Journal article Open Access

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

Bresciani, Mariano; Pinardi, Monica; Free, Gary; Luciani, Giulia; Ghebrehiwot, Semhar; Laanen, Marnix; Peters, Steef; Della Bella, Valentina; Padula, Rosalba; Giardino, Claudia

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    <subfield code="a">chlorophyll-a; water monitoring; remote sensing; Sentinel-2 MSI; Sentinel-3 OLCI; WISPstation</subfield>
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    <subfield code="a">&lt;p&gt;Lake water quality monitoring has the potential to be improved through integrating&lt;br&gt;
detailed spatial information from new generation remote sensing satellites with high frequency&lt;br&gt;
observations from in situ optical sensors (WISPstation). We applied this approach for Lake Trasimeno&lt;br&gt;
with the aim of increasing knowledge of phytoplankton dynamics at dierent temporal and spatial&lt;br&gt;
scales. High frequency chlorophyll-a data from the WISPstation was modeled using non-parametric&lt;br&gt;
multiplicative regression. The &amp;lsquo;day of year&amp;rsquo; was the most important factor, reflecting the seasonal&lt;br&gt;
progression of a phytoplankton bloom from July to September. In addition, weather factors such as&lt;br&gt;
the east&amp;ndash;west wind component were also significant in predicting phytoplankton seasonal and diurnal&lt;br&gt;
patterns. Sentinel 3-OLCI and Sentinel 2-MSI satellites delivered 42 images in 2018 that successfully&lt;br&gt;
mapped the spatial and seasonal change in chlorophyll-a. The potential influence of localized inflows&lt;br&gt;
in contributing to increased chlorophyll-a in mid-summer was visualized. The satellite data also&lt;br&gt;
allowed an estimation of quality status at a much finer scale than traditional manual methods. Good&lt;br&gt;
correspondence was found with manually collected field data but more significantly, the greatly&lt;br&gt;
increased spatial and temporal resolution provided by satellite and WISPstation sensors clearly oers&lt;br&gt;
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