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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-3/W3
https://doi.org/10.5194/isprs-archives-XLII-3-W3-113-2017
© Author(s) 2017. 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-3-W3-113-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
19 Oct 2017
| 19 Oct 2017
RADIOMETRIC CORRECTION OF MULTITEMPORAL HYPERSPECTRAL UAS IMAGE MOSAICS OF SEEDLING STANDS
L. Markelin
Finnish Geospatial Research Insitute, Geodeetinrinne 2, 02430 Masala, Finland
E. Honkavaara
Finnish Geospatial Research Insitute, Geodeetinrinne 2, 02430 Masala, Finland
R. Näsi
Finnish Geospatial Research Insitute, Geodeetinrinne 2, 02430 Masala, Finland
N. Viljanen
Finnish Geospatial Research Insitute, Geodeetinrinne 2, 02430 Masala, Finland
T. Rosnell
Finnish Geospatial Research Insitute, Geodeetinrinne 2, 02430 Masala, Finland
T. Hakala
Finnish Geospatial Research Insitute, Geodeetinrinne 2, 02430 Masala, Finland
M. Vastaranta
Department of Forest Sciences, University of Helsinki, 00014 Helsinki, Finland
T. Koivisto
Department of Forest Sciences, University of Helsinki, 00014 Helsinki, Finland
M. Holopainen
Department of Forest Sciences, University of Helsinki, 00014 Helsinki, Finland
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Short summary
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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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