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Mapping Water Quality in Nearshore Reef Environments Using Airborne Imaging Spectroscopy.

Authors :
Hondula, Kelly L.
König, Marcel
Grunert, Brice K.
Vaughn, Nicholas R.
Martin, Roberta E.
Dai, Jie
Jamalinia, Elahe
Asner, Gregory P.
Source :
Remote Sensing; Jun2024, Vol. 16 Issue 11, p1845, 22p
Publication Year :
2024

Abstract

Coral reefs are threatened globally by compounding stressors of accelerating climate change and deteriorating water quality. Water quality plays a central role in coral reef health. Yet, accurately quantifying water quality at large scales meaningful for monitoring impacts on coral health remains a challenge due to the complex optical conditions typical of shallow water coastal systems. Here, we report the performance of 32 remote sensing water quality models for suspended particulate matter and chlorophyll concentrations as well as colored dissolved organic matter absorption, over concentration ranges relevant for reef ecology using airborne imaging spectroscopy and field measurements across 62 stations in nearshore Hawaiian waters. Models were applied to reflectance spectra processed with a suite of approaches to compensate for glint and other above-water impacts on reflectance spectra. Results showed reliable estimation of particulate matter concentrations (RMSE = 2.74 mg L<superscript>−1</superscript>) and accurate but imprecise estimation of chlorophyll (RMSE = 0.46 μg L<superscript>−1</superscript>) and colored dissolved organic matter (RMSE = 0.03 m<superscript>−1</superscript>). Accurately correcting reflectance spectra to minimize sun and sky glint effects significantly improved model performance. Results here suggest a role for both hyperspectral and multispectral platforms and rapid application of simple algorithms can be useful for nearshore water quality monitoring over coral reefs. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20724292
Volume :
16
Issue :
11
Database :
Complementary Index
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
177851411
Full Text :
https://doi.org/10.3390/rs16111845