The Determination of Snow Albedo from Satellite Measurements Using Fast Atmospheric Correction Technique
1
VITROCISET, Bratustrasse 7, D-64293 Darmstadt, Germany
2
Geological Survey of Denmark and Greenland (GEUS), 1050K Copenhagen, Denmark
3
Météo-France, CNRS, CNRM, Centre d’ Etudes de la Neige, 38400 Grenoble, France
4
Science Systems and Applications, Inc., Lanham, MD 20706, USA
5
Biospheric Sciences Laboratory, NASA GSFC, Greenbelt, MD 20771, USA
6
Applications and Climate Department (EOP-SME), ESTEC/ESA, Science, 2200 AG Noordwijk, The Netherlands
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(2), 234; https://doi.org/10.3390/rs12020234
Received: 29 November 2019 / Revised: 27 December 2019 / Accepted: 2 January 2020 / Published: 9 January 2020
(This article belongs to the Special Issue Remote Sensing of Atmosphere and Underlying Surface Using OLCI and SLSTR on Board Sentinel-3: Calibration, Algorithms, Geophysical Products and Validation)
We present a simplified atmospheric correction algorithm for snow/ice albedo retrievals using single view satellite measurements. The validation of the technique is performed using Ocean and Land Colour Instrument (OLCI) on board Copernicus Sentinel-3 satellite and ground spectral or broadband albedo measurements from locations on the Greenland ice sheet and in the French Alps. Through comparison with independent ground observations, the technique is shown to perform accurately in a range of conditions from a 2100 m elevation mid-latitude location in the French Alps to a network of 15 locations across a 2390 m elevation range in seven regions across the Greenland ice sheet. Retrieved broadband albedo is accurate within 5% over a wide (0.5) broadband albedo range of the (N = 4155) Greenland observations and with no apparent bias.
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Keywords:
snow characteristics; optical remote sensing; snow albedo; PROMICE; Sentinel 3; OLCI; atmospheric correction; arctic aerosol
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Kokhanovsky, A.; Box, J.E.; Vandecrux, B.; Mankoff, K.D.; Lamare, M.; Smirnov, A.; Kern, M. The Determination of Snow Albedo from Satellite Measurements Using Fast Atmospheric Correction Technique. Remote Sens. 2020, 12, 234.
AMA Style
Kokhanovsky A, Box JE, Vandecrux B, Mankoff KD, Lamare M, Smirnov A, Kern M. The Determination of Snow Albedo from Satellite Measurements Using Fast Atmospheric Correction Technique. Remote Sensing. 2020; 12(2):234.
Chicago/Turabian StyleKokhanovsky, Alexander; Box, Jason E.; Vandecrux, Baptiste; Mankoff, Kenneth D.; Lamare, Maxim; Smirnov, Alexander; Kern, Michael. 2020. "The Determination of Snow Albedo from Satellite Measurements Using Fast Atmospheric Correction Technique" Remote Sens. 12, no. 2: 234.
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