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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-2
https://doi.org/10.5194/isprs-archives-XLII-2-411-2018
© 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/isprs-archives-XLII-2-411-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
30 May 2018
| 30 May 2018
VARIABILITY OF REMOTE SENSING SPECTRAL INDICES IN BOREAL LAKE BASINS
T. Hakala
Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland
I. Pölönen
Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland
E. Honkavaara
Finnish Geospatial Research Institute FGI, Kirkkonummi, Finland
R. Näsi
Finnish Geospatial Research Institute FGI, Kirkkonummi, Finland
T. Hakala
Finnish Geospatial Research Institute FGI, Kirkkonummi, Finland
A. Lindfors
Luode Consulting Ltd, Espoo, Finland
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Short summary
Short summary
The primary goal of this paper is to present a model of snow surface albedo (brightness) accounting for small-scale surface roughness effects. It can be combined with any volume scattering model. The results indicate that surface roughness may decrease the albedo by about 1–3 % in midwinter and even more than 10 % during the late melting season. The effect is largest for low solar zenith angle values and lower bulk snow albedo values.
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Short summary
Short summary
Light-absorbing impurities change the reflectance of snow in different ways. Some particles are heated by the Sun and they sink out of sight. During the process, snow may look darker than pure snow when observed by nadir, but at larger view zenith angles the snow may look as white as clean snow. Thus an observer on the ground may overestimate the albedo, while a satellite underestimates the albedo. Climate studies need to examine how the contaminants behave in snow, not only their total amounts.
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