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The Cryosphere An interactive open-access journal of the European Geosciences Union
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https://doi.org/10.5194/tc-2020-180
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-2020-180
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  21 Jul 2020

21 Jul 2020

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This discussion paper is a preprint. It has been under review for the journal The Cryosphere (TC). The manuscript was not accepted for further review after discussion.

SAR image observations of the A-68 iceberg drift

Ludwin Lopez-Lopez1, Flavio Parmiggiani2, Miguel Moctezuma-Flores1, and Lorenzo Guerrieri3 Ludwin Lopez-Lopez et al.
  • 1UNAM, Fac. Ingenieria, Cd. Universitaria, CDMX, 01430, Mexico
  • 2CNR Institute of Polar Sciences, via Gobetti 101, Bologna, 40129, Italy
  • 3INGV, via di Vigna Murata 605, Rome, 00143, Italy

Abstract. A methodology for examining a temporal sequence of Synthetic Aperture Radar (SAR) images as applied to the detection of the A-68 iceberg and its drifting trajectory, is presented. Using an improved image processing scheme, the analysis covers a period of eighteen months and makes use of a set of Sentinel-1 images. A-68 iceberg calved from the Larsen C ice shelf in July 2017 and is one of the largest icebergs observed by remote sensing on record. After the calving, there was only a modest decrease in the area (about 1 %) in the first six months. It has been drifting along the east coast of the Antarctic Peninsula and it is expected to continue its path for more than a decade. It is important to track the huge A-68 iceberg to retrieve information on the physics of iceberg dynamics and for maritime security reasons. Two relevant problems are addressed by the image processing scheme presented here: (a) How to achieve quasi-automatic analysis using a fuzzy logic approach to image contrast enhancement, and (b) Adoption of ferromagnetic concepts to define a stochastic segmentation. The Ising equation is used to model the energy function of the process, and the segmentation is the result of a stochastic minimization.

Ludwin Lopez-Lopez et al.

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Ludwin Lopez-Lopez et al.

Ludwin Lopez-Lopez et al.

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Short summary
A methodology for examining a temporal sequence of Synthetic Aperture Radar (SAR) images as applied to the detection of the A-68 iceberg and its drifting trajectory, is presented. Using an improved image processing scheme, the analysis covers a period of eighteen months. A-68 is one of the largest icebergs observed by remote sensing on record. It is expected to continue its path for more than a decade. It is important to track the huge A-68 iceberg to retrieve information on the drift movement.
A methodology for examining a temporal sequence of Synthetic Aperture Radar (SAR) images as...
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