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Algorithm theoretical basis documentation for an operational snow cover product from Sentinel-2 and Landsat-8 data (Let-it-snow)

Gascoin Simon; Grizonnet Manuel; Klempka Tristan; Salgues Germain


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.1414452", 
  "language": "eng", 
  "title": "Algorithm theoretical basis documentation for an operational snow cover product from Sentinel-2 and Landsat-8 data (Let-it-snow)", 
  "issued": {
    "date-parts": [
      [
        2018, 
        9, 
        12
      ]
    ]
  }, 
  "abstract": "<p>This document describes the algorithm of the Let-it-snow (LIS) processing chain to generate the snow cover extent product for the Theia land data center. The algorithm takes as input a Sentinel-2 or Landsat-8 image of surface reflectance corrected from atmospheric and slope effects, the associated cloud mask (level 2A product provided by Theia) and a digital elevation model. The output is a single band raster at the same resolution of the input image giving the snow presence or absence and a cloud mask. The output cloud mask is different from the input cloud mask because some pixels can be reclassified as snow or no-snow by the algorithm.</p>\n\n<p>The snow detection algorithm works in two passes: first the most evident snow cover is detected using a set of conservative thresholds, then these snow pixels are used to determine the lowest elevation of the snow cover. A second pass is performed for the pixels above this elevation with a new set of less conservative thresholds.</p>\n\n<p>The processing chain also generates a vectorized version of the snow mask after pass 1 and 2 and a color composite that is overlaid by these polygons. These secondary products are intended for expert validation purpose.</p>", 
  "author": [
    {
      "family": "Gascoin Simon"
    }, 
    {
      "family": "Grizonnet Manuel"
    }, 
    {
      "family": "Klempka Tristan"
    }, 
    {
      "family": "Salgues Germain"
    }
  ], 
  "version": "v1.0", 
  "type": "article", 
  "id": "1414452"
}
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