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Technical Note
Pre-operational Sentinel-3 Snow and Ice (SICE) Products: Algorithm Theoretical Basis Document
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Submitted:
22 September 2020
Posted:
23 September 2020
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Abstract
This document describes the theoretical basis of the algorithms used to determine properties of snow and ice from the measurements of the Ocean and Land Color Instrument (OLCI) onboard Sentinel-3 satellites within the Pre-operational Sentinel-3 snow and ice products (SICE) project: http://snow.geus.dk/. The code used for the SICE retrieval and its documentation can be found at https://github.com/GEUS-SICE/pySICE. The algorithms were developed after the work from Kokhanovsky et al. (2018, 2019, 2020).
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Subject: Environmental and Earth Sciences - Environmental Science
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
An Improved Retrieval of Snow and Ice Properties Using Spaceborne OLCI/S-3 Spectral Reflectance Measurements: Updated Atmospheric Correction and Snow Impurity Load Estimation
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et al.
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2022
Estimating Fractional Snow Cover in Open Terrain from Sentinel-2 Using the Normalized Difference Snow Index
Simon Gascoin
et al.
,
2020
The Determination of Snow Albedo from Satellite Measurements Using Fast Atmospheric Correction Technique
Alexander Kokhanovsky
et al.
,
2019
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