Use of the Sentinel-2 and Landsat-8 Satellites for Water Quality Monitoring: An Early Warning Tool in the Mar Menor Coastal Lagoon

During recent years, several eutrophication processes and subsequent environmental crises have occurred in Mar Menor, the largest hypersaline coastal lagoon in the Western Mediterranean Sea. In this study, the Landsat-8 and Sentinel-2 satellites are jointly used to examine the evolution of the main water quality descriptors during the latest ecological crisis in 2021, resulting in an important loss of benthic vegetation and unusual mortality events affecting different aquatic species. Several field campaigns were carried out in March, July, August, and November 2021 to measure water quality variables over 10 control points. The validation of satellite biogeochemical variables against on-site measurements indicates precise results of the water quality algorithms with median errors of 0.41 mg/m(3) and 2.04 FNU for chlorophyll-a and turbidity, respectively. The satellite preprocessing scheme shows consistent performance for both satellites; therefore, using them in tandem can improve mapping strategies. The findings demonstrate the suitability of the methodology to capture the spatiotemporal distribution of turbidity and chlorophyll-a concentration at 10-30 m spatial resolution on a systematic basis and in a cost-effective way. The multitemporal products allow the identification of the main critical areas close to the mouth of the Albujon watercourse and the beginning of the eutrophication process with chlorophyll-a concentration above 3 mg/m(3). These innovative tools can support decision makers in improving current monitoring strategies as early warning systems for timely assistance during these ecological disasters, thus preventing detrimental conditions in the lagoon.

Data and Resources

Cite as

Caballero I. Roca M. Santos-Echeandia J. Bernardez P. y Navarro G. Use of the Sentinel-2 and Landsat-8 Satellites for Water Quality Monitoring: An Early Warning Tool in the Mar Menor Coastal Lagoon. MDPI, 2022.

Clipboard Icon
Retrieved: 24 Feb 2025 00:48:55

Metadata

Basic information
Resource type Article
Date of creation 2024-11-05
Date of last revision 2025-02-23
Show changelog
Metadata identifier d5897671-7605-5453-9038-af50314d644d
Metadata language Spanish
Themes (NTI-RISP)
High-value dataset category Earth observation and environment
ISO 19115 topic category
Keyword URIs
Bibliographic information
Name of the dataset creator Caballero, I., Roca, M., Santos-Echeandia, J., Bernardez, P. y Navarro, G.
Name of the dataset editor MDPI
Other identifier
Identifier of the dataset creator
Email of the dataset creator isabel.caballero@icman.csic.es
Website of the dataset creator
Provenance
Lineage statement
Metadata Standard
Version notes
Version