2017
DOI: 10.1109/tgrs.2017.2677583
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Retrievals of Lake Ice Thickness From Great Slave Lake and Great Bear Lake Using CryoSat-2

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Cited by 33 publications
(53 citation statements)
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“…2, leading to the actual waveforms (see Figs. 3 and 4) characterized by two peaks separated by a number of gates (equivalent to offset in vertical height) during ice seasons, as shown in the CryoSat-2 waveforms [21]. However, there are differences between the T/P family (see Figs.…”
Section: Methodology a Seasonally Ice-covered Lakes: Altimetricmentioning
confidence: 94%
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“…2, leading to the actual waveforms (see Figs. 3 and 4) characterized by two peaks separated by a number of gates (equivalent to offset in vertical height) during ice seasons, as shown in the CryoSat-2 waveforms [21]. However, there are differences between the T/P family (see Figs.…”
Section: Methodology a Seasonally Ice-covered Lakes: Altimetricmentioning
confidence: 94%
“…CryoSat-2 altimetric waveforms exhibit double peaks during ice-covered seasons in Arctic lakes [21]. We show the annual change in the waveform composition for conventional nadir pointing altimeters by reference to the T/P mission series.…”
Section: Methodology a Seasonally Ice-covered Lakes: Altimetricmentioning
confidence: 99%
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“…The authors proposed simple linear regression equations to estimate ice thickness for the lakes using 18.7 GHz V-pol data (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009), while the estimated ice thicknesses compared favorably with in situ measurements (Mean Bias Error, MBE, 6 cm; Root Mean Square Error, RMSE, 19 cm). Beckers et al [89] explored waveforms from CryoSat-2 Ku-band radar altimetry to estimate ice thickness also on GBL and GSL. Their study obtained ice thickness estimates with RMSE of 33 cm when compared to in-situ measurements obtained at GSL.…”
Section: Lake Ice Covermentioning
confidence: 99%