pySICE: A python package for the retrieval of snow surface properties from Sentinel 3 OLCI reflectances
B. Vandecrux (1), A. Kokhanovsky (2), G. Picard (3) and J. Box (1) (1) Geological Survey of Denmark and Greenland (GEUS) Øster Voldgade 10, 1350 Copenhagen, Denmark (2) Max Planck Institute for Chemistry, Mainz 55128, Federal Republic of Germany (3) Institut des Géosciences de l'Environnement,...
Main Authors: | , , , |
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Format: | Software |
Language: | English |
Published: |
2022
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Subjects: | |
Online Access: | https://zenodo.org/record/7310803 https://doi.org/10.5281/zenodo.7310803 |
Summary: | B. Vandecrux (1), A. Kokhanovsky (2), G. Picard (3) and J. Box (1) (1) Geological Survey of Denmark and Greenland (GEUS) Øster Voldgade 10, 1350 Copenhagen, Denmark (2) Max Planck Institute for Chemistry, Mainz 55128, Federal Republic of Germany (3) Institut des Géosciences de l'Environnement, Université de Grenoble, France This algorithm retrieves the snow surface properties using Sentinel-3's OLCI 865nm and 1020 nm bands and the theory developed by A. Kokhanovsky in: Kokhanovsky et al. (2018) On the reflectance spectroscopy of snow Kokhanovsky et al. (2019) Retrieval of Snow Properties from the Sentinel-3 Ocean and Land Colour Instrument Kokhanovsky et al. (2020) The Determination of Snow Albedo from Satellite Measurements Using Fast Atmospheric Correction Technique It includes the ozone retrieval from the OLCI 620 nm band developed in: Kokhanovsky et al. (2020) Retrieval of the total ozone over Antarctica using Sentinel-3 ocean and land colour instrument And the retrieval of impurity load and characteristics from OLCI 400nm and 490nm bands developed in: Kokhanovsky, A. A., et al., 2021a: Retrieval of dust properties from spectral snow reflectance measurements It is also the version that will be converted into a SNAP plug-in. |
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