2015
DOI: 10.1016/j.rse.2014.10.025
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Near-coastal circum-Antarctic iceberg size distributions determined from Synthetic Aperture Radar images

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Cited by 36 publications
(71 citation statements)
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“…Approximately 80% of ice islands in the spatial and temporal snapshots were <10 km 2 (Figures and ). This supports previous findings that most mass will be contained within a few large ice islands, while the ice island population will be dominated by smaller ice islands, which are difficult to detect in SAR imagery (Rackow et al, ; Saper, ; Wesche & Dierking, ). Therefore, these smaller ice islands, icebergs, bergy bits, and growlers pose greater risks to offshore operations such as shipping and resource extraction (Saper, ).…”
Section: Discussionsupporting
confidence: 90%
“…Approximately 80% of ice islands in the spatial and temporal snapshots were <10 km 2 (Figures and ). This supports previous findings that most mass will be contained within a few large ice islands, while the ice island population will be dominated by smaller ice islands, which are difficult to detect in SAR imagery (Rackow et al, ; Saper, ; Wesche & Dierking, ). Therefore, these smaller ice islands, icebergs, bergy bits, and growlers pose greater risks to offshore operations such as shipping and resource extraction (Saper, ).…”
Section: Discussionsupporting
confidence: 90%
“…However, very few studies proposed a size distribution covering the whole range of iceberg size. Using a limited data set of SAR images from the Radarsat‐1 Antarctic Mapping Project (RAMP) that are snapshots taken from September to October 1997 and are restricted to the near‐coastal zone, Wesche and Dierking [] detected 6912 icebergs larger than 0.3 km 2 . They estimated a size distribution by surface area ranges with 71.9% of icebergs from 0.3 to 1 km 2 , 26.0% 1–10 km 2 , 1.8% 10–100 km 2 , 0.2% 100–1000 km 2 , and 0.1% 1000–10,000 km 2 .…”
Section: Unified Iceberg Size Distributionmentioning
confidence: 99%
“…The −1.52 power law approximation gives a size distribution by range of 77% for icebergs <1 km 2 , 17% for 1–10 km 2 , 4.8% for 10–100 km 2 , 1.5% for 100–1000 km 2 , and 0.4% for 1000–10,000 km 2 (see Figure ). This distribution agrees relatively well to the Wesche and Dierking [] one. However, it has less icebergs in the 1–10 km 2 range and more icebergs larger than 10 km 2 .…”
Section: Unified Iceberg Size Distributionmentioning
confidence: 99%
“…Romanov et al (2008) and Romanov et al (2012) focused on spatial distribution and multiyear variability of icebergs in the Atlantic-Indian sector of the Southern Ocean and the general distribution in terms of shape and size. Wesche and Dierking (2015) presented the spatial distribution of icebergs around Antarctica in near-coastal waters for the year 1997 in relation to the type of calving fronts. In a series of papers (Bouhier et al, 2018;Tournadre et al, 2008Tournadre et al, , 2012Tournadre et al, , 2016, the recent iceberg distribution in open water for the whole Southern Ocean was shown, discussing size distribution, melting, and fragmentation.…”
Section: Introductionmentioning
confidence: 99%
“…gov/Main_Products.htm, last visit 28.03.2019) and the Brigham Young University (http://www.scp.byu.edu/ data/iceberg/, last visit 28.03.2019) have been actively detecting and tracking icebergs larger than 10 nautical miles (longest axis) in the Southern Ocean using spaceborne scatterometer (Stuart & Long, 2011). Also, previous studies have presented iceberg distributions for different regions of the Southern Ocean applying distinct approaches, namely, observational data (Jacka & Giles, 2007;Romanov et al, 2012), satellite altimetry (Tournadre et al, , 2012(Tournadre et al, , 2008, numerical models (Gladstone, 2001;Rackow et al, 2017;Stern et al, 2016), or Synthetic Aperture Radar (SAR; Silva et al, 2006;Wesche & Dierking, 2015). SAR bridges a gap between observational, altimetry, and scatterometer methods, since it enables detection of icebergs from lengths of a few tens of meters up to several kilometers even during polar night and independent of the prevailing cloud conditions.…”
Section: Introductionmentioning
confidence: 99%