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Open AccessArticle

The Use of Multisource Optical Sensors to Study Phytoplankton Spatio-Temporal Variation in a Shallow Turbid Lake

1
Institute for Electromagnetic Sensing of the Environment, National Research Council, Via Bassini 15, 20133 Milan, Italy
2
Water Insight, Marijkeweg 22, 6709 PG Wageningen, The Netherlands
3
ARPA UMBRIA, Via Pievaiola, 207/B-3 Loc. S. Sisto, 06132 Perugia, Italy
4
Centre “Climate Change and Biodiversity of Lakes and Wetlands”, Environmental Protection Agency of Umbria Region, Polvese Island, Castiglione del lago, 06061 Perugia, Italy
*
Author to whom correspondence should be addressed.
Water 2020, 12(1), 284; https://doi.org/10.3390/w12010284
Received: 20 December 2019 / Revised: 14 January 2020 / Accepted: 15 January 2020 / Published: 18 January 2020
(This article belongs to the Special Issue Novel Lake Water Quality Monitoring Strategies)
Lake water quality monitoring has the potential to be improved through integrating detailed spatial information from new generation remote sensing satellites with high frequency observations from in situ optical sensors (WISPstation). We applied this approach for Lake Trasimeno with the aim of increasing knowledge of phytoplankton dynamics at different temporal and spatial scales. High frequency chlorophyll-a data from the WISPstation was modeled using non-parametric multiplicative regression. The ‘day of year’ was the most important factor, reflecting the seasonal progression of a phytoplankton bloom from July to September. In addition, weather factors such as the east–west wind component were also significant in predicting phytoplankton seasonal and diurnal patterns. Sentinel 3-OLCI and Sentinel 2-MSI satellites delivered 42 images in 2018 that successfully mapped the spatial and seasonal change in chlorophyll-a. The potential influence of localized inflows in contributing to increased chlorophyll-a in mid-summer was visualized. The satellite data also allowed an estimation of quality status at a much finer scale than traditional manual methods. Good correspondence was found with manually collected field data but more significantly, the greatly increased spatial and temporal resolution provided by satellite and WISPstation sensors clearly offers an unprecedented resource in the research and management of aquatic resources. View Full-Text
Keywords: chlorophyll-a; water monitoring; remote sensing; Sentinel-2 MSI; Sentinel-3 OLCI; WISPstation chlorophyll-a; water monitoring; remote sensing; Sentinel-2 MSI; Sentinel-3 OLCI; WISPstation
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MDPI and ACS Style

Bresciani, M.; Pinardi, M.; Free, G.; Luciani, G.; Ghebrehiwot, S.; Laanen, M.; Peters, S.; Della Bella, V.; Padula, R.; Giardino, C. The Use of Multisource Optical Sensors to Study Phytoplankton Spatio-Temporal Variation in a Shallow Turbid Lake. Water 2020, 12, 284. https://doi.org/10.3390/w12010284

AMA Style

Bresciani M, Pinardi M, Free G, Luciani G, Ghebrehiwot S, Laanen M, Peters S, Della Bella V, Padula R, Giardino C. The Use of Multisource Optical Sensors to Study Phytoplankton Spatio-Temporal Variation in a Shallow Turbid Lake. Water. 2020; 12(1):284. https://doi.org/10.3390/w12010284

Chicago/Turabian Style

Bresciani, Mariano; Pinardi, Monica; Free, Gary; Luciani, Giulia; Ghebrehiwot, Semhar; Laanen, Marnix; Peters, Steef; Della Bella, Valentina; Padula, Rosalba; Giardino, Claudia. 2020. "The Use of Multisource Optical Sensors to Study Phytoplankton Spatio-Temporal Variation in a Shallow Turbid Lake" Water 12, no. 1: 284. https://doi.org/10.3390/w12010284

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