What question did this study set out to answer?

The study aims to quantify correlations between remote sensing reflectance, first derivatives, and various water quality metrics.

July 26, 2026Remote SensingOpen Access

First-Derivative Analysis for Estimating Water Quality and Optical Metrics in Shallow Coastal Waters

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Authors

AKAminah Kaharuddin SFStefan Forster HSHendrik Schubert

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Overview

Randomized trial quantifies correlations between optical metrics and water quality in coastal waters, indicating effective estimation methods for marine health monitoring.

Key Points

The study aims to quantify correlations between remote sensing reflectance, first derivatives, and various water quality metrics.
Data collected from 14 stations along the German Baltic coast during summer 2022 and 2023.
Water quality metrics were estimated using first derivative analysis of remote sensing reflectance.
Signal processing methods, including 10-point moving average smoothing and discrete wavelet transformation, were applied.
Chlorophyll-a and phaeopigments were estimated with R2 of 0.67 and 0.69, respectively, dependent on nutrient enrichment.
Total suspended matter estimation optimized via DWT baseline peak algorithm yielded R2 = 0.17.
Coloured dissolved organic matter and K0(PAR) retrieved at 689 nm and 629 nm showed R2 values of 0.51 and 0.48 respectively.

Cite This Study

Kaharuddin et al. (2026) studied this question.

synapsesocial.com/papers/6a65a5bad3aea3239cd777e8 https://doi.org/10.3390/rs18152441

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July 26, 2026Remote SensingOpen Access

First-Derivative Analysis for Estimating Water Quality and Optical Metrics in Shallow Coastal Waters

View Full Paper

Ask AI

Bookmark

Authors

AKAminah Kaharuddin SFStefan Forster HSHendrik Schubert

Discussion

Member takes

Overview

Randomized trial quantifies correlations between optical metrics and water quality in coastal waters, indicating effective estimation methods for marine health monitoring.

Key Points

The study aims to quantify correlations between remote sensing reflectance, first derivatives, and various water quality metrics.
Data collected from 14 stations along the German Baltic coast during summer 2022 and 2023.
Water quality metrics were estimated using first derivative analysis of remote sensing reflectance.
Signal processing methods, including 10-point moving average smoothing and discrete wavelet transformation, were applied.
Chlorophyll-a and phaeopigments were estimated with R2 of 0.67 and 0.69, respectively, dependent on nutrient enrichment.
Total suspended matter estimation optimized via DWT baseline peak algorithm yielded R2 = 0.17.
Coloured dissolved organic matter and K0(PAR) retrieved at 689 nm and 629 nm showed R2 values of 0.51 and 0.48 respectively.

Cite This Study

Kaharuddin et al. (2026) studied this question.

synapsesocial.com/papers/6a65a5bad3aea3239cd777e8 https://doi.org/10.3390/rs18152441

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