Applications of In-Situ Research for Remote Sensing Algorithms in Estuarine and Coastal Waters

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Oceans and Coastal Zones".

Deadline for manuscript submissions: 20 June 2024 | Viewed by 954

Special Issue Editors


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Guest Editor
Physics Department, Gdynia Maritime University, Ul. Morska 81-87, 81-225 Gdynia, Poland
Interests: remote sensing of water bodies; inherent optical properties; radiance transmission in ocean and atmosphere; volume scattering function; absorption coefficient

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Guest Editor
Physics Department, Gdynia Maritime University, Ul. Morska 81-87, 81-225 Gdynia, Poland
Interests: natural surfactant films; surface tension-driven spreading; surface-adsorptive viscoelastic rheology; wettability process energetics; contact angle hysteresis; surface thermodynamics; trophic state indicators; Benard–Marangoni circulation; evaporative temperature gradients

Special Issue Information

Dear Colleagues,

Estuarine and coastal ecosystems are dynamic and complex environments that play a crucial role in the ecological balance of our planet. As these regions undergo rapid changes due to anthropogenic and natural factors, there is an increasing need for advanced monitoring techniques to understand and manage their intricate dynamics. Remote sensing, with its ability to capture large-scale spatial and temporal information, has emerged as a powerful tool in studying estuarine and coastal waters. However, the efficacy of remote sensing algorithms relies heavily on accurate and comprehensive in situ data for calibration and validation.

This Special Issue, entitled “Applications of In-Situ Research for Remote Sensing Algorithms in Estuarine and Coastal Waters”, will address the relationship between surveys performed directly in the aquatic environment and remote sensing methodologies. This collection of articles aims to highlight the key role of in situ data in improving the accuracy and reliability of remote sensing algorithms applied in estuarine and coastal environments.

We invite you to publish the results of in situ studies conducted with a variety of instruments (such as fluorometers, spectrophotometers, turbidity sensors, or acoustic Doppler profilers) that can contribute to improving algorithms for data acquisition from various remote sensing techniques (ocean color sensing, lidar, synthetic aperture radar, multispectral and hyperspectral imaging, thermal imaging, and others).

Prof. Dr. Włodzimierz Freda
Dr. Katarzyna Boniewicz-Szmyt
Guest Editors

Manuscript Submission Information

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Keywords

  • ocean colour sensor
  • lidar
  • synthetic aperture radar
  • multispectral imaging
  • thermal infrared imaging
  • acoustic doppler profilers
  • fluorometers
  • spectrophotometers
  • turbidity sensor
  • image processing algorithm

Published Papers (1 paper)

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Research

16 pages, 6673 KiB  
Article
Correlation between Turbidity and Inherent Optical Properties as an Initial Recognition for Backscattering Coefficient Estimation
by Kamila Haule, Maria Kubacka, Henryk Toczek, Barbara Lednicka, Bogusław Pranszke and Włodzimierz Freda
Water 2024, 16(4), 594; https://0-doi-org.brum.beds.ac.uk/10.3390/w16040594 - 17 Feb 2024
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Abstract
Seawater turbidity is a common water quality indicator measured in situ and estimated from space on a regular basis. However, it is rarely correlated with the inherent optical properties of seawater, which convey information about seawater composition. In this study, we show a [...] Read more.
Seawater turbidity is a common water quality indicator measured in situ and estimated from space on a regular basis. However, it is rarely correlated with the inherent optical properties of seawater, which convey information about seawater composition. In this study, we show a simple application of the turbidimeter’s weighting function in the estimation of the backscattering coefficient of a model inorganic suspension in seawater. First, we introduce a method to measure the instrument’s weighting function which describes the sensor’s angular response in terms of scattering angles. The determination of the sensor-specific weighting function led us to characterize its angular sensitivity to the presence of suspended particles. The highest sensitivity for the Seapoint turbidimeter is in the range of 114°–128° (containing 25% of the total signal). Next, we describe the correlations between turbidity and the scattering and backscattering coefficients on the example of the model of inorganic particle suspension using the calculations based on Mie theory. The correlations are analyzed for narrow size fractions of the particle size distribution of silica in the range of 0.59–190 µm. We established that there is a good linear correlation (characterized by the coefficient of determination r2 = 0.979) between the part of the scattering coefficient measured by the turbidimeter and the backscattering coefficient of all size fractions of the model inorganic suspension. Full article
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