南极冰架月崩解数据集(2010-2019)

Monthly Iceberg Calving Dataset of the Antarctic Ice Shelves(2010-2019)

冰架崩解是南极冰盖-冰架系统物质损失的主要方式,也是精细评估冰架物质平衡的重要物理量。作者运用2010年8月至2019年8月间每月月初的多源遥感数据,包括2010年8月至2012年4月ENVISAT ASAR传感器WSM模式影像,2012年1月至2014年12月(极夜除外)Terra/AquaMODIS传感器7-2-1波段合成影像,2013年9月至2019年8月(极夜除外)Landsat-8OLI传感器2-3-4波段合成影像,2014年10月至2019年8月Sentinel-1SAR传感器EW模式影像,经过预处理、镶嵌得到月分辨率的环南极海岸线影像镶嵌图;结合南极冰架年崩解数据集(2005-2019),应用空间矢量编辑和分割功能逐月提取了2010年8月至2019年8月期间发生的月崩解事件,应用空间计算功能更新了单个崩解区的面积、尺度、崩解量,得到南极冰架月崩解数据集。该数据集包括13个月份区间(12个月份区间和一个2012-2014年度极夜区间)的南极冰架崩解分布数据,同时含有冰架崩解的年份、月份、崩解区长度、面积、平均厚度、崩解量、崩解周期、崩解类型等信息。该数据集以.shp格式存储,由104个数据文件组成,数据总量为4.3 MB(压缩为1个文件,1.6 MB)。

Iceberg calving is a major process of Antarctic mass loss,and it has been regarded as a crucial variable in precisely evaluating the mass balance of ice shelves.We used multi-source remote sensing data from the first three days of each month from August 2010 to August 2019,including ENVISAT ASAR(WSM)images from August 2010 to April 2012,Terra/Aqua MODIS 7-2-1 band composite images from January 2012 to December 2014(except during polar night),Landsat-8 OLI 4-3-2 band composite images from October 2013 to August 2019(except during polar night),and Sentinel-1 SAR(EW)images from October 2014 to August 2019,to generate monthly mosaics of the Antarctic coastline.Then,combining the image data with the annual iceberg calving dataset,we extracted all monthly calving events that occurred between August 2010 and August 2019 through vector segmentation and calculated the area,thickness,mass,and calving period through spatial computing.The monthly iceberg calving dataset of the Antarctic ice shelves,which were classified by month(12 monthly datasets and one polar night dataset),contains the distribution of each monthly calving event,along with the calving year,calving month,length,area,thickness,mass,calving period,and calving type.This dataset is archived in.shp format and consists of 104 data files with a data size of 4.3 MB(compressed to one file,1.6 MB).