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Special Issue "Ocean Observation Using Lidar"

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

Deadline for manuscript submissions: 31 October 2023 | Viewed by 1796

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Dear Colleagues,

Space-based lidar instruments can provide important measurements of ocean ecosystems that both complement passive ocean color observations and address some of the limitations of this latter traditional technology. Recent studies indicate that water optical properties can be obtained from space-based lidars: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) aboard the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite (NASA-CNES, launched in April 2006), the Advanced Topographic Laser Altimeter System (ATLAS) onboard the Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) satellite (NASA, launched in September, 2018), the Atmospheric Laser Doppler Instrument (ALADIN) high-spectral resolution lidar (HSRL) onboard Atmospheric Dynamics Mission-Aeolus (ADM-Aeolus) satellite (ESA, launched in August 2018).

This Special Issue aims to present a collection of original research articles and review papers on Lidar technologies and applications related to the characterization of water optical properties, e.g., backscattering and attenuation coefficients, particulate backscattering coefficient, chlorophyll-a concentrations, etc., and bottom characteristics, e.g., bathymetry, seafloor changes due to disasters, coral bleaching, etc. Topics of interest include, but are not limited to:

Lidar inversions and machine learning;
Lidar simulators of spaceborne oceanic lidar;
High Spectral Resolution Lidar;
Multispectral and multi-angular spaceborne Lidar applications;
Hyperspectral fluorescence Lidar;
Global Ocean phytoplankton studies;
Bathymetry;
Ocean trash detection;
Innovative Lidar validation approaches.

Dr. Xiaomei Lu
Dr. Davide Dionisi
Guest Editors

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Keywords

Lidar
backscatter
ocean phytoplankton
bathymetry

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Research

Open AccessArticle

A New Semi-Analytical MC Model for Oceanic LIDAR Inelastic Signals

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Remote Sens. 2023, 15(3), 684; https://doi.org/10.3390/rs15030684 - 24 Jan 2023

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Abstract

The design and processing algorithm of oceanic LIDAR requires an effective lidar simulator. Currently, most simulation methods for lidar signal propagation in seawater use elastic scattering. In this study, a new semi-analytical Monte Carlo (MC) model for oceanic lidar inelastic signals is developed to investigate chlorophyll fluorescence and Raman scattering in seawater. We also used this model to simulate the echo signal of high spectral resolution lidar (HSRL) in the particulate and water molecular channels. Using this model, the effects of chlorophyll concentration, multiple scattering, receiving field of view (FOV), scattering phase function (SPF), receiver full width at half maximum (FWHM) and inhomogeneous seawater were investigated. The feasibility and effectiveness of the model were verified by the lidar equation under small and large FOVs. The results showed that chlorophyll concentration and vertical structure and multiple scattering have considerable and integrated effects on echo signals, which could provide a reference for the design of oceanic fluorescence and HSRL lidar systems and contribute to the development of processing algorithms. Full article

(This article belongs to the Special Issue Ocean Observation Using Lidar)

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Open AccessArticle

Inversion of Deflection of the Vertical in the South China Sea Using ICESat-2 Sea Surface Height Data

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Remote Sens. 2023, 15(1), 30; https://doi.org/10.3390/rs15010030 - 21 Dec 2022

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Abstract

The traditional altimetry satellites based on pulse-limited radar altimeter only calculate along-track deflection of the vertical (DOV), which results in poorer precision of the prime vertical component than that of the meridian component and limits the precision of the marine gravity field inversion. We expect an improvement in the higher precision prime vertical component using the Ice, Cloud and land Elevation Satellite 2 (ICESat-2) sea surface height (SSH) data. In this paper, the 2′ × 2′ gridded DOVs derived from along-beam DOVs, cross-beam DOVs, and joint along-cross beam DOVs in the South China Sea (SCS; 0°–23°N, 103°–120°E) are calculated with the weighted least squares method, respectively. The inverse Vening–Meinesz (IVM) formula is applied to derive 2′ × 2′ gravity anomalies over the SCS from ICESat-2-derived gridded DOVs. In addition, the XGM2019e_2159-DOV and SIO V31.1-DOV models are used to assess the precision of the gridded DOVs. The XGM2019e_2159-GRA, SIO V31.1-GRA models, and ship-borne gravity anomalies are also adopted to evaluate the quality of gravity anomalies. The results show that the gridded DOVs calculated by the joint along-cross beam DOVs have the highest precision among the three gridded DOVs determined by ICESat-2. The precision of difference between gravity anomalies derived from the joint along-cross beam DOV and the above verification data are higher than those derived from the along-beam and cross-beam DOVs. We conclude that the joint along-cross beam DOV can effectively improve the precision of the gridded DOV, which is conducive to the inversion of a high-precision marine gravity field. Full article

(This article belongs to the Special Issue Ocean Observation Using Lidar)

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