Three Years of Near‐Coastal Antarctic Iceberg Distribution From a Machine Learning Approach Applied to SAR Imagery
Three Years of Near‐Coastal Antarctic Iceberg Distribution From a Machine Learning Approach Applied to SAR Imagery
复制标题
将机器学习方法应用于 SAR 图像,了解三年近岸南极冰山分布
DOI:
10.1029/2019jc015205
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发表时间:
2019
期刊:
影响因子:
--
通讯作者:
M. Mata
中科院分区:
文献类型:
--
作者:
M. Barbat;T. Rackow;H. Hellmer;Christine Wesche;M. Mata
Mass loss around the Antarctic Ice Sheet is driven by basal melting and iceberg calving,which constitute the two dominant paths of freshwater flux into the Southern Ocean. Although of similarmagnitude, icebergs play an important and still not fully understood role in the balance of heat andfreshwater around Antarctica. This lack of understanding is partly due to operational difficulties inlarge-scale monitoring in polar regions, despite observational and remote sensing efforts. In this study, anovel machine learning approach, augmented by visual inspection, was applied to three SyntheticAperture Radar (SAR) mosaics of the whole Antarctic continent and its adjacent coastal zone. Althoughoriginally intended for a mapping of the Antarctic continent, the SAR mosaics allow us to document theevolution and distribution of the size (and mass) of icebergs in the pan-Antarctic near-coastal zone for theyears 1997, 2000, and 2008. Our novel algorithm identified 7,649 icebergs in 1997, 13,712 icebergs in 2000,and 7,246 icebergs in 2008 with surface areas between 0.1 and 4,567.82 km2and total masses of 4,641.53,6,862.81, and 5,263.69 Gt, respectively. Large regional variability was observed, although a zonal patterndistribution is present. This has implications for future climate modeling studies that try to estimate thefreshwater flux from melting icebergs, which demands a realistic representation of the interannuallyvarying near-coastal iceberg pattern to initialize the simulations.
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DOI:
10.3390/rs5126305
发表时间:
2013
期刊:
Remote. Sens.
影响因子:
--
作者:
Wesche;Jansen;Dierking
通讯作者:
Dierking
DOI:
10.1007/3-540-45014-9
发表时间:
2000-06
期刊:
--
影响因子:
--
作者:
Thomas G. Dietterich
通讯作者:
Thomas G. Dietterich
影响因子:
13.5
作者:
Wesche, Christine;Dierking, Wolfgang
通讯作者:
Dierking, Wolfgang
影响因子:
3.4
作者:
Christine Wesche;W. Dierking
通讯作者:
Christine Wesche;W. Dierking