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Publications about 'terrestrial snow'
Articles in journal or book chapters
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Marcel Stefko,
Silvan Leinss,
Othmar Frey,
and Irena Hajnsek.
Coherent backscatter enhancement in bistatic Ku-/X-band radar observations of dry snow.
The Cryosphere,
16(7):2859-2879,
2022.
Keyword(s): SAR Processing,
Snow,
Coherent backscatter enhancement,
bistatic,
bistatic SAR,
Ku-band,
X-band,
radar,
dry snow.
[Abstract]
[bibtex-entry]
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J.M.L. King,
R. Kelly,
A. Kasurak,
C. Duguay,
G. Gunn,
and J.B. Mead.
UW-Scat: A Ground-Based Dual-Frequency Scatterometer for Observation of Snow Properties.
IEEE Geosci. Remote Sens. Lett.,
10(3):528-532,
May 2013.
Keyword(s): geophysical equipment,
snow,
AD 2009 to 2011,
Canada,
Canadian Subarctic,
Churchill,
UW-Scat scatterometer,
University of Waterloo scatterometer,
angular width,
azimuth user-programmable range,
elevation angle,
frequency 17.2 GHz,
frequency 9.6 GHz,
frequency-modulated continuous-wave radars,
ground-based dual-frequency scatterometer,
harsh environmental conditions,
ice property observation,
radar beam,
snow property observation,
terrestrial snow,
two-axis positioning system,
Backscatter,
Calibration,
Ice,
Radar measurements,
Radio frequency,
Snow,
Spaceborne radar,
Radar polarimetry,
scatterometer,
snow.
[Abstract]
[bibtex-entry]
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Simon H. Yueh,
Steve J. Dinardo,
Ahmed Akgiray,
Richard West,
Donald W. Cline,
and Kelly Elder.
Airborne Ku-Band Polarimetric Radar Remote Sensing of Terrestrial Snow Cover.
IEEE Transactions on Geoscience and Remote Sensing,
47(10):3347-3364,
October 2009.
Keyword(s): snow,
ku-band,
airborne radar,
backscatter,
hydrological techniques,
ice,
radar cross-sections,
radar polarimetry,
remote sensing by radar,
snow,
vegetation,
AD 2006 to 2008,
CLPX-II,
Cold Land Processes Experiment,
Colorado,
HH/VV backscatter ratio,
Ku-band polarimetric scatterometer,
POLSCAT data acquisition,
USA,
airborne Ku-band polarimetric radar,
biomass,
freeze-thaw cycles,
ice crust layers,
ice lenses,
radar echoes,
radar signals,
radiative transfer scattering model,
remote sensing,
snow-grain size,
snow-water-equivalent accumulation,
snowpack change,
surface hoar growth,
terrestrial snow cover,
vegetation types,
Microwave remote sensing,
radar,
snow.
[Abstract]
[bibtex-entry]
-
V.I. Lytle and K.C. Jezek.
Dielectric permittivity and scattering measurements of Greenland firn at 26.5-40 GHz.
IEEE Transactions on Geoscience and Remote Sensing,
32(2):290-295,
March 1994.
Keyword(s): Radar,
Radar Remote Sensing,
Microwave Remote Sensing,
Dielectric permittivity,
scattering measurements,
Greenland firn,
firn,
Greenland,
26.5-40 GHz,
Ka-band,
snow,
remote sensing of snow.
[Abstract]
[bibtex-entry]
Conference articles
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Haokui Xu,
Leung Tsang,
and Xiaolan Xu.
Tomography imaging of terrestrial snow for SWE retrieval using frequency-angular correlation functions and asymmetrical distorted Born's approximation.
In Proc. IEEE Int. Geosci. Remote Sens. Symp.,
pages 4557-4558,
July 2022.
[Abstract]
[bibtex-entry]
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C. Derksen,
J. King,
S. Belair,
C. Garnaud,
V. Vionnet,
V Fortin,
J. Lemmetyinen,
Y. Crevier,
P. Plourde,
B. Lawrence,
H. van Mierlo,
G. Burbidge,
and P. Siqueira.
Development of the Terrestrial Snow Mass Mission.
In Proc. IEEE Int. Geosci. Remote Sens. Symp.,
pages 614-617,
July 2021.
IEEE.
Keyword(s): Radar Remote Sensing,
snow,
Terrestrial Snow Mass Mission,
TSMM,
Ku-band,
Ka-band.
[Abstract]
[bibtex-entry]
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X. Xu,
C. A. Baldi,
J. De Bleser,
Y. Lei,
S. Yueh,
and D. Esteban-Fernandez.
Multi-Frequency Tomography Radar Observations of Snow Stratigraphy at Fraser During SnowEx.
In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium,
pages 6269-6272,
July 2018.
Keyword(s): CW radar,
FM radar,
geophysical signal processing,
hydrological techniques,
radar polarimetry,
radar signal processing,
remote sensing by radar,
snow,
signal processing algorithm,
snow free image,
snow density,
ground snow pit measurement,
radar design,
snow layer,
multiple viewing positions,
radar echo,
tomography technique,
radar channel,
three-dimensional variability,
fully polarimetric frequency-modulated continuous-wave radar,
triple-frequency,
2017 NASA SnowEx campaign,
Earth's terrestrial snow-covered regions,
multiyear airborne snow campaign,
Fraser,
snow stratigraphy,
multifrequency tomography radar observations,
frequency 17.2 GHz,
size 30.0 cm,
frequency 9.6 GHz,
frequency 13.5 GHz,
Snow,
Tomography,
Synthetic aperture radar,
Radar polarimetry,
Spaceborne radar,
Radar imaging,
tomography,
snow,
FMCW radar,
SWE.
[Abstract]
[bibtex-entry]
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Ludovic Brucker,
Christopher Hiemstra,
Hans-Peter Marshall,
Kelly Elder,
Roger De Roo,
Mohammad Mousavi,
Francis Bliven,
Walt Peterson,
Jeffrey Deems,
Peter Gadomski,
Arthur Gelvin,
Lucas Spaete,
Theodore Barnhart,
Ty Brandt,
John Burkhart,
Christopher Crawford,
Tri Datta,
Havard Erikstrod,
Nancy Glenn,
Katherine Hale,
Brent Holben,
Paul Houser,
Keith Jennings,
Richard Kelly,
Jason Kraft,
Alexandre Langlois,
Daniel McGrath,
Chelsea Merriman,
Noah Molotch,
Anne Nolin,
Chris Polashenski,
Mark Raleigh,
Karl Rittger,
Chago Rodriguez,
Alexandre Roy,
McKenzie Skiles,
Eric Small,
Marco Tedesco,
Chris Tennant,
Aaron Thompson,
Liuxi Tian,
Zach Uhlmann,
Ryan Webb,
and Matt Wingo.
A first overview of SnowEx ground-based remote sensing activities during the winter 2016-2017.
In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS),
pages 1391-1394,
July 2017.
[Abstract]
[bibtex-entry]
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Please note that access to full text PDF versions of papers is restricted to the Chair of Earth Observation and Remote Sensing, Institute of Environmental Engineering, ETH Zurich.
Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to
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This collection of SAR literature is far from being complete. It is rather a collection of papers which I store in my literature data base. Hence, the list of publications under PUBLICATIONS OF AUTHOR'S NAME
should NOT be mistaken for a complete bibliography of that author.
Last modified: Fri Feb 24 14:25:20 2023
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .
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