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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-3-2024
https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-559-2024
© Author(s) 2024. 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-XLVIII-3-2024-559-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
07 Nov 2024
| 07 Nov 2024
Large-Area UAS-Based Forest Health Monitoring Utilizing a Hydrogen-Powered Airship and Multispectral Imaging
Emma Turkulainen
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute in National Land Survey of Finland (FGI), 02150 Espoo, Finland
Janne Hietala
Kelluu Ltd., Metallimiehentie 4, 80330 Reijola, Finland
Jiri Jormakka
Kelluu Ltd., Metallimiehentie 4, 80330 Reijola, Finland
Johanna Tuviala
School of Forest Sciences, University of Eastern Finland, 80100 Joensuu, Finland
Raquel Alves de Oliveira
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute in National Land Survey of Finland (FGI), 02150 Espoo, Finland
Niko Koivumäki
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute in National Land Survey of Finland (FGI), 02150 Espoo, Finland
Kirsi Karila
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute in National Land Survey of Finland (FGI), 02150 Espoo, Finland
Roope Näsi
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute in National Land Survey of Finland (FGI), 02150 Espoo, Finland
Juha Suomalainen
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute in National Land Survey of Finland (FGI), 02150 Espoo, Finland
Mikko Pelto-Arvo
School of Forest Sciences, University of Eastern Finland, 80100 Joensuu, Finland
Päivi Lyytikäinen-Saarenmaa
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute in National Land Survey of Finland (FGI), 02150 Espoo, Finland
Eija Honkavaara
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute in National Land Survey of Finland (FGI), 02150 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.
G. T. Miyoshi, N. N. Imai, A. M. G. Tommaselli, and E. Honkavaara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W12-2020, 49–54, https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-49-2020, https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-49-2020, 2020
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