Annual Iceberg Calving Dataset of the Antarctic Ice Shelves (2005-2019)
QI Mengzhen1,2,3LIU Yan1,2,3CHENG Xiao*4,2,3FENG Qiyang1HUI Fengming4,2,3CHEN Zhuoqi4,2,3
1 State Key Laboratory of Remote Sensing Science,College of Global Change and Earth System Science,Beijing Normal University,Beijing 100875,China2 Southern Marine Science and Engineering Guangdong Laboratory,Zhuhai 519082,China3 University Corporation for Polar Research,Beijing 100875,China4 School of Geospatial Engineering and Science,Sun Yat-Sen University,Zhuhai 519082,China
DOI:10.3974/geodb.2020.04.09.V1
Published:Jul. 2020
Visitors:7708 Data Files Downloaded:103
Data Downloaded:333.56 MB Citations:
Key Words:
Antarctica,ice shelves,iceberg calving,remote sensing
Abstract:
Iceberg calving is one of the key processes of the Antarctic mass balance, it also plays an important role in precisely monitoring the spatial changes of ice shelves. The authors used multi-source remote sensing data in early August from 2005 to 2019 to generate annual mosaic images of the Antarctic coastline and calculated the annual calving events with an area larger than 1 km² occurred between August 2005 and August 2019 by map digitization and spatial computing, and calculated their area, thickness, mass, and calving period to obtain the annual iceberg calving dataset of the Antarctic ice shelves (2005-2019). The dataset includes the distribution of annual calving events, along with the calving year, length, area, thickness, mass, calving period, and calving types. This dataset is archived in .shp format and consists of 112 data files, with a data size of 10.2 MB (compressed to one file with 3.23 MB).
Foundation Item:
National Natural Science Foundation of China (41925027)
Data Citation:
QI Mengzhen, LIU Yan, CHENG Xiao*, FENG Qiyang, HUI Fengming, CHEN Zhuoqi. Annual Iceberg Calving Dataset of the Antarctic Ice Shelves (2005-2019)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2020. https://doi.org/10.3974/geodb.2020.04.09.V1.
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IcebergCalvingAntarctic_2005-2019.rar |
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