property is a weighted–integrated value over a relatively shallow depth, it provides no information during the night, and retrievals are compromised by clouds, absorbing aerosols, and low sun zenith angles. Additionally, the traditional way to detect the vertical structure is mainly through shipboard discrete observations or Bio-Argos, which require considerable time to cover a limited area. These limitations can be addressed by active LiDAR technology. Active LiDAR measurements could provide depth-resolved values of ocean phytoplankton properties both during daytime and nighttime. With new vertically resolved and diurnal continuous measurements, LiDAR can provide new insights into seawater bio-optical vertical structure, which will enhance our understanding of biogeochemical processes.

This Special Issue aims to bring some of the leading scholars in the fields of LiDAR remote sensing, ocean optics, and marine biochemists to describe current and new active or passive remote sensing technologies (in situ, ship-based, airborne, and satellite), and collect the recent achievements of active and passive ocean optical remote sensing in recent years.

This Special Issue welcomes:

  • History or review of oceanographic LiDAR;
  • Multiple scattering LiDAR signal simulation;
  • Development of new algorithms of oceanographic LiDAR remote sensing;
  • Evaluation of oceanographic LiDAR inversion algorithms;
  • Applications of LiDAR techniques to retrieve profiles of biogeochemical parameters;
  • Applications of LiDAR techniques for plankton diurnal variation;
  • Mie scattering LiDAR;
  • HSRL LiDAR;
  • Fluorescence LiDAR;
  • Raman scattering LiDAR;
  • Imaging LiDAR;
  • Photon-counting LiDAR;
  • Brillouin scattering LiDAR;
  • LiDAR remote sensing of aerosol or winds above ocean;
  • LiDAR bathymetry;
  • Synergy of active and passive remote sensing;
  • Ground-based, ship-based, airborne, and space-borne LiDAR (CALIPO, ICEsat2, etc.);
  • Potential of new space-borne ocean LiDAR;
  • Any other issues related to remote sensing of seawater vertical structure (glider or bio-Argo, etc.) in the context of LiDAR measurements.

Dr. Peng Chen
Dr. Cédric Jamet
Prof. Dr. Junwu Tang
Dr. Martin A. Montes
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 250 words) can be sent to the Editorial Office for assessment.

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

  • LiDAR
  • remote sensing
  • ocean optics
  • ocean ecology
  • ocean color
  • development, validation and calibration of ocean LiDAR algorithms
  • aerosol–ocean interactions.

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Remote Sens. - ISSN 2072-4292