![[2510.09736] Chlorophyll-a Mapping and Prediction in the Mar Menor Lagoon Using C2RCC-Processed Sentinel 2 Imagery](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
[2510.09736] Chlorophyll-a Mapping and Prediction in the Mar Menor Lagoon Using C2RCC-Processed Sentinel 2 Imagery
Summary
This study presents a methodology for mapping and predicting chlorophyll-a levels in the Mar Menor Lagoon using C2RCC-processed Sentinel 2 imagery, enhancing monitoring capabilities for eutrophication.
Why It Matters
The Mar Menor Lagoon is facing severe eutrophication, impacting its ecosystem. This research provides a scalable solution for monitoring chlorophyll-a, crucial for early detection of harmful algal blooms, thus aiding environmental management and conservation efforts.
Key Takeaways
- Developed a methodology for depth-specific chlorophyll-a mapping.
- Utilized C2RCC-processed Sentinel 2 imagery for comprehensive monitoring.
- Achieved high predictive accuracy across various water depths.
- Confirmed robustness by reproducing known eutrophication events.
- Provides a transferable framework for monitoring other coastal systems.
Electrical Engineering and Systems Science > Image and Video Processing arXiv:2510.09736 (eess) [Submitted on 10 Oct 2025 (v1), last revised 24 Feb 2026 (this version, v2)] Title:Chlorophyll-a Mapping and Prediction in the Mar Menor Lagoon Using C2RCC-Processed Sentinel 2 Imagery Authors:Antonio Martínez-Ibarra, Aurora González-Vidal, Adrián Cánovas-Rodríguez, Antonio F. Skarmeta View a PDF of the paper titled Chlorophyll-a Mapping and Prediction in the Mar Menor Lagoon Using C2RCC-Processed Sentinel 2 Imagery, by Antonio Mart\'inez-Ibarra and 3 other authors View PDF HTML (experimental) Abstract:The Mar Menor, Europe's largest coastal lagoon, located in Spain, has undergone severe eutrophication crises. Monitoring chlorophyll-a (Chl-a) is essential to anticipate harmful algal blooms and guide mitigation. Traditional in situ measurements are spatially and temporally limited. Satellite-based approaches provide a more comprehensive view, enabling scalable, long-term, and transferable monitoring. This study aims to overcome limitations of chlorophyll monitoring, often restricted to surface estimates or limited temporal coverage, by developing a reliable methodology to predict and map Chl-a across the water column of the Mar Menor. The work integrates Sentinel 2 imagery with buoy-based ground truth to create models capable of high-resolution, depth-specific monitoring, enhancing early-warning capabilities for eutrophication. Nearly a decade of Sentinel 2 images was atmospheric...
