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Estimation of snow water equivalent and snow depth from SSM/I data for boreal forests of Canada, Finland and Russia

Referentgranskad
Pulliainen, Jouni; Takala, Matias; Hallikainen, Martti
-2001Publicationer information ikon

Inter-comparisons of Arctic snow depth products

Referentgranskad
Öppen tillgång
DOI
10.1080/17538947.2024.2376286
Li, Mengmeng; Ke, Changqing; Cheng, Bin; Ma, Jianwei; Jiang, Huiwei; Shen, Xiaoyi
International journal of digital earth2024Publicationer information ikon

Improving snow depth estimation by coupling HUT-optimized effective snow grain size parameters with the random forest approach

Referentgranskad
DOI
10.1016/j.rse.2021.112630
Yang, J.W.; Jiang, L.M.; Lemmetyinen, J.; Pan, J.M.; Luojus, K.; Takala, M.
Remote sensing of environment2021Publicationer information ikon

Measuring the spatiotemporal variability in snow depth in subarctic environments using UASs – Part 2: Snow processes and snow–canopy interactions

Referentgranskad
Öppen tillgång
DOI
10.5194/tc-17-4363-2023
Meriö, Leo-Juhani; Rauhala, Anssi; Ala-aho, Pertti; Kuzmin, Anton; Korpelainen, Pasi; Kumpula, Timo;...
Cryosphere2023Publicationer information ikon

Wet Snow Depth from Tandem-X Single-Pass Insar Dem Differencing

Referentgranskad
Öppen tillgång
DOI
10.1109/IGARSS.2018.8518661
Leinss, Silvan; Antropov, Oleg; Vehvilainen, Juho; Lemmetyinen, Juha; Hajnsek, Irena; Praks, Jaan
IEEE International Symposium on Geoscience and Remote Sensing IGARSS2018Publicationer information ikon

Machine learning model for snow depth estimation using a multisensory ubiquitous platform

Referentgranskad
Öppen tillgång
DOI
10.1007/s11629-021-7186-4
Nasim, Sofeem; Oussalah, Mourad; Klöve, Björn; Haghighi, Ali Torabi
Journal of mountain science2022Publicationer information ikon

Snow cover trends in Finland over 1961-2014 based on gridded snow depth observations

Referentgranskad
Öppen tillgång
DOI
10.1002/joc.6007
Luomaranta, Anna M; Aalto, Juha; Jylhä, Kirsti
International journal of climatology2019Publicationer information ikon

Measurement of Snow-Depth Using Frequency Modulated Continuous Wave Radar Sensors

Referentgranskad
Öppen tillgång
DOI
10.18178/ijeee.7.3.43-47
Tarvainen, Henry; Tolppanen, Eemeli; Selkivaara, Petri; Kanth, Rajeev; Toppinen, Arto; Heikkonen, Ju...
International Journal of Electronics and Electrical Engineering2019Publicationer information ikon

Application of a snow cover model (SNTHERM) to analyze snow depth and snow temperature data from southern Finland

Referentgranskad
Koivusalo, Harri; Burges, S.J.
AMERICAN GEOPHYSICAL UNION1996Publicationer information ikon

Artificial neutral network-based techniques for the retrieval of SWE and snow depth from SSM/I data

Referentgranskad
Tedesco, M.; Pulliainen, Jouni; Takala, M.; Hallikainen, Martti; Pampaloni, P.
Remote Sensing of Environment2004

Estimation of snow water equivalent and snow depth from SSM/I data for boreal forests of Canada, Finland and Russia

Referentgranskad
2001

Inter-comparisons of Arctic snow depth products

Referentgranskad
Öppen tillgång
DOI
10.1080/17538947.2024.2376286
2024

Improving snow depth estimation by coupling HUT-optimized effective snow grain size parameters with the random forest approach

Referentgranskad
DOI
10.1016/j.rse.2021.112630
2021

Measuring the spatiotemporal variability in snow depth in subarctic environments using UASs – Part 2: Snow processes and snow–canopy interactions

Referentgranskad
Öppen tillgång
DOI
10.5194/tc-17-4363-2023
2023

Wet Snow Depth from Tandem-X Single-Pass Insar Dem Differencing

Referentgranskad
Öppen tillgång
DOI
10.1109/IGARSS.2018.8518661
2018

Machine learning model for snow depth estimation using a multisensory ubiquitous platform

Referentgranskad
Öppen tillgång
DOI
10.1007/s11629-021-7186-4
2022

Snow cover trends in Finland over 1961-2014 based on gridded snow depth observations

Referentgranskad
Öppen tillgång
DOI
10.1002/joc.6007
2019

Measurement of Snow-Depth Using Frequency Modulated Continuous Wave Radar Sensors

Referentgranskad
Öppen tillgång
DOI
10.18178/ijeee.7.3.43-47
2019

Application of a snow cover model (SNTHERM) to analyze snow depth and snow temperature data from southern Finland

Referentgranskad
1996

Artificial neutral network-based techniques for the retrieval of SWE and snow depth from SSM/I data

Referentgranskad
2004