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

JSON Export

{
  "files": [
    {
      "links": {
        "self": "https://zenodo.org/api/files/608b8cab-ff19-4d97-b504-4992a616b78d/water-12-00284.pdf"
      }, 
      "checksum": "md5:df8db5452ab10a801083f2862c9e3b96", 
      "bucket": "608b8cab-ff19-4d97-b504-4992a616b78d", 
      "key": "water-12-00284.pdf", 
      "type": "pdf", 
      "size": 6259833
    }
  ], 
  "owners": [
    87385
  ], 
  "doi": "10.5281/zenodo.3617960", 
  "stats": {
    "version_unique_downloads": 43.0, 
    "unique_views": 46.0, 
    "views": 51.0, 
    "version_views": 51.0, 
    "unique_downloads": 43.0, 
    "version_unique_views": 46.0, 
    "volume": 306731817.0, 
    "version_downloads": 49.0, 
    "downloads": 49.0, 
    "version_volume": 306731817.0
  }, 
  "links": {
    "doi": "https://doi.org/10.5281/zenodo.3617960", 
    "conceptdoi": "https://doi.org/10.5281/zenodo.3617959", 
    "bucket": "https://zenodo.org/api/files/608b8cab-ff19-4d97-b504-4992a616b78d", 
    "conceptbadge": "https://zenodo.org/badge/doi/10.5281/zenodo.3617959.svg", 
    "html": "https://zenodo.org/record/3617960", 
    "latest_html": "https://zenodo.org/record/3617960", 
    "badge": "https://zenodo.org/badge/doi/10.5281/zenodo.3617960.svg", 
    "latest": "https://zenodo.org/api/records/3617960"
  }, 
  "conceptdoi": "10.5281/zenodo.3617959", 
  "created": "2020-01-21T14:04:40.860415+00:00", 
  "updated": "2020-01-24T19:21:33.336562+00:00", 
  "conceptrecid": "3617959", 
  "revision": 2, 
  "id": 3617960, 
  "metadata": {
    "access_right_category": "success", 
    "doi": "10.5281/zenodo.3617960", 
    "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": {
      "id": "CC-BY-4.0"
    }, 
    "title": "The Use of Multisource Optical Sensors to Study Phytoplankton Spatio-Temporal Variation in a Shallow Turbid Lake", 
    "relations": {
      "version": [
        {
          "count": 1, 
          "index": 0, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "3617959"
          }, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "3617960"
          }
        }
      ]
    }, 
    "grants": [
      {
        "code": "730066", 
        "links": {
          "self": "https://zenodo.org/api/grants/10.13039/501100000780::730066"
        }, 
        "title": "Earth Observation based services for Monitoring and Reporting of Ecological Status", 
        "acronym": "EOMORES", 
        "program": "H2020", 
        "funder": {
          "doi": "10.13039/501100000780", 
          "acronyms": [], 
          "name": "European Commission", 
          "links": {
            "self": "https://zenodo.org/api/funders/10.13039/501100000780"
          }
        }
      }
    ], 
    "keywords": [
      "chlorophyll-a; water monitoring; remote sensing; Sentinel-2 MSI; Sentinel-3 OLCI; WISPstation"
    ], 
    "publication_date": "2020-01-18", 
    "creators": [
      {
        "name": "Bresciani, Mariano"
      }, 
      {
        "name": "Pinardi, Monica"
      }, 
      {
        "name": "Free, Gary"
      }, 
      {
        "name": "Luciani, Giulia"
      }, 
      {
        "name": "Ghebrehiwot, Semhar"
      }, 
      {
        "name": "Laanen, Marnix"
      }, 
      {
        "name": "Peters, Steef"
      }, 
      {
        "name": "Della Bella, Valentina"
      }, 
      {
        "name": "Padula, Rosalba"
      }, 
      {
        "name": "Giardino, Claudia"
      }
    ], 
    "access_right": "open", 
    "resource_type": {
      "subtype": "article", 
      "type": "publication", 
      "title": "Journal article"
    }, 
    "related_identifiers": [
      {
        "scheme": "doi", 
        "identifier": "10.5281/zenodo.3617959", 
        "relation": "isVersionOf"
      }
    ]
  }
}