Publication Abstracts
Kokhanovsky et al. 2019
Kokhanovsky, A., M. Lamare, O. Danne, C. Brockmann, M. Dumont, G. Picard, L. Arnaud, V. Favier, B. Jourdain, E. Le Meur, B. Di Mauro, T. Aoki, M. Niwano, V. Rozanov, S. Korkin, S. Kipfstuhl, J. Freitag, M. Hoerhold, A. Zuhr, D. Vladimirova, A.-K. Faber, H.C. Steen-Larsen, S. Wahl, J.K. Andersen, B. Vandecrux, D. van As, , M. Kern, E. Zege, and J.E. Box, 2019: Retrieval of snow properties from the Sentinel-3 Ocean and Land Colour Instrument. MDPI Remote Sens., 11, 2280, doi:10.3390/rs11192280.
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.
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BibTeX Citation
@article{ko09600r,
author={Kokhanovsky, A. and Lamare, M. and Danne, O. and Brockmann, C. and Dumont, M. and Picard, G. and Arnaud, L. and Favier, V. and Jourdain, B. and Le Meur, E. and Di Mauro, B. and Aoki, T. and Niwano, M. and Rozanov, V. and Korkin, S. and Kipfstuhl, S. and Freitag, J. and Hoerhold, M. and Zuhr, A. and Vladimirova, D. and Faber, A.-K. and Steen-Larsen, H. C. and Wahl, S. and Andersen, J. K. and Vandecrux, B. and van As, D. and Mankoff, K. D. and Kern, M. and Zege, E. and Box, J. E.},
title={Retrieval of snow properties from the Sentinel-3 Ocean and Land Colour Instrument},
year={2019},
journal={MDPI Remote Sens.},
volume={11},
pages={2280},
doi={10.3390/rs11192280},
}
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RIS Citation
TY - JOUR ID - ko09600r AU - Kokhanovsky, A. AU - Lamare, M. AU - Danne, O. AU - Brockmann, C. AU - Dumont, M. AU - Picard, G. AU - Arnaud, L. AU - Favier, V. AU - Jourdain, B. AU - Le Meur, E. AU - Di Mauro, B. AU - Aoki, T. AU - Niwano, M. AU - Rozanov, V. AU - Korkin, S. AU - Kipfstuhl, S. AU - Freitag, J. AU - Hoerhold, M. AU - Zuhr, A. AU - Vladimirova, D. AU - Faber, A.-K. AU - Steen-Larsen, H. C. AU - Wahl, S. AU - Andersen, J. K. AU - Vandecrux, B. AU - van As, D. AU - Mankoff, K. D. AU - Kern, M. AU - Zege, E. AU - Box, J. E. PY - 2019 TI - Retrieval of snow properties from the Sentinel-3 Ocean and Land Colour Instrument JA - MDPI Remote Sens. VL - 11 SP - 2280 DO - 10.3390/rs11192280 ER -
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