Assessment of oceanographic services for the monitoring of highly anthropised coastal lagoons: The Mar Menor case study

Ocean monitoring systems are designed for continuous monitoring to track their evolution and anticipate environmental issues. However, they are often based on IoT systems that offer little spatial coverage and are hard to maintain. Satellite remote sensing offers good geographical coverage but they also face several challenges to become a monitoring system. This paper introduces an easy-to-use software tool to crawl water-quality data from up to 6 satellite instruments from the ESA and NASA. Particularly, Chl-a data is deeply analyzed in terms of reliability and data coverage for a highly anthropised coastal lagoon (Mar Menor, Spain), where serious socio-environmental issues are happening. Our results show a good linear correlation between in situ data and SRS data, reaching values close to 0.9, and stating the relevance of organic matter inputs from ephemeral streams in Chl-a concentrations. Moreover, temporal granularity is increased from 5 to 1.5 days by combining SRS sources.

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Giménez J.G. Granero A. Senent-Aparicio J. Gómez-Jakobsen F. Mercado J.M. Blanco-Gómez P. Ruíz J.M. y Cecilia J.M. Assessment of oceanographic services for the monitoring of highly anthropised coastal lagoons: The Mar Menor case study. Elsevier B.V., 2022. https://doi.org/10.2139/ssrn.4195949

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Retrieved: 07 Nov 2025 06:03:19
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Resource type Article
Date of creation 2024-11-05
Date of last revision 2024-11-05
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Metadata identifier 3e0f5fb4-8937-568f-bdda-39c612c2995b
Metadata language Spanish
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High-value dataset category Earth observation and environment
ISO 19115 topic category biota
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Name of the dataset creator Giménez, J.G., Granero, A., Senent-Aparicio, J., Gómez-Jakobsen, F., Mercado, J.M., Blanco-Gómez, P., Ruíz, J.M. y Cecilia, J.M.
Name of the dataset editor Elsevier B.V.
Other identifier DOI: 10.2139/ssrn.4195949
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