4.6 Article

Chlorophyll and Suspended Solids Estimation in Portuguese Reservoirs (Aguieira and Alqueva) from Sentinel-2 Imagery

Journal

WATER
Volume 13, Issue 18, Pages -

Publisher

MDPI
DOI: 10.3390/w13182479

Keywords

WFD; water quality; Sentinel-2; satellite remote sensing; C2RCC; chlorophyll a; total suspended solids

Funding

  1. National Funds (through the FCT-Foundation for Science and Technology)
  2. European Regional Development Fund (through COMPETE2020 and PT2020) through the research project ReDEFine [POCI-01-0145-FEDER-029368]
  3. Regulamento do Emprego Cientifico e Tecnologico-RJEC from the Portuguese Foundation for Science and Technology (FCT) program [CEECIND/01756/2017]
  4. [UIDB/04423/2020]
  5. [UIDP/04423/2020]
  6. Fundação para a Ciência e a Tecnologia [UIDB/04423/2020, UIDP/04423/2020] Funding Source: FCT

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This study introduces the use of satellite data for assessing water quality in reservoirs to support effective and sustainable water management. Satellite remote sensing provides lower errors compared to in situ data, with some fine-tuning potentially required for improved accuracy.
Reservoirs have been subject to anthropogenic stressors, becoming increasingly degraded. The evaluation of ecological potential in reservoirs is remarkably challenging, and consistent and regular monitoring using the traditional in situ methods defined in the WFD is often time- and money-consuming. Alternatively, remote sensing offers a low-cost, high frequency, and practical complement to these methods. This paper proposes a novel approach, using a C2RCC processor to analyze Sentinel-2 imagery data to retrieve information on water quality in two reservoirs of Portugal, Aguieira and Alqueva. We evaluate the temporal and spatial evolution of Chl a and total suspended solids (TSS), between 2018 and 2020, comparing in situ and satellite data. Generally, Alqueva reservoir allowed lower relative (NRMSE = 8.9% for Chl a and NRMSE = 21.9% for TSS) and systematic (NMBE = 1.7% for Chl a and NMBE = 2.0% for TSS) errors than Aguieira, where some fine-tuning would be required. Our paper shows how satellite data can be fundamental for water-quality assessment to support the effective and sustainable management of inland waters. In addition, it proposes solutions for future research in order to improve upon the methods used and solve the challenges faced in this study.

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