Dataset for: An Explainable Optical Flow Network for Arctic Sea Ice Drift Extraction from Multi-Frequency AMSR2 Passive Microwave Data
Abstract
Dataset for An Explainable Optical Flow Network for Arctic Sea Ice Drift Extraction from Multi-Frequency AMSR2 Passive Microwave Data. ## π Dataset Structure The dataset is organized by region and data type: root/ βββ train/ βββ test/ βββ Region_1/ βββ Region_2/ βββ Region_3/ β βββ 18/ β βββ 36/ β βββ 89/ β βββ wv/ β βββ sic/ β βββ flow/ βββ ... --- ## π§ Data Components ### 1. Brightness Temperature (TB) Stored under frequency folders: - 18/ - 36/ - 89/ Each folder contains both polarizations: 2021001h.png # Horizontal polarization 2021001v.png # Vertical polarization - h β Horizontal (H) - v β Vertical (V) --- ### 2. Water Vapor (WV) Directory: wv/ Format: .tif 2021001.tif 2021002.tif Represents atmospheric water vapor content. --- ### 3. Sea Ice Concentration (SIC) Directory: sic/ Format: .png 2021001h.png 2021001v.png --- ### 4. ground truth Directory: flow/ Format: .txt region_3_2021_1.txt region_3_2021_2.txt Represents drift vector observed by IABP buoy --- ## Time Indexing - TB, WV, SIC: YYYYDOY (e.g., 2021001) - Flow: YYYY_index (e.g., 2021_1) ---
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 28 April 2026
- Document type
- Dataset