Preprint Technical Note Version 1 Preserved in Portico This version is not peer-reviewed

Pre-operational Sentinel-3 Snow and Ice (SICE) Products: Algorithm Theoretical Basis Document

Version 1 : Received: 22 September 2020 / Approved: 23 September 2020 / Online: 23 September 2020 (03:45:37 CEST)

How to cite: Kokhanovsky, A.; Box, J.; Vandecrux, B. Pre-operational Sentinel-3 Snow and Ice (SICE) Products: Algorithm Theoretical Basis Document. Preprints 2020, 2020090529 (doi: 10.20944/preprints202009.0529.v1). Kokhanovsky, A.; Box, J.; Vandecrux, B. Pre-operational Sentinel-3 Snow and Ice (SICE) Products: Algorithm Theoretical Basis Document. Preprints 2020, 2020090529 (doi: 10.20944/preprints202009.0529.v1).

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).

Supplementary and Associated Material

http://snow.geus.dk/: Pre-operational Sentinel-3 snow and ice (SICE) project website
https://github.com/GEUS-SICE/pySICE: Scripts used for the albedo retrieval within the SICE project

Subject Areas

snow; albedo; remote sensing; OLCI; Sentinel-3

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