January 18, 2020 Journal article Open Access

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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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3617960", 
  "author": [
    {
      "family": "Bresciani, Mariano"
    }, 
    {
      "family": "Pinardi, Monica"
    }, 
    {
      "family": "Free, Gary"
    }, 
    {
      "family": "Luciani, Giulia"
    }, 
    {
      "family": "Ghebrehiwot, Semhar"
    }, 
    {
      "family": "Laanen, Marnix"
    }, 
    {
      "family": "Peters, Steef"
    }, 
    {
      "family": "Della Bella, Valentina"
    }, 
    {
      "family": "Padula, Rosalba"
    }, 
    {
      "family": "Giardino, Claudia"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2020, 
        1, 
        18
      ]
    ]
  }, 
  "abstract": "<p>Lake water quality monitoring has the potential to be improved through integrating<br>\ndetailed spatial information from new generation remote sensing satellites with high frequency<br>\nobservations from in situ optical sensors (WISPstation). We applied this approach for Lake Trasimeno<br>\nwith the aim of increasing knowledge of phytoplankton dynamics at dierent temporal and spatial<br>\nscales. High frequency chlorophyll-a data from the WISPstation was modeled using non-parametric<br>\nmultiplicative regression. The &lsquo;day of year&rsquo; was the most important factor, reflecting the seasonal<br>\nprogression of a phytoplankton bloom from July to September. In addition, weather factors such as<br>\nthe east&ndash;west wind component were also significant in predicting phytoplankton seasonal and diurnal<br>\npatterns. Sentinel 3-OLCI and Sentinel 2-MSI satellites delivered 42 images in 2018 that successfully<br>\nmapped the spatial and seasonal change in chlorophyll-a. The potential influence of localized inflows<br>\nin contributing to increased chlorophyll-a in mid-summer was visualized. The satellite data also<br>\nallowed an estimation of quality status at a much finer scale than traditional manual methods. Good<br>\ncorrespondence was found with manually collected field data but more significantly, the greatly<br>\nincreased spatial and temporal resolution provided by satellite and WISPstation sensors clearly oers<br>\nan unprecedented resource in the research and management of aquatic resources.</p>", 
  "title": "The Use of Multisource Optical Sensors to Study Phytoplankton Spatio-Temporal Variation in a Shallow Turbid Lake", 
  "type": "article-journal", 
  "id": "3617960"
}