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

Publikation: Bidrag til tidsskriftArtikelForskningpeer review

Abstrakt

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.

OriginalsprogEngelsk
Artikelnummer77
Antal sider25
TidsskriftRemote Sensing
Vol/bind15
Udgave nummer1
DOI
StatusUdgivet - jan. 2023

Programområde

  • Programområde 5: Natur og klima

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