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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-2/W13
https://doi.org/10.5194/isprs-archives-XLII-2-W13-489-2019
© Author(s) 2019. 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-W13-489-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
04 Jun 2019
| 04 Jun 2019
ASSESSMENT OF RGB AND HYPERSPECTRAL UAV REMOTE SENSING FOR GRASS QUANTITY AND QUALITY ESTIMATION
R. A. Oliveira
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute FGI, Finland
R. Näsi
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute FGI, Finland
O. Niemeläinen
Natural Resources Institute Finland - LUKE, Latokartanonkaari 9, FI-00790 Helsinki, Finland
L. Nyholm
Valio Oy, PL 10, FI-00039 Valio, Finland
K. Alhonoja
Yara Suomi Oy, Bertel Jungin aukio 9, FI-02600 Espoo, Finland
J. Kaivosoja
Natural Resources Institute Finland - LUKE, Latokartanonkaari 9, FI-00790 Helsinki, Finland
N. Viljanen
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute FGI, Finland
T. Hakala
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute FGI, Finland
S. Nezami
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute FGI, Finland
L. Markelin
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute FGI, Finland
L. Jauhiainen
Natural Resources Institute Finland - LUKE, Latokartanonkaari 9, FI-00790 Helsinki, Finland
E. Honkavaara
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute FGI, 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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