Quantifying Basal Roughness and Internal Layer Continuity Index of Ice Sheets by an Integrated Means with Radar Data and Deep Learning

• Published in: Remote Sensing
• Main Authors: Xueyuan Tang, Kun Luo, Sheng Dong, Zidong Zhang, Bo Sun
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2022
• Subjects: ice-penetrating radar (IPR); internal layer continuity index (ILCI); roughness; deep learning; Science; Q; Antarctic; East Antarctica; Zhongshan; Zhongshan Station; Antarc*; Antarctica
• Online Access: https://doi.org/10.3390/rs14184507; https://doaj.org/article/fc13781de5424136992e4f356f725311

Understanding englacial and subglacial structures is a fundamental method of inferring ice sheets’ historical evolution and surface mass balance. The internal layer continuity index and the basal roughness are key parameters and indicators for the speculation of the relationship between the ice shee...