Retrieval of Snow Properties from the Sentinel-3 Ocean and Land Colour Instrument

Retrieval of Snow Properties from the Sentinel-3 Ocean and Land Colour Instrument

The Sentinel Application Platform (SNAP) architecture facilitates Earth Observation data processing. In this work, we present results from a new Snow Processor for SNAP. We also describe physical principles behind the developed snow property retrieval technique based on the analysis of Ocean and Lan...

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Bibliographic Details
Main Authors:	Alexander Kokhanovsky, Maxim Lamare, Olaf Danne, Carsten Brockmann, Marie Dumont, Ghislain Picard, Laurent Arnaud, Vincent Favier, Bruno Jourdain, Emmanuel Le Meur, Biagio Di Mauro, Teruo Aoki, Masashi Niwano, Vladimir Rozanov, Sergey Korkin, Sepp Kipfstuhl, Johannes Freitag, Maria Hoerhold, Alexandra Zuhr, Diana Vladimirova, Anne-Katrine Faber, Hans Christian Steen-Larsen, Sonja Wahl, Jonas K. Andersen, Baptiste Vandecrux, Dirk van As, Kenneth D. Mankoff, Michael Kern, Eleonora Zege, Jason E. Box
Format:	Article
Language:	English
Published:	MDPI AG 2019-09-01
Series:	Remote Sensing
Subjects:	snow characteristics optical remote sensing sow grain size specific surface area albedo sentinel 3 olci
Online Access:	https://www.mdpi.com/2072-4292/11/19/2280

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