Iceberg Detection in Open and Ice-Infested Waters Using C-Band Polarimetric Synthetic Aperture Radar

Akbari, Vahid; Brekke, Camilla

doi:10.1109/tgrs.2017.2748394

Cited by 22 publications

(16 citation statements)

References 32 publications

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“…The SLC images are calibrated, multilooked, and geocoded to a Universal Transverse Mercator (UTM) grid to produce the geocoded multilook complex (MLC) covariance images with 20 m pixel spacing and 16 looks. We herein apply the proposed segmentation-based iceberg detection algorithm in [3] on RS-2 images. A land masking is performed with the help of auxiliary data produced by the Mapping Section of the NPI.…”

Section: Data Processingmentioning

confidence: 99%

“…In [3], the authors demonstrated the great potential of the proposed algorithm for iceberg detection in open water and/or ice-infested waters using C-band polarimetric SAR satellite. However, comparison with the other sensors and fieldwork remains mandatory for the validation of the data acquired by spaceborne sensors.…”

Section: Introductionmentioning

confidence: 98%

“…Marino et al [6] proposed an iceberg detector to identify icebergs embedded in sea ice using depolarization ratio of dual-pol SAR data. Akbari and Brekke [3] proposed a new near real-time methodology for automatic identification of icebergs in high resolution C-band polarimetric SAR images. The algorithm adapts to different sea-ice conditions.…”

Section: Introductionmentioning

confidence: 99%

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Validation of SAR Iceberg Detection with Ground-Based Radar and GPS Measurements

Akbari

Lauknes

Rouyet

et al. 2018

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium

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Calving of icebergs at the tidewater glacier fronts is a component of the mass loss in Polar regions. Studying the regional distribution of icebergs, their volume, motion, and interaction with the environment is of interest. Here, we present the results from a fieldwork campaign conducted in Kongsfjorden, Svalbard in April 2016, where both satellite and ground-based remote sensing instruments were used to observe dynamics of sea ice, icebergs, and growlers. We used a ground-based radar system, imaging the study area every second minute during five days. During the same observation period, we collected four RADARSAT-2 (RS-2) quad-pol images, that are used for automatic detection of icebergs. In addition, the fieldwork team collected GPS positions of some drifting and grounded icebergs in the fjord to be used as ground-truth data. The comparison and combination of satellite, ground-based radar, and in-situ data contribute to cross-validate the results.

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Section: Data Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

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Validation of SAR Iceberg Detection with Ground-Based Radar and GPS Measurements

Akbari

Lauknes

Rouyet

et al. 2018

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium

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“…Данные с двойной поляризацией позволили повысить ве роятность обнаружения айсбергов среди морских льдов [6] . Авторы работы [9] получили хорошие результаты по обнаружению мелких айсбергов по данным поляриметрических данных . Однако мультиполяризационные снимки отличаются не большим пространственным охватом и имеют су щественно более высокую стоимость съёмки по сравнению со съёмкой в одной поляризации .…”

Section: спутниковые методы используемые для обнаружения айсберговunclassified

Use of satellite data for detecting icebergs and evaluating the iceberg threats

Bychkova

Смирнов

2018

Lëd i sneg

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Te methods of satellite monitoring of dangerous ice formations, namely icebergs in the Arctic seas, representing a threat to the safety of navigation and economic activity on the Arctic shelf are considered. Te main objective of the research is to develop methods for detecting icebergs using satellite radar data and high space resolution images in the visible spectral range. Te developed method of iceberg detection is based on statistical criteria for fnding gradient zones in the analysis of two-dimensional felds of satellite images. Te algorithms of the iceberg detection, the procedure of the false target identifcation, and determination the horizontal dimensions of the icebergs and their location are described. Examples of iceberg detection using satellite information with high space resolution obtained from Sentinel-1 and Landsat-8 satellites are given. To assess the iceberg threat, we propose to use a model of their drif, one of the input parameters of which is the size of the detected objects. Tree possible situations of observation of icebergs are identifed, namely, the «status» state of objects: icebergs on open water; icebergs in drifing ice; and icebergs in the fast ice. At the same time, in each of these situations, the iceberg can be grounded, that prevents its moving. Specifc features of the iceberg monitoring at various «status» states of them are considered. Te «status» state of the iceberg is also taken into account when assessing the degree of danger of the detected object. Te use of iceberg detection techniques based on satellite radar data and visible range images is illustrated by results of monitoring the coastal areas of the Severnaya Zemlya archipelago. Te approaches proposed to detect icebergs from satellite data allow improving the quality and efciency of service for a wide number of users with ensuring the efciency and safety of Arctic navigation and activities on the Arctic shelf.

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“…However, microwave remote-sensing systems, such as radar altimeters (e.g., McIntyre and Cudlip, 1987;Tournadre et al, 2008Tournadre et al, , 2012Tournadre et al, , 2015 and scatterometers (e.g., Ballantyne and Long, 2002;Aoki, 2003;Stuart and Long, 2011), are advantageous due to their independence from light and weather conditions. Synthetic aperture radar (SAR) has shown to be a robust tool to detect smaller icebergs with a resolution down to the meter scale (e.g., Williams et al, 1999;Frost et al, 2016;Akbari and Brekke, 2018). SAR-based methods are typically based on intensity thresholds, based on the assumption that icebergs return a stronger backscatter signal than their surroundings (e.g., Willis et al, 1996;Silva and Bigg, 2005;Wesche and Dierking, 2012).…”

Section: Introductionmentioning

confidence: 99%

Iceberg topography and volume classification using TanDEM-X interferometry

et al. 2019

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Abstract. Icebergs in polar regions affect water salinity, alter marine habitats, and impose serious hazards on maritime operations and navigation. These impacts mainly depend on the iceberg volume, which remains an elusive parameter to measure. We investigate the capability of TanDEM-X bistatic single-pass synthetic aperture radar interferometry (InSAR) to derive iceberg subaerial morphology and infer total volume. We cross-verify InSAR results with Operation IceBridge (OIB) data acquired near Wordie Bay, Antarctica, as part of the OIB/TanDEM-X Antarctic Science Campaign (OTASC). While icebergs are typically classified according to size based on length or maximum height, we develop a new volumetric classification approach for applications where iceberg volume is relevant. For icebergs with heights exceeding 5 m, we find iceberg volumes derived from TanDEM-X and OIB data match within 7 %. We also derive a range of possible iceberg keel depths relevant to grounding and potential impacts on subsea installations. These results suggest that TanDEM-X could pave the way for future single-pass interferometric systems for scientific and operational iceberg mapping and classification based on iceberg volume and keel depth.

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Iceberg Detection in Open and Ice-Infested Waters Using C-Band Polarimetric Synthetic Aperture Radar

Cited by 22 publications

References 32 publications

Validation of SAR Iceberg Detection with Ground-Based Radar and GPS Measurements

Validation of SAR Iceberg Detection with Ground-Based Radar and GPS Measurements

Use of satellite data for detecting icebergs and evaluating the iceberg threats

Iceberg topography and volume classification using TanDEM-X interferometry

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