Comparing L- and C-band synthetic aperture radar estimates of sea ice motion over different ice regimes

Howell, Stephen E. L.; Komarov, Alexander S.; Dabboor, Mohammed; Montpetit, Benoît; Brady, Michael S.; Scharien, Randall K.; Mahmud, Mallik; Nandan, Vishnu; Geldsetzer, Torsten; Yackel, John J.

doi:10.1016/j.rse.2017.10.017

Cited by 35 publications

(23 citation statements)

References 38 publications

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“…This is because the backscatter coefficient of SAR is sensitive to the surface roughness larger than the wavelength [18] and the wavelength of L-band SAR is close to the surface roughness of deformed ice in the SIZ. The capability of L-band SAR for detecting ice features compared with C-band SAR was confirmed not limited to the midwinter season, but also during the melt season [19], [20]. In fact, the capability of L-band SAR for extracting ridged ice had already been shown for the Beaufort Sea ice at the very early stage of the SAR history [21].…”

Section: Introductionmentioning

confidence: 83%

Measuring Deformed Sea Ice in Seasonal Ice Zones Using L-Band SAR Images

Nose

Ishiyama²,

Kimura

2021

IEEE Trans. Geosci. Remote Sensing

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Section: Introductionmentioning

confidence: 83%

Measuring Deformed Sea Ice in Seasonal Ice Zones Using L-Band SAR Images

Nose

Ishiyama²,

Kimura

2021

IEEE Trans. Geosci. Remote Sensing

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“…Several of these products were intercompared in Sumata et al (2014Sumata et al ( , 2015. High-resolution synthetic-aperture radar (SAR) imagery has also been used to track motion at much finer spatial scales (e.g., Curlander et al, 1985;Kwok et al, 2003;Howell et al, 2018). While high resolution, SAR has had limited spatial and temporal coverage, the data were large and difficult to work with, and reasonable coverage did not start until the mid-1990s.…”

Section: Introductionmentioning

confidence: 99%

An enhancement to sea ice motion and age products at the National Snow and Ice Data Center (NSIDC)

2020

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Abstract. A new version of sea ice motion and age products includes several significant upgrades in processing, corrects known issues with the previous version, and updates the time series through 2018, with regular updates planned for the future. First, we provide a history of these NASA products distributed at the National Snow and Ice Data Center. Then we discuss the improvements to the algorithms, provide validation results for the new (Version 4) and older versions, and intercompare the two. While Version 4 algorithm changes were significant, the impact on the products is relatively minor, particularly for more recent years. The changes in Version 4 reduce motion biases by ∼ 0.01 to 0.02 cm s−1 and error standard deviations by ∼ 0.3 cm s−1. Overall, ice speed increased in Version 4 over Version 3 by 0.5 to 2.0 cm s−1 over most of the time series. Version 4 shows a higher positive trend for the Arctic of 0.21 cm s−1 per decade compared to 0.13 cm s−1 per decade for Version 3. The new version of ice age estimates indicates more older ice than Version 3, especially earlier in the record, but similar trends toward less multiyear ice. Changes in sea ice motion and age derived from the product show a significant shift in the Arctic ice cover, from a pack with a high concentration of older ice to a sea ice cover dominated by first-year ice, which is more susceptible to summer melt. We also observe an increase in the speed of the ice over the time series ≥ 30 years, which has been shown in other studies and is anticipated with the annual decrease in sea ice extent.

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“…The effects for Sentinel-1 are the same for all the images, but the degradation of the ALOS-2 PALSAR-2 is more random and not always pronounced. Howell and others (2018) report problems with the cross-polarization channel though they do not give further details. Here it should be kept in mind that ALOS-2 PALSAR-2 is designed for land observations.…”

Section: Discussionmentioning

confidence: 99%

Comparison of ice/water classification in Fram Strait from C- and L-band SAR imagery

Aldenhoff¹,

Heuzé

Eriksson³

2018

Ann. Glaciol.

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In this paper an algorithm for ice/water classification of C- and L-band dual polarization synthetic aperture radar data is presented. A comparison of the two different frequencies is made in order to investigate the potential to improve classification results with multi-frequency data. The algorithm is based on backscatter intensities in co- and cross-polarization and autocorrelation as a texture feature. The mapping between image features and ice/water classification is made with a neural network. Accurate ice/water maps for both frequencies are produced by the algorithm and the results of two frequencies generally agree very well. Differences are found in the marginal ice zone, where the time difference between acquisitions causes motion of the ice pack. C-band reliably reproduces the outline of the ice edge, while L-band has its strengths for thin ice/calm water areas within the icepack. The classification shows good agreement with ice/water maps derived from met.no ice-charts and radiometer data from AMSR-2. Variations are found in the marginal ice zone where the generalization of the ice charts and lower accuracy of ice concentration from radiometer data introduce deviations. Usage of high-resolution dual frequency data could be beneficial for improving ice cover information for navigation and modelling.

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Comparing L- and C-band synthetic aperture radar estimates of sea ice motion over different ice regimes

Cited by 35 publications

References 38 publications

Measuring Deformed Sea Ice in Seasonal Ice Zones Using L-Band SAR Images

Measuring Deformed Sea Ice in Seasonal Ice Zones Using L-Band SAR Images

An enhancement to sea ice motion and age products at the National Snow and Ice Data Center (NSIDC)

Comparison of ice/water classification in Fram Strait from C- and L-band SAR imagery

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