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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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  <identifier identifierType="DOI">10.5281/zenodo.1414452</identifier>
  <creators>
    <creator>
      <creatorName>Gascoin Simon</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4996-6768</nameIdentifier>
      <affiliation>CESBIO/CNRS</affiliation>
    </creator>
    <creator>
      <creatorName>Grizonnet Manuel</creatorName>
      <affiliation>CNES</affiliation>
    </creator>
    <creator>
      <creatorName>Klempka Tristan</creatorName>
      <affiliation>CNES</affiliation>
    </creator>
    <creator>
      <creatorName>Salgues Germain</creatorName>
      <affiliation>Magellium</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Algorithm theoretical basis documentation for an operational snow cover product from Sentinel-2 and Landsat-8 data (Let-it-snow)</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <subjects>
    <subject>snow</subject>
    <subject>remote sensing</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2018-09-12</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Software documentation</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1414452</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1414451</relatedIdentifier>
  </relatedIdentifiers>
  <version>v1.0</version>
  <rightsList>
    <rights rightsURI="https://opensource.org/licenses/AGPL-3.0">GNU Affero General Public License v3.0</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;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.&lt;/p&gt;

&lt;p&gt;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.&lt;/p&gt;

&lt;p&gt;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.&lt;/p&gt;</description>
  </descriptions>
</resource>
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