Schraik, Daniel
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Corrigendum to 'Quantifying stand-level clumping of boreal,..:

Schraik, Daniel ; Wang, Di ; Hovi, Aarne.
Agricultural and Forest Meteorology.  355 (2024)  - p. 110131 , 2024
 
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Quantifying stand-level clumping of boreal, hemiboreal and ..:

Schraik, Daniel ; Wang, Di ; Hovi, Aarne.
Agricultural and Forest Meteorology.  339 (2023)  - p. 109564 , 2023
 
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Avoimia spektrikirjastoja Suomen metsistä:

Rautiainen, Miina ; Hovi, Aarne ; Kuusinen, Nea...
Metsätieteen aikakauskirja.  2022 (2022)  - p. , 2022
 
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Assessment of a photon recollision probability based forest..:

Hovi, Aarne ; Schraik, Daniel ; Hanuš, Jan...
Remote Sensing of Environment.  269 (2022)  - p. 112804 , 2022
 
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Direct estimation of photon recollision probability using t..:

Wang, Di ; Schraik, Daniel ; Hovi, Aarne.
Remote Sensing of Environment.  247 (2020)  - p. 111932 , 2020
 
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Bayesian inversion of a forest reflectance model using Sent..:

Schraik, Daniel ; Varvia, Petri ; Korhonen, Lauri.
Journal of Quantitative Spectroscopy and Radiative Transfer.  233 (2019)  - p. 1-12 , 2019
 
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Quantifying stand-level clumping of boreal, hemiboreal and ..:

Schraik, Daniel ; Wang, Di ; Hovi, Aarne.
info:eu-repo/grantAgreement/EC/H2020/771049/EU//FREEDLES Funding Information: D.S., A.H. and M.R. received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 771049 ). The article reflects only the authors' view and the Agency is not responsible for any use that may be made of the information it contains. D.W. acknowledges funding from the National Key R&D Program of China ( 2021YFF0704600 ) and the National Natural Science Foundation of China (Grant 42101330 ). We thank Lucie Homolová, Růžena Janoutová, Jussi Juola, Mihkel Kaha, Bijay Karki, Lauri Korhonen, Mait Lang, Petr Lukeš, Titta Majasalmi, Jan Pisek, Andre Purret, Ville Ranta, and the staff of Hyytiälä forestry field station for their assistance in different stages of field work and data processing. We acknowledge the resources provided by the Finnish IT Center for Science (CSC) for ena....  , 2023
 
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Synergistic use of multi- and hyperspectral remote sensing ..:

Hovi, Aarne ; Schraik, Daniel ; Kuusinen, Nea...
info:eu-repo/grantAgreement/EC/H2020/771049/EU//FREEDLES Funding Information: We thank Juho Antikainen, Lukáš Fajmon, Petri Forsström, Karel Holouš, Mihkel Kaha, Bijay Karki, Lauri Korhonen, Andres Kuusk, Mait Lang, Titta Majasalmi, Jan Pisek, Ville Ranta, and the staff of the Hyytiälä forestry field station for their assistance in the field and airborne campaigns and data preprocessing. The study was carried out using PRISMA Products, © of the Italian Space Agency (ASI), delivered under an ASI License to use. This study has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme [grant agreement No 771049]. The text reflects only the authors' view and the Agency is not responsible for any use that may be made of the information it contains. This study was also funded by the Academy of Finland grant DIMEBO [grant number 323004]. Funding Information: We thank Juho ....  , 2023
 
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Assessment of a photon recollision probability based forest..:

Hovi, Aarne ; Schraik, Daniel ; Hanuš, Jan...
info:eu-repo/grantAgreement/EC/H2020/771049/EU//FREEDLES Funding Information: We would like to thank Tomáš Fabiánek for significant contributions in airborne data processing. Thanks also to Lukáš Fajmon, Petri Forsström, Karel Holouš, Mihkel Kaha, Bijay Karki, Lauri Korhonen, Nea Kuusinen, Andres Kuusk, Titta Majasalmi, Matti Mõttus, Ville Ranta, and the staff of Hyytiälä forestry field station for assistance and comments in various stages of field work, data processing, and interpretation. This study has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 771049). The text reflects only the authors' view and the Agency is not responsible for any use that may be made of the information it contains. This study was also funded by the Academy of Finland grants BOREALITY (286390) and DIMEBO (323004). This study was also supported....  , 2022
 
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