Morphometry and Mass of Icebergs in the Russian Arctic Seas

May, Ruslan I.; Guzenko, Roman B.; Mironov, Yevgeniy U.; Naumov, Aleksey K.; Skutin, Andrey A.; Skutina, Elena A.; Sobotuk, Dmitriy I.; Zamarin, Georgy A.; Kornishin, Konstantin A.; Efimov, Yaroslav O.; Mamedov, Teymur E.

doi:10.17736/ijope.2019.jc770

Cited by 3 publications

(2 citation statements)

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“…The location is also chosen due to the variety of environmental conditions, such as sea-states, sea-ice types and freezing and melting conditions of glacial ice. Icebergs in this region tend to have a small size <120 m in length and are often irregular in shape, compared to their Antarctic counterparts [12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Iceberg Detection With RADARSAT-2 Quad-Polarimetric C-Band SAR in Kongsfjorden, Svalbard—Comparison With a Ground-Based Radar

Bailey,

Akbari,

Liu

et al. 2024

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

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Satellite monitoring of icebergs in the Arctic region is paramount for the safety of shipping and maritime activities. The potential of PolSAR data in enhancing detection capabilities of icebergs under interchangeable and challenging conditions is explored in this work. We introduce RADARSAT-2 (RS2) quadpol C-band data to detect icebergs in Kongsfjorden, Svalbard. The location contains two tidewater glaciers and is chosen because multiple processes are present in this region such as ice formation and its relationship with the glaciers, freshwater discharge. Six state-of-the-art detectors are tested for detection performance. These are the dual intensity polarisation ratio anomaly detector (iDPolRAD), polarimetric notch filter (PNF), polarimetric match filter (PMF), symmetry, polarimetric whitening filter (PWF), optimal polarimetric detector (OPD). Additionally, we also tested the parameters of the Cloude-Pottier decomposition. In this study, we make use of a ground-based radar for validation and comparison with satellite images. We show that in calm sea-state conditions, the OPD and PWF detectors give high Probability of Detection (PD) values of 0.7-0.8 when the Probability of False Alarm (PF) value is 0.01-0.05, compared to choppy sea conditions where the same detectors have degraded performance (PD = 0.5-0.7). Target to clutter ratio (TCR) values for each polarization channel is also extracted and compared to the icebergs' dimensions. The ground-based radar shows higher values in TCR, compared to satellite images. These findings corroborate previous work and show that sea ice activity, surface roughness, incidence angle, weather and sea state conditions all affect the sensitivity of the detectors for this task.

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Section: Introductionmentioning

confidence: 99%

Iceberg Detection With RADARSAT-2 Quad-Polarimetric C-Band SAR in Kongsfjorden, Svalbard—Comparison With a Ground-Based Radar

Bailey,

Akbari,

Liu

et al. 2024

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

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“…Время между отёлами рассчитывается как отношение объема сгенерированного айсберга к продуктивности ледника. Масса айсберга определяется по ранее установленным регрессионным уравнениям [6]. Далее выполняется расчет дрейфа айсберга по модели, получаемые ежечасные координаты айсберга сортируются по ячейкам сеточной области с шагом 12,5 км, оценивается время нахождения айсбергов в каждой ячейке.…”

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Criteria of iceberg hazard in the seas of the Russian Federation Arctic zone

Bychkova,

Kortikova,

Smirnov

2024

Problemy Arktiki i Antarktiki

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The aim of the study was to develop quantitative criteria of iceberg hazard for the seas of the Russian Arctic based on the results of statistical processing of the data of regular satellite surveys. The study used non-commercial data of the visible spectral range from the Landsat-8 satellite (spatial resolution of 15 m) for 2014–2023. It is proposed that the criteria of iceberg danger be expressed in points. The main criterion is the value of the average daily density of icebergs in squares of a regular grid obtained for a particular month (season) of the year and expressed on a 5-point scale. Additional criteria included registration in the iceberg grid with a length of more than 200 m (extensive icebergs according to the classification of the World Meteorological Organization, WMO), icebergs with a surface height of more than 25 m, grounded icebergs (iceberg traps), and icebergs with high drift speeds (>1 km/hour). The additional criteria are estimated at 1 point on the iceberg hazard scale. To detect icebergs in the images, a technique was used based on statistical criteria for searching for gradient zones in the analysis of two-dimensional fields of satellite images. A convolutional neural network based on the U–Net architecture was used to automate the detection of grounded icebergs among drifting ice floes. Examples are given of the application of the criteria developed to the Severnaya Zemlya region. The possibility is discussed of zoning the water area according to the degree of iceberg hazard using the criteria suggested.

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Iceberg Towing in Ice Conditions

Efimov

Kornishin

Buzin

et al. 2020

Day 2 Tue, May 05, 2020

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This paper presents field results and analysis of iceberg towing experiments performed in the Barents and Kara Sea in 2016-2017. For the first time ever in the industry, this research was based on a complex study of the icebergs origin and properties. For that purpose prior to the trials outlet glaciers of Novaya Zemlya, Franz Josef Land and Severnaya Zemlya were examined with airborne radar that allowed to measure their thickness and to build 3D models. Satellite remote sensing data were used to derive glacier fronts position, ice surface flow velocity, changes of glacier margins, and parameters of iceberg distribution. The data on the flow rates of the main glaciers were compared with the satellite beacons equipped with GPS (ARGOS) installed on several glaciers. Empirical relationships were derived to determine the mass and geometry of icebergs based on instrumental measurements and airborne data in the Barents and Kara seas. All this information was used to estimate iceberg towing possibilities in different conditions, analyze obtained data and deeper understand the process. Influence of oscillations during the towing process was studied. For a wide range of towing speeds, drag force coefficients were determined for icebergs of various sizes and shapes. Experimental iceberg towing operations performed in ice fields during the early stages of ice formation are described. These works were conducted in October 2017 in the Kara sea. Limitations of iceberg towing under different ice conditions are determined and discussed. Technological features of towing operations within negative air temperatures and the presence of sea ice are also highlighted.

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Morphometry and Mass of Icebergs in the Russian Arctic Seas

Cited by 3 publications

References 0 publications

Iceberg Detection With RADARSAT-2 Quad-Polarimetric C-Band SAR in Kongsfjorden, Svalbard—Comparison With a Ground-Based Radar

Iceberg Detection With RADARSAT-2 Quad-Polarimetric C-Band SAR in Kongsfjorden, Svalbard—Comparison With a Ground-Based Radar

Criteria of iceberg hazard in the seas of the Russian Federation Arctic zone

Iceberg Towing in Ice Conditions

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