Sentinel-1 EW mode dataset for Antarctica from 2014–2020 produced by the CASEarth Cloud Service Platform

作     者：Dong Liang Huadong Guo Lu Zhang Haipeng Lia Xuezhi Wang 

作者机构：Key Laboratory of Digital Earth ScienceAerospace Information Research InstituteChinese Academy of SciencesBeijingChina University of Chinese Academy of SciencesBeijingChina International Research Center of Big Data for Sustainable Development GoalsBeijingChina Computer Network Information CenterChinese Academy of SciencesBeijingChina 

出 版 物：《Big Earth Data》 (地球大数据（英文）)

年 卷 期：2022年第6卷第4期

页      面：385-400页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 081202[工学-计算机软件与理论] 

基　　金：funded by the Chinese Academy of Sciences Strategic Priority Research Program of the Big Earth Data Science Engineering Program(CASEarth) grant numbers XDA19090000 XDA19030000 Capacity Building Project of Big Earth Data Science Data Center of the Chinese Academy of Sciences grant number WX145XQ07-13 and National Natural Science Foundation of China grant number 41876226。 

主　　题：Big Earth data CASEarth cloud computing Sentinel-1 Antarctica 

摘      要：Antarctica plays an important role in research on global change,and its unique geography,ocean,climate,and environment pro-vide an ideal place for humankind to understand Earth’s evolution.Remote sensing provides an effective means to monitor and observe large-scale processes on the continent.Synthetic aperture radar(SAR)in particular provides the capability for all-weather Earth observation.The Sentinel-1A and Sentinel-1B SAR satellites have ideal ground coverage and imaging frequency for observing Antarctica.This study developed a dataset of 69,586 Sentinel-1 EW mode satellite images of the Antarctic ice sheet from October 2014 to December 2020.The dataset was processed with the European Space Agency Sentinel Application Platform(SNAP)and a Python batch scheduling tool on the Big Earth Data Cloud Service Platform of the Chinese Academy of Sciences Big Earth Data Science Engineering Program(CASEarth).Several data processing operations were implemented to process the raw dataset,including radiometric calibration,invalid edge removal,geocoding,data reprojection to an Antarctic projection,data compression to TIFF format,and construction of image pyramids.The dataset is avail-able at http://***/10.11922/sciencedb.j00076.00085.