Comparing C- and L-band SAR images for sea ice motion estimation

Lehtiranta, Jonni; Siiriä, Simo-Matti; Karvonen, Juha

doi:10.5194/tc-9-357-2015

Cited by 27 publications

(17 citation statements)

References 12 publications

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“…Results by [14] indicate that L-band based drift estimates are superior to C-band image estimates. However, inclusion of large proportions of multi-year ice or open ice with less than 30 % sea ice might affect these results ( Fig.…”

Section: Seasonal Drift Comparisonmentioning

confidence: 96%

“…5a and b). Moreover, [14] argue that multi-year ice inclusions as well as sea ice concentrations below 60% may affect the L-band estimates unfavourably.…”

Section: A Drift Speed Comparisonmentioning

confidence: 99%

“…Both methods are however frequently validated against ice buoy measurements [12], [10], [22], [17]. Moreover, SAR images acquired in different frequency bands are compared and combined to derive drift [14]. More comprehensive studies comparing ice drift products from many sensors are however missing.…”

Section: Introductionmentioning

confidence: 99%

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Agreement and Complementarity of Sea Ice Drift Products

Johansson

Berg

2016

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Changes in Arctic sea ice has raised questions about changes in sea ice drift patterns. Reduced sea ice coverage may open up the Arctic to further exploration of maritime activities, particularly during the summer months. Given such changes it is important to investigate differences between available sea ice drift products. Products based on synthetic aperture radar (SAR), radar scatterometer and radiometer are compared for both motion speed and direction within this study. Two Cband SAR and one L-band SAR product are used in the comparison. Differences in temporal and spatial resolutions of the drift estimates spanning from July 2010 until June 2011 are investigated. High temporal and spatial resolution was proven useful to fully capture the sea ice drift in the Fram Strait. For summer coverage, SAR data is a prerequisite and L-band is desirable. The two C-band SAR products have a mean speed correlation of 0.90 and exhibit high conformity, despite being generated by separate processing methods. The L-band SAR product and the scatterometer and radiometer products are to a lower degree in agreement with each other and the C-band SAR products, which may be attributed to the products' dependency on the temporal baseline. Depending on the choice of sensor or combination of sensors, the resulting twelve-month mean drift varies between 0.09 and 0.12 m/s excluding L-band SAR. The latter shows a particularly low drift of 0.05 m/s, which we attribute to an overrepresentation of slow ice.

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Section: Seasonal Drift Comparisonmentioning

confidence: 96%

“…5a and b). Moreover, [14] argue that multi-year ice inclusions as well as sea ice concentrations below 60% may affect the L-band estimates unfavourably.…”

Section: A Drift Speed Comparisonmentioning

confidence: 99%

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Agreement and Complementarity of Sea Ice Drift Products

Johansson

Berg

2016

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…SAR is widely used based on its all season capability for sea ice monitoring and C-band SAR has traditionally been used to monitor both sea ice extent, concentration, and drift speed [e.g., Walker et al, 2006;Maillard et al, 2005;Karvonen et al, 2007]. Work by Dierking and Busche [2006], Eriksson et al [2010] and Lehtiranta et al [2015] has identified that other SAR frequencies can contribute important information for sea ice classification. Sea ice studies comparing backscatter signatures using multiple frequencies have been carried out by Drinkwater et al [1991], Beaven et al [1993], Eriksson et al [2010], Dierking [2010aDierking [ , 2010b, Brath et al [2013], , and .…”

Section: Introductionmentioning

confidence: 99%

Combined observations of Arctic sea ice with near‐coincident colocated X‐band, C‐band, and L‐band SAR satellite remote sensing and helicopter‐borne measurements

et al. 2017

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In this study, we compare colocated near‐coincident X‐, C‐, and L‐band fully polarimetry SAR satellite images with helicopter‐borne ice thickness measurements acquired during the Norwegian Young sea ICE 2015 (N‐ICE2015) expedition in the region of the Arctic Ocean north of Svalbard in April 2015. The air‐borne surveys provide near‐coincident snow plus ice thickness, surface roughness data, and photographs. This unique data set allows us to investigate how the different frequencies can complement one another for sea ice studies, but also to raise awareness of limitations. X‐band and L‐band satellite scenes were shown to be a useful complement to the standard SAR frequency for sea ice monitoring (C‐band) for lead ice and newly formed sea ice identification. This may be in part be due to the frequency but also the high spatial resolution of these sensors. We found a relatively low correlation between snow plus ice thickness and surface roughness. Therefore, in our dataset ice thickness cannot directly be observed by SAR which has important implications for operational ice charting based on automatic segmentation.

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“…Wang and others, 2017) and sea-ice drift estimation (e.g. Korosov and Rampal, 2017; Lehtiranta and others, 2015). C-band (wavelength 3.75–7.5 cm) is the preferred frequency used for operational monitoring of sea ice with SAR as it offers good discrimination between ice types and ice water contrast during summer (Carsey, 1992; Geldsetzer and others, 2015).…”

Section: Introductionmentioning

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 C- and L-band SAR images for sea ice motion estimation

Cited by 27 publications

References 12 publications

Agreement and Complementarity of Sea Ice Drift Products

Agreement and Complementarity of Sea Ice Drift Products

Combined observations of Arctic sea ice with near‐coincident colocated X‐band, C‐band, and L‐band SAR satellite remote sensing and helicopter‐borne measurements

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

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