The determination of snow albedo from satellite measurements using fast atmospheric correction technique

Alexander Kokhanovsky, Jason E. Box, Baptiste Vandecrux, Kenneth D. Mankoff, Maxim Lamare, Alexander Smirnov, Michael Kern

Research output: Contribution to journalArticleResearchpeer-review

23 Citations (Scopus)

Abstract

We present a simplified atmospheric correction algorithm for snow/ice albedo retrievals using single view satellite measurements. The validation of the technique is performed using Ocean and Land Colour Instrument (OLCI) on board Copernicus Sentinel-3 satellite and ground spectral or broadband albedo measurements from locations on the Greenland ice sheet and in the French Alps. Through comparison with independent ground observations, the technique is shown to perform accurately in a range of conditions from a 2100 m elevation mid-latitude location in the French Alps to a network of 15 locations across a 2390 m elevation range in seven regions across the Greenland ice sheet. Retrieved broadband albedo is accurate within 5% over a wide (0.5) broadband albedo range of the (N = 4155) Greenland observations and with no apparent bias.

Original languageEnglish
Article number234
Number of pages18
JournalRemote Sensing
Volume12
Issue number2
DOIs
Publication statusPublished - 1 Jan 2020

Keywords

  • Arctic aerosol
  • Atmospheric correction
  • OLCI
  • Optical remote sensing
  • PROMICE
  • Sentinel 3
  • Snow albedo
  • Snow characteristics

Programme Area

  • Programme Area 5: Nature and Climate

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