Scientific Results

  • ID:
    publications-2048
  • Type:
    Peer reviewed articles
  • Year:
    2021
  • Authors:
    Zacharie Barrou Dumont, Simon Gascoin, Olivier Hagolle, Michaël Ablain, Rémi Jugier, Germain Salgues, Florence Marti, Aurore Dupuis, Marie Dumont, Samuel Morin
  • Title:
    Brief communication: Evaluation of the snow cover detection in the Copernicus High Resolution Snow & Ice Monitoring Service
  • Venue/Journal:
    The Cryosphere
  • DOI:
    10.5194/tc-15-4975-2021
  • Research type:
    Data Management & Analytics
  • Water System:
    Precipitation & Ecological Systems
  • Technical Focus:
  • Abstract:
    Abstract. The High Resolution Snow & Ice Monitoring Service was launched in 2020 to provide near-real-time, pan-European snow and ice information at 20 m resolution from Sentinel-2 observations. Here we present an evaluation of the snow detection using a database of snow depth observations from 1764 stations across Europe over the hydrological year 2016–2017. We find a good agreement between both datasets with an accuracy (proportion of correct classifications) of 94 % and kappa of 0.81. More accurate (+6 % kappa) retrievals are obtained by excluding low-quality pixels at the cost of a reduced coverage (−13 % data).
  • Link with Projects:
    949516
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