Monitoring chlorophyll a concentration in the Mar Menor coastal lagoon using ocean color sensors

The Mar Menor coastal lagoon has experienced a severe eutrophication process since 2015, with its most visible effect being a series of phytoplankton blooms featured by unprecedentedly high and persistent concentrations of chlorophyll a in the water column. To better quantify and monitor these changes, two suitable chlorophyll concentration algorithms (referred to as BELA, short for BELich Algorithm) for the Mar Menor lagoon are proposed. These algorithms are derived from the analysis of thousands of reflectance spectra obtained from six satellite ocean color sensors, combined with in situ observations performed between 2016 and 2023. Our results demonstrate that the BELA algorithms can accurately estimate chlorophyll a concentration in the shallow waters of the Mar Menor lagoon for values above 2 mg m −3 , a range consistent with various of the episodes of high productivity observed since 2015. These algorithms perform well for a variety of currently operational ocean color sensors and could be used in future planned missions. This versatility makes them a valuable tool for monitoring and assessing the environmental state of the lagoon.

Authors

Institutions

Publication Details

Journal
Remote Sensing Applications Society and Environment
Published
2025-03-27
DOI
https://doi.org/10.1016/j.rsase.2025.101531
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Monitoring chlorophyll a concentration in the Mar Menor coastal lagoon using ocean color sensors

J. G. Giménez, Víctor Orenes‐Salazar, Rocío García‐Muñoz, Jesús M. Mercado et al.
Remote Sensing Applications Society and Environment
Advanced Chemical Sensor Technologies
article

Monitoring chlorophyll a concentration in the Mar Menor coastal lagoon using ocean color sensors

J. G. Giménez, Víctor Orenes‐Salazar, Rocío García‐Muñoz, Jesús M. Mercado, E. Fraile‐Nuez, Isabel Ferrera, Francisco Gómez-Jakobsen, Juan M. Ruíz, Lidia Yebra, José M. Cecilia, Marijn Oosterbaan, Pilar Martínez-Martínez, Virginia Sandoval-Cánovas, Antonio Ortolano-Muñoz, Patricia Pérez-Tórtola
article en

Abstract

The Mar Menor coastal lagoon has experienced a severe eutrophication process since 2015, with its most visible effect being a series of phytoplankton blooms featured by unprecedentedly high and persistent concentrations of chlorophyll a in the water column. To better quantify and monitor these changes, two suitable chlorophyll concentration algorithms (referred to as BELA, short for BELich Algorithm) for the Mar Menor lagoon are proposed. These algorithms are derived from the analysis of thousands of reflectance spectra obtained from six satellite ocean color sensors, combined with in situ observations performed between 2016 and 2023. Our results demonstrate that the BELA algorithms can accurately estimate chlorophyll a concentration in the shallow waters of the Mar Menor lagoon for values above 2 mg m −3 , a range consistent with various of the episodes of high productivity observed since 2015. These algorithms perform well for a variety of currently operational ocean color sensors and could be used in future planned missions. This versatility makes them a valuable tool for monitoring and assessing the environmental state of the lagoon.

Remote Sensing Applications Society and EnvironmentVol. 38
Instituto Español de Oceanografía (ES), Instituto Volcanológico de Canarias (ES), Universitat Politècnica de València (ES), Universidad de Málaga (ES)
Life below water
Openalex Percentile: Top 94%
Advanced Chemical Sensor Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.