EventsThe 5th International Electronic Conference on Remote Sensing
Published
with-doi10.3390/ECRS2023-16699 (registering DOI)
This submission belongs to the session S3. Remote sensing applications of the event The 5th International Electronic Conference on Remote Sensing
Published date
15 Jan, 2024
Academic Editor
author-avatarRiccardo Buccolieri
Citation
Juan V. Molner, Rebeca Pérez-González, Juan M. Soria, Water transparency in a shallow eutrophic lagoon (La Albufera of Valencia, Spain) using Sentinel-2 images, in Proceedings of The 5th International Electronic Conference on Remote Sensing, 7 November–21 November 2023, MDPI: Basel, Switzerland, doi: 10.3390/ECRS2023-16699
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Water transparency in a shallow eutrophic lagoon (La Albufera of Valencia, Spain) using Sentinel-2 images

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1. Instituto Cavanilles de Biodiversidad y Biología Evolutiva, Universidad de Valencia
Abstract

Water clarity, measured by its transparency and turbidity, is a crucial characteristic for evaluating water quality. Water transparency could be defined as the extinction of light along the water column, conventionally estimated by Secchi disk depth. Remote sensing, particularly using Sentinel-2 imagery, has proven to be a valuable tool for monitoring water transparency in different bodies of water. In this study, a new algorithm was developed to estimate the Secchi disk depth in the Albufera de Valencia, a highly eutrophic coastal lagoon in Spain, using Sentinel-2 mission data. Three optical models (R490/R560, R490/R705, and R560/R705) were assessed for Secchi disk depth estimation. The R560/R705 model exhibited the best results and was selected for algorithm development and validation. The R560/R705 model achieved R2 values of 0.6149 and 0.916 during calibration and validation, respectively, while the other models achieved an R2 of 0.2805 (R490/R705) and 0.0043 (R490/R560). The new algorithm, obtained calibrating R560/R705 model, demonstrated an NRMSE of 17.8% in estimating Secchi disk depth in the Albufera of Valencia, compared to 20.7% for the previous one, indicating a significant improvement in algorithm performance and good accuracy in Secchi disk depth estimation in the Albufera of Valencia. Therefore, the new algorithm provides a more precise and reliable tool for estimating water clarity in the Albufera de Valencia using remote sensing data. This will contribute to better monitoring and management of water quality in this important aquatic ecosystem, valued for its natural and cultural heritage. Additionally, the results of this study highlight the importance of selecting appropriate optical models to estimate water clarity in highly turbid and eutrophic environments.

Keywords
Secchi disk depth
water quality
remote sensing
eutrophication
optical models
water management
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