Articles | Volume 16, issue 11
https://doi.org/10.5194/essd-16-5069-2024
https://doi.org/10.5194/essd-16-5069-2024
Data description paper
 | 
05 Nov 2024
Data description paper |  | 05 Nov 2024

A spectral–structural characterization of European temperate, hemiboreal, and boreal forests

Miina Rautiainen, Aarne Hovi, Daniel Schraik, Jan Hanuš, Petr Lukeš, Zuzana Lhotáková, and Lucie Homolová

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Cited articles

Aalto, J., Aalto, P., Keronen, P., Kolari, P., Rantala, P., Taipale, R., Kajos, M., Patokoski, J., Rinne, J., Ruuskanen, T., Leskinen, M., Laakso, H., Levula, J., Pohja, T., Siivola, E., Kulmala, M., and Ylivinkka, I.: SMEAR II Hyytiälä forest meteorology, greenhouse gases, air quality and soil, University of Helsinki, Institute for Atmospheric and Earth System Research [data set], https://doi.org/10.23729/23dd00b2-b9d7-467a-9cee-b4a122486039, 2023. 
Fassnacht, F., White, J., Wulder, M., and Næsset, E.: Remote sensing in forestry: current challenges, considerations and directions, Forestry, 97, 11–37, https://doi.org/10.1093/forestry/cpad024, 2024. 
Gastellu-Etchegorry, J., Demarez, V., Pinel, V., and Zagolski, F.: Modeling radiative transfer in heterogeneous 3-D vegetation canopies, Remote Sens. Environ., 58, 131–156, https://doi.org/10.1016/0034-4257(95)00253-7, 1996. 
Gobron, N., Lanconelli, C., Urraca Valle, R., and Govaerts, Y.: RAMI workshop – Radiative transfer modelling support to EO metrology and Cal/Val activities. European Commission, Joint Research Centre, Publications Office of the European Union, https://doi.org/10.2760/23274 (last access: 11 April 2024), 2023. 
Hanuš, J., Slezák, L., Fabiánek, T., Fajmon, L., Hanousek, T., Janoutová, R., Kopkáně, D., Novotný, J., Pavelka, K., Pikl, M., Zemek, F., and Homolová, L.: Flying Laboratory of Imaging Systems: Fusion of Airborne Hyperspectral and Laser Scanning for Ecosystem Research, Remote Sens.-Basel, 15, 3130, https://doi.org/10.3390/rs15123130, 2023. 
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Short summary
Radiative transfer models play a key role in monitoring vegetation using remote sensing data such as satellite or airborne images. The development of these models has been hindered by a lack of comprehensive ground reference data on structural and spectral characteristics of forests. Here, we reported datasets on the structural and spectral properties of temperate, hemiboreal, and boreal European forest stands. We anticipate that these data will have wide use in remote sensing applications.
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