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

• Main Authors: Liang, Dong, Guo, Huadong, Zhang, Lu, Li, Haipeng, Wang, Xuezhi
• Format: Text
• Language: unknown
• Published: Taylor & Francis 2021
• Subjects: Genetics; FOS Biological sciences; Evolutionary Biology; Environmental Sciences not elsewhere classified; Ecology; Information Systems not elsewhere classified; Inorganic Chemistry; FOS Chemical sciences; Science Policy; Antarctic; The Antarctic; The Sentinel; Antarc*; Antarctica; Ice Sheet
• Online Access: https://dx.doi.org/10.6084/m9.figshare.16819052; https://tandf.figshare.com/articles/journal_contribution/Sentinel-1_EW_mode_dataset_for_Antarctica_from_2014_2020_produced_by_the_CASEarth_Cloud_Service_Platform/16819052

Antarctica plays an important role in research on global change, and its unique geography, ocean, climate, and environment provide 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 ...