An improved retrieval of snow and ice properties using Spaceborne OLCI/S-3 spectral reflectance measurements: Updated atmospheric correction and snow impurity load estimation

Alexander Kokhanovsky, Baptiste Vandecrux, Adrien Wehrlé, Olaf Danne, Carsten Brockmann, Jason E. Box

Research output: Contribution to journalArticleResearchpeer-review

3 Citations (Scopus)

Abstract

We present an update of the Snow and Ice (SICE) property retrieval algorithm based on the spectral measurements of Ocean and Land Color Instrument (OLCI) onboard Sentinel-3 satellites combined with the asymptotic radiative transfer theory valid for weakly absorbing turbid media. The main improvements include the introduction of a new atmospheric correction, retrieval of snow impurity load and properties, retrievals for partially snow-covered ground and also accounting for various thresholds to be used to assess the retrieval quality. The technique can be applied to various optical sensors (satellite and ground-based) operated in the visible and near infrared regions of electromagnetic spectra.

Original languageEnglish
Article number77
Number of pages25
JournalRemote Sensing
Volume15
Issue number1
DOIs
Publication statusPublished - Jan 2023

Keywords

  • atmospheric correction
  • cloud screening
  • radiative transfer
  • snow remote sensing

Programme Area

  • Programme Area 5: Nature and Climate

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