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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{
  "description": "<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>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "@type": "Person", 
      "name": "Bresciani, Mariano"
    }, 
    {
      "@type": "Person", 
      "name": "Pinardi, Monica"
    }, 
    {
      "@type": "Person", 
      "name": "Free, Gary"
    }, 
    {
      "@type": "Person", 
      "name": "Luciani, Giulia"
    }, 
    {
      "@type": "Person", 
      "name": "Ghebrehiwot, Semhar"
    }, 
    {
      "@type": "Person", 
      "name": "Laanen, Marnix"
    }, 
    {
      "@type": "Person", 
      "name": "Peters, Steef"
    }, 
    {
      "@type": "Person", 
      "name": "Della Bella, Valentina"
    }, 
    {
      "@type": "Person", 
      "name": "Padula, Rosalba"
    }, 
    {
      "@type": "Person", 
      "name": "Giardino, Claudia"
    }
  ], 
  "headline": "The Use of Multisource Optical Sensors to Study Phytoplankton Spatio-Temporal Variation in a Shallow Turbid Lake", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2020-01-18", 
  "url": "https://zenodo.org/record/3617960", 
  "keywords": [
    "chlorophyll-a; water monitoring; remote sensing; Sentinel-2 MSI; Sentinel-3 OLCI; WISPstation"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3617960", 
  "@id": "https://doi.org/10.5281/zenodo.3617960", 
  "@type": "ScholarlyArticle", 
  "name": "The Use of Multisource Optical Sensors to Study Phytoplankton Spatio-Temporal Variation in a Shallow Turbid Lake"
}