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Torsten Geldsetzer
University of Calgary
43Publications
12H-index
566Citations
Publications 43
Newest
Published on Feb 18, 2019in Remote Sensing4.12
John J. Yackel20
Estimated H-index: 20
,
Torsten Geldsetzer12
Estimated H-index: 12
+ 4 AuthorsHoi Ming Lam
This research was funded by Canadian NSERC Discovery grants to John Yackel and Randy Scharien as well as Polar Continental Shelf Project and Polar Knowledge Canada support to C.J. Mundy, Brent Else, Randy Scharien and John Yackel. The APC was funded by Canadian NSERC Discovery grants to John Yackel.
Published on Nov 1, 2018in IEEE Transactions on Geoscience and Remote Sensing5.63
Mallik Sezan Mahmud5
Estimated H-index: 5
(U of C: University of Calgary),
Torsten Geldsetzer12
Estimated H-index: 12
(U of C: University of Calgary)
+ 3 AuthorsRandall K. Scharien13
Estimated H-index: 13
(UVic: University of Victoria)
Synthetic aperture radar (SAR) incidence angle has a significant effect on the microwave backscatter from sea ice. This paper investigates the incidence angle dependence of C- and L-band HH-polarized microwave backscatter coefficient over Arctic first-year sea ice (FYI) and multiyear sea ice (MYI) in winter. Advanced Land Observation Satellite Phased Array type L-band SAR (L-band) and RADARSAT-2 (C-band) images are used to derive ice type-specific incidence angle dependencies calculated using li...
Published on Jan 1, 2018in Remote Sensing of Environment8.22
Stephen E. L. Howell21
Estimated H-index: 21
,
Alexander Komarov17
Estimated H-index: 17
+ 7 AuthorsJohn J. Yackel20
Estimated H-index: 20
(U of C: University of Calgary)
Abstract Estimating sea ice motion from synthetic aperture radar (SAR) imagery at C-band is the most reliable approach because of its high spatial resolution and ever increasing temporal resolution given the multiple current and upcoming SAR platforms. However, there is still uncertainty in SAR derived sea ice motion depending on the ice type and its thermodynamic state. There have been suggestions (mostly theoretical) that use of L-band SAR and its inherent longer wavelength (15–30 cm) and subs...
Published on Jan 1, 2018in Remote Sensing of Environment8.22
John J. Yackel20
Estimated H-index: 20
(U of C: University of Calgary),
Vishnu Nandan4
Estimated H-index: 4
(U of C: University of Calgary)
+ 3 AuthorsTorsten Geldsetzer12
Estimated H-index: 12
(U of C: University of Calgary)
Abstract Melt ponds play a significant role in the summer decay of sea ice due to the fact that their albedo is significantly lower than surrounding snow and sea ice surface. Despite its requirement for thermodynamic sea ice modeling, measurement of melt pond areal coverage using satellite remote sensing has proven difficult due to significant spatiotemporal variability in the timing and evolution of melt ponds. Less than optimal results from prior studies employing a spectral mixture analysis (...
Published on Oct 28, 2017in Geophysical Research Letters4.58
Vishnu Nandan4
Estimated H-index: 4
(U of C: University of Calgary),
Torsten Geldsetzer12
Estimated H-index: 12
(U of C: University of Calgary)
+ 6 AuthorsBrent Else19
Estimated H-index: 19
(U of C: University of Calgary)
Published on Oct 17, 2017in Geophysical Research Letters4.58
Vishnu Nandan4
Estimated H-index: 4
(U of C: University of Calgary),
Torsten Geldsetzer12
Estimated H-index: 12
(U of C: University of Calgary)
+ 6 AuthorsBrent Else19
Estimated H-index: 19
(U of C: University of Calgary)
The European Space Agency's CryoSat-2 satellite mission provides radar altimeter data that are used to derive estimates of sea ice thickness and volume. These data are crucial to understanding recent variability and changes in Arctic sea ice. Sea ice thickness retrievals at the CryoSat-2 frequency require accurate measurements of sea ice freeboard, assumed to be attainable when the main radar scattering horizon is at the snow/sea ice interface. Using an extensive snow thermophysical property dat...
Published on Sep 1, 2017in Remote Sensing of Environment8.22
Jiacheng Zheng1
Estimated H-index: 1
(U of C: University of Calgary),
Torsten Geldsetzer12
Estimated H-index: 12
(U of C: University of Calgary),
John J. Yackel20
Estimated H-index: 20
(U of C: University of Calgary)
Abstract The snow cover on first-year sea ice plays a paramount role in thermodynamics by modulating sea ice ablation and accretion processes. However, meteoric accumulation and redistribution of snow on first-year sea ice is highly stochastic over space and time, which makes it a poorly understood parameter. In this study, a region of late-winter snow thickness on first-year sea ice in the Canadian Arctic Archipelago is estimated using time series spaceborne C-band microwave scatterometer and o...
Published on Sep 1, 2017in Remote Sensing of Environment8.22
Vishnu Nandan4
Estimated H-index: 4
(U of C: University of Calgary),
Randall K. Scharien13
Estimated H-index: 13
(UVic: University of Victoria)
+ 7 AuthorsClaude R. Duguay29
Estimated H-index: 29
(UW: University of Waterloo)
Abstract This study investigates changes in Ku-, X- and C-band microwave backscatter, co-polarized ratio and dual-frequency ratios, to changes in in - situ measured snow thermophysical properties, driven by surface radiation measurements, during a 7-day transition from late winter to pre-early melt on a highly saline snow cover on smooth first-year ice. A surface-based Ku-, X- and C-band microwave scatterometer system is used near coincident with in-situ thermophysical snow measurements. A frequ...
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