Arctic sea ice drift from wavelet analysis of NSCAT and special sensor microwave imager data

Liu, Antony K.; Zhao, Yunhe; Wu, Shuying

doi:10.1029/1998jc900115

Cited by 47 publications

(49 citation statements)

References 20 publications

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“…The effect of this wavelet transform is essentially a spatial band-pass filter, set with a threshold limit to detect features of a chosen physical scale in the ice signature. Once the features are located for each day, localized template matching (e.g., 10 pixels) is used to identify (through minimization) similar band-passed features between two chosen scenes [Liu et al, 1999]. For the Arctic, daily scenes are available, but the template matching and resultant displacements are based on scenes that are 4 days apart.…”

Section: Ssm/i Preprocessingmentioning

confidence: 99%

Large‐scale comparison between buoy and SSM/I drift and deformation in the Eurasian Basin during winter 1992–1993

Geiger¹,

Zhao²,

Liu³

et al. 2000

J. Geophys. Res.

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Section: Ssm/i Preprocessingmentioning

confidence: 99%

Large‐scale comparison between buoy and SSM/I drift and deformation in the Eurasian Basin during winter 1992–1993

Geiger¹,

Zhao²,

Liu³

et al. 2000

J. Geophys. Res.

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“…Another methodology that has been applied to the same problem is the wavelet approach, [8][9][10] where wavelets implement the Laplacian (or "Mexican Hat") filter to an image, producing features that are tracked by template matching. This method also determines motion to an implicit scale determined by the support of the Laplacian filter and the peculiarities of the template matching stage.…”

Section: Existing Methodologymentioning

confidence: 99%

Application of optical flow and scale space methods to sea ice motion in Antarctica

Gutiérrez

Long

2003

SPIE Proceedings

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Methods from computer vision and scale-space theory are applied to the study of sea-ice motion in Antarctica. The input data is a sequence of daily images of the continent, obtained from scatterometer data and processed with a resolution enhancing algorithm. The information contained in these images can be studied at different scales when the appropriate filters are applied. Large scales omit detail and smoothen local variations of intensity while smaller scales show much detail and local variation. When motion is studied through different scales, different patterns might be observed. We assume that all the information coded in these images is the radar backscatter, and that it is closely coupled with advection. The Optical Flow method is used to obtain a dense vector field representing sea-ice motion, the method's limitations are overcome by adding second order constraints to the main equation and through the use of large neighborhoods to normalize the direction of flow.Validation of results has been done to the extent possible, taking into account that there is practically no ground-truth data available for Antarctica in the form of buoy-data. Sea-ice motion results are displayed along available ocean surface wind data, observing a clear consistency along the ocean-ice border. The results are compared to existing studies applying wavelets and it is shown that differences can be explained by the fact that each method is observing motion at a different scale.

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“…Ice velocity fields are important for estimating heat flux between the ocean and atmosphere, as well as the sea ice mass balance through estimates of ice deformation and growth. Motion fields have been derived using scatterometer data with algorithms based on wavelet analysis (Liu et al 1999), and ice motion from scatterometer data has been validated by Zhao et al (2002). Several new scatterometer missions are planned in the future, allowing sea ice monitoring by scatterometers to be an operational service.…”

Section: Scatterometer Observations Of Sea Icementioning

confidence: 99%

Sea Ice Monitoring by Remote Sensing

Sandven¹,

Johannessen²,

Kloster³

2000

Encyclopedia of Analytical Chemistry

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Sea ice is defined as ice which is formed as a result of freezing of seawater. Sea ice occurs at the surface of the ocean in areas where the surface temperature is cooled to the freezing point, which is about −1.8°C for sea water with a salinity of about 35 parts per thousand. Ice formed in lakes and rivers and icebergs coming from glaciers and ice sheets are not defined as sea ice. Monitoring by remote sensing is defined as any measurement technique which can be used to observe sea ice repeatedly by instruments on board earth observation satellites. Monitoring also includes the process of making observational data available for users a short time after the observations have been obtained (i.e. a few hours). Remote sensing of ice can also be done with aircraft, submarines and other vehicles, but these techniques are not discussed in this article.

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Arctic sea ice drift from wavelet analysis of NSCAT and special sensor microwave imager data

Cited by 47 publications

References 20 publications

Large‐scale comparison between buoy and SSM/I drift and deformation in the Eurasian Basin during winter 1992–1993

Large‐scale comparison between buoy and SSM/I drift and deformation in the Eurasian Basin during winter 1992–1993

Application of optical flow and scale space methods to sea ice motion in Antarctica

Sea Ice Monitoring by Remote Sensing

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