Next Article in Journal
Determination of Global Geodetic Parameters Using Satellite Laser Ranging Measurements to Sentinel-3 Satellites
Next Article in Special Issue
A Review of Progress and Applications of Pulsed Doppler Wind LiDARs
Previous Article in Journal
Hyperspectral Image Denoising Using Global Weighted Tensor Norm Minimum and Nonlocal Low-Rank Approximation
Previous Article in Special Issue
Sentinel-1 Data for Winter Wheat Phenology Monitoring and Mapping
Article Menu

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

VITROCISET Belgium SPRL, Bratustrasse 7, D-64293 Darmstadt, Germany
Institut des Géosciences de l’Environnement (IGE), Université Grenoble Alpes, CNRS, UMR 5001, 38041 Grenoble, France
Université Grenoble Alpes, Université de Toulouse, Météo-France, CNRS, CNRM, Centre d’Etudes de la Neige, 38400 Grenoble, France
Brockmann Consult, Max Planck Strasse 2, 21502 Geesthacht, Germany
Department of Earth and Environmental Sciences, University of Milano-Bicocca, Piazza della Scienza, 1 20126 Milan, Italy
Arctic Environment Research Center, National Institute of Polar Research, Tachikawa 190-8518, Japan
Meteorological Research Institute, Japan Meteorological Agency, Tsukuba 305-0052, Japan
Institute of Environmental Physics, University of Bremen, D-28359 Bremen, Germany
USRA GESTAR, 7178 Columbia Gateway Drive, Columbia, MD 21046, USA
Alfred-Wegener-Institute, 27570 Bremerhaven, Germany
Institute of Earth and Environmental Sciences, University of Potsdam, 14476 Potsdam, Germany
Center for Ice and Climate, Copenhagen University, 1165 Copenhagen, Denmark
Geophysical Institute and Bjerknes Centre for Climate Research, University of Bergen, 5007 Bergen, Norway
Geological Survey of Denmark and Greenland (GEUS), 1350 Copenhagen, Denmark
ESTEC/ESA, Science, Applications and Climate Department (EOP-SME), 2201 Noordwijk, The Netherlands
Institute of Physics, National Academy of Sciences of Belarus, 220072 Minsk, Belarus
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(19), 2280;
Received: 19 July 2019 / Revised: 5 September 2019 / Accepted: 16 September 2019 / Published: 29 September 2019
(This article belongs to the Special Issue Remote Sensing: 10th Anniversary)
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 Land Colour Instrument (OLCI) onboard Sentinel-3A/B measurements over clean and polluted snow fields. Using OLCI spectral reflectance measurements in the range 400–1020 nm, we derived important snow properties such as spectral and broadband albedo, snow specific surface area, snow extent and grain size on a spatial grid of 300 m. The algorithm also incorporated cloud screening and atmospheric correction procedures over snow surfaces. We present validation results using ground measurements from Antarctica, the Greenland ice sheet and the French Alps. We find the spectral albedo retrieved with accuracy of better than 3% on average, making our retrievals sufficient for a variety of applications. Broadband albedo is retrieved with the average accuracy of about 5% over snow. Therefore, the uncertainties of satellite retrievals are close to experimental errors of ground measurements. The retrieved surface grain size shows good agreement with ground observations. Snow specific surface area observations are also consistent with our OLCI retrievals. We present snow albedo and grain size mapping over the inland ice sheet of Greenland for areas including dry snow, melted/melting snow and impurity rich bare ice. The algorithm can be applied to OLCI Sentinel-3 measurements providing an opportunity for creation of long-term snow property records essential for climate monitoring and data assimilation studies—especially in the Arctic region, where we face rapid environmental changes including reduction of snow/ice extent and, therefore, planetary albedo. View Full-Text
Keywords: snow characteristics; optical remote sensing; sow grain size; specific surface area; albedo; Sentinel 3; OLCI snow characteristics; optical remote sensing; sow grain size; specific surface area; albedo; Sentinel 3; OLCI
Show Figures

Figure 1

MDPI and ACS Style

Kokhanovsky, A.; Lamare, M.; Danne, O.; Brockmann, C.; Dumont, M.; Picard, G.; Arnaud, L.; Favier, V.; Jourdain, B.; Le Meur, E.; Di Mauro, B.; Aoki, T.; Niwano, M.; Rozanov, V.; Korkin, S.; Kipfstuhl, S.; Freitag, J.; Hoerhold, M.; Zuhr, A.; Vladimirova, D.; Faber, A.-K.; Steen-Larsen, H.C.; Wahl, S.; Andersen, J.K.; Vandecrux, B.; van As, D.; Mankoff, K.D.; Kern, M.; Zege, E.; Box, J.E. Retrieval of Snow Properties from the Sentinel-3 Ocean and Land Colour Instrument. Remote Sens. 2019, 11, 2280.

AMA Style

Kokhanovsky A, Lamare M, Danne O, Brockmann C, Dumont M, Picard G, Arnaud L, Favier V, Jourdain B, Le Meur E, Di Mauro B, Aoki T, Niwano M, Rozanov V, Korkin S, Kipfstuhl S, Freitag J, Hoerhold M, Zuhr A, Vladimirova D, Faber A-K, Steen-Larsen HC, Wahl S, Andersen JK, Vandecrux B, van As D, Mankoff KD, Kern M, Zege E, Box JE. Retrieval of Snow Properties from the Sentinel-3 Ocean and Land Colour Instrument. Remote Sensing. 2019; 11(19):2280.

Chicago/Turabian Style

Kokhanovsky, Alexander, 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 C. Steen-Larsen, Sonja Wahl, Jonas K. Andersen, Baptiste Vandecrux, Dirk van As, Kenneth D. Mankoff, Michael Kern, Eleonora Zege, and Jason E. Box. 2019. "Retrieval of Snow Properties from the Sentinel-3 Ocean and Land Colour Instrument" Remote Sensing 11, no. 19: 2280.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop