Articles | Volume 14, issue 9
https://doi.org/10.5194/essd-14-3915-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-3915-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
01 Sep 2022
Data description paper |
| 01 Sep 2022
| 01 Sep 2022
Airborne SnowSAR data at X and Ku bands over boreal forest, alpine and tundra snow cover
Finnish Meteorological Institute, Helsinki, Finland
Juval Cohen
Finnish Meteorological Institute, Helsinki, Finland
Anna Kontu
Finnish Meteorological Institute, Helsinki, Finland
Juho Vehviläinen
Finnish Meteorological Institute, Helsinki, Finland
Henna-Reetta Hannula
Finnish Meteorological Institute, Helsinki, Finland
Ioanna Merkouriadi
Finnish Meteorological Institute, Helsinki, Finland
Stefan Scheiblauer
ENVEO IT GmbH, Innsbruck, Austria
ENVEO IT GmbH, Innsbruck, Austria
Thomas Nagler
ENVEO IT GmbH, Innsbruck, Austria
Elisabeth Ripper
ENVEO IT GmbH, Innsbruck, Austria
Kelly Elder
Rocky Mountain Research Station, US Forest Service, Fort Collins, CO,
USA
Hans-Peter Marshall
Department of Geosciences, Boise State Univ., Boise, ID, USA
Reinhard Fromm
Department of Natural Hazards, Austrian Research Centre for Forests
(BFW), Innsbruck, Austria
Marc Adams
Department of Natural Hazards, Austrian Research Centre for Forests
(BFW), Innsbruck, Austria
Environment and Climate Change Canada, Climate Research Division,
Toronto, Ontario M3H5T4, Canada
Joshua King
Environment and Climate Change Canada, Climate Research Division,
Toronto, Ontario M3H5T4, Canada
Adriano Meta
CORRESPONDING AUTHOR
Metasensing BV, Noordwijk, the Netherlands
Alex Coccia
Metasensing BV, Noordwijk, the Netherlands
Nick Rutter
Department of Geography and Environmental Sciences, Northumbria University, Newcastle upon Tyne, UK
Melody Sandells
Department of Geography and Environmental Sciences, Northumbria University, Newcastle upon Tyne, UK
Giovanni Macelloni
Institute of Applied Physics “Nello Carrara”, Florence, Italy
Emanuele Santi
Institute of Applied Physics “Nello Carrara”, Florence, Italy
Marion Leduc-Leballeur
Institute of Applied Physics “Nello Carrara”, Florence, Italy
Richard Essery
School of Geosciences, University of Edinburgh, Edinburgh, UK
Cecile Menard
School of Geosciences, University of Edinburgh, Edinburgh, UK
Michael Kern
European Space Research and Technology Center, European Space Agency, Noordwijk, the Netherlands
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Cited
4 citations as recorded by crossref.
- X- and Ku-Band SAR Backscattering Signatures of Snow-Covered Lake Ice and Sea Ice K. Veijola et al. 10.3390/rs16020369
- Bayesian physical–statistical retrieval of snow water equivalent and snow depth from X- and Ku-band synthetic aperture radar – demonstration using airborne SnowSAr in SnowEx'17 S. Singh et al. 10.5194/tc-18-747-2024
- Airborne SnowSAR data at X and Ku bands over boreal forest, alpine and tundra snow cover J. Lemmetyinen et al. 10.5194/essd-14-3915-2022
- Review article: Global monitoring of snow water equivalent using high-frequency radar remote sensing L. Tsang et al. 10.5194/tc-16-3531-2022
2 citations as recorded by crossref.
- X- and Ku-Band SAR Backscattering Signatures of Snow-Covered Lake Ice and Sea Ice K. Veijola et al. 10.3390/rs16020369
- Bayesian physical–statistical retrieval of snow water equivalent and snow depth from X- and Ku-band synthetic aperture radar – demonstration using airborne SnowSAr in SnowEx'17 S. Singh et al. 10.5194/tc-18-747-2024
2 citations as recorded by crossref.
Discussed (final revised paper)
Latest update: 19 Apr 2024
Short summary
The manuscript describes airborne, dual-polarised X and Ku band synthetic aperture radar (SAR) data collected over several campaigns over snow-covered terrain in Finland, Austria and Canada. Colocated snow and meteorological observations are also presented. The data are meant for science users interested in investigating X/Ku band radar signatures from natural environments in winter conditions.
The manuscript describes airborne, dual-polarised X and Ku band synthetic aperture radar (SAR)...
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Final-revised paper
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