Articles | Volume 12, issue 7
https://doi.org/10.5194/tc-12-2371-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-12-2371-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
On the reflectance spectroscopy of snow
Alexander Kokhanovsky
CORRESPONDING AUTHOR
VITROCISET, Bratustrasse 7, 64293 Darmstadt, Germany
Maxim Lamare
UGA, CNRS, Institut des Géosciences de l'Environnement (IGE), UMR 5001,
Grenoble, 38041, France
Meteo-France–CNRS, CNRM UMR 3589, Centre d'Etudes de la Neige, Grenoble,
France
Biagio Di Mauro
Department of Earth and Environmental Sciences, University of
Milano-Bicocca, Piazza della Scienza, 1, 20126 Milan, Italy
Ghislain Picard
UGA, CNRS, Institut des Géosciences de l'Environnement (IGE), UMR 5001,
Grenoble, 38041, France
Laurent Arnaud
UGA, CNRS, Institut des Géosciences de l'Environnement (IGE), UMR 5001,
Grenoble, 38041, France
Marie Dumont
Meteo-France–CNRS, CNRM UMR 3589, Centre d'Etudes de la Neige, Grenoble,
France
François Tuzet
Meteo-France–CNRS, CNRM UMR 3589, Centre d'Etudes de la Neige, Grenoble,
France
UGA, CNRS, Institut des Géosciences de l'Environnement (IGE), UMR 5001,
Grenoble, 38041, France
Carsten Brockmann
Brockmann Consult, Max Planck Strasse 2, Geesthacht, Germany
Jason E. Box
Geological Survey of Denmark and Greenland (GEUS), Copenhagen, Denmark
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- Large-area high spatial resolution albedo retrievals from remote sensing for use in assessing the impact of wildfire soot deposition on high mountain snow and ice melt A. Bertoncini et al. 10.1016/j.rse.2022.113101
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- Mapping snow density through thermal inertia observations R. Colombo et al. 10.1016/j.rse.2022.113323
- Optical Properties of Snow Surfaces: Multiangular Photometric and Polarimetric Hyperspectral Measurements Z. Sun et al. 10.1109/TGRS.2021.3078170
- On the retrieval of aerosol optical depth over cryosphere using passive remote sensing L. Mei et al. 10.1016/j.rse.2020.111731
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- Passive Microwave Signatures and Retrieval of High-Latitude Snowfall Over Open Oceans and Sea Ice: Insights From Coincidences of GPM and CloudSat Satellites S. Vahedizade et al. 10.1109/TGRS.2021.3071709
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- Effects of Snow Grain Shape and Mixing State of Snow Impurity on Retrieval of Snow Physical Parameters From Ground‐Based Optical Instrument T. Tanikawa et al. 10.1029/2019JD031858
- Raman Spectroscopy-Based Assessment of the Liquid Water Content in Snow E. Maggiore et al. 10.3390/molecules27030626
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Discussed (preprint)
Latest update: 14 Dec 2024
Short summary
This work presents a new technique with which to derive the snow microphysical and optical properties from snow spectral reflectance measurements. The technique is robust and easy to use, and it does not require the extraction of snow samples from a given snowpack. It can be used in processing satellite imagery over extended fresh dry, wet and polluted snowfields.
This work presents a new technique with which to derive the snow microphysical and optical...