A six-year circum-Antarctic icebergs dataset (2018–2023)

作者：Zilong Chen, Xuying Liu, Zhenfu Guan, Teng Li, Teng Li, Xiao Cheng, Yan Liu, Qi Liang, Yan Liu, Qi Liang, Lei Zheng, Jiping Liu · 发表于：Earth system science data · 年份：2026 · DOI：10.5194/essd-18-147-2026 · 被引用次数：2 · 研究领域：Cryospheric studies and observations、Arctic and Antarctic ice dynamics、Polar Research and Ecology

Abstract. The distribution of Antarctic icebergs is crucial for understanding their impact on the Southern Ocean's atmosphere and physical environment, as well as their role in global climate change. Recent advancements in iceberg databases, based on remote sensing imagery and altimetry data, have led to products like the BYU/NIC iceberg database, the Altiberg database, and high-resolution SAR-based iceberg distribution data. However, no unified database exists that integrates various iceberg scales and covers the entire Southern Ocean. Our research presents a comprehensive circum-Antarctic iceberg dataset, developed using Sentinel-1 SAR imagery from the Google Earth Engine (GEE) platform, covering the Southern Ocean south of 55° S. A semi-automated classification method that integrated incremental random forest classification with manual correction was applied to extract icebergs larger than 0.04 km2, resulting in a dataset for each October from 2018 to 2023. The resulting dataset documents the geographic coordinates and geometric attributes of icebergs (area, perimeter, major axis, and minor axis), provides uncertainty estimates for area, and, under a fixed density assumption, employs the Iceberg Size Scaling to derive iceberg mass along with the associated uncertainty bounds. The dataset reveals significant interannual variability in iceberg number and total area. Specifically, the number of icebergs increased from 34 825 in 2018 to approximately 51 420 in 2021, while the ...