Segmented images of meteocean processes
This data set contains 1000 annotated imagettes (20x20 km approx.) of Sentinel-1 Wave Mode acquisition in the form of JSON polygons among 10 metocean features down to 50 meters resolution typically (see illustration) : Atmospheric Fronts Biological Slicks Iceberg Low Wind Area Micro-Convective Cells Oceanic Front Pure Ocean Waves Rain Cells Sea-Ice Wind Streaks
The present data set extends TenGeoP categorization (1 feature per imagette) to pixel-level segmentation among all 10 features listed above. Its main goal is the training of Deep Learning segmenters, with applications in automatic mapping of ocean surface processes [1] and in understanding air-sea interactions. A Jupyter notebook is provided in the dataset archive to consult the annotation. Raw Sentinel-1 sea surface roughness images in this dataset are a 1000 elements subset of the TenGeoP labelled SAR images data set [2, 3], equally balanced between the so-called wave mode 1 and 2 (23 and 36° incidence respectively). A labelling methodology coherent with TenGeoP is here undertaken. The user should refer to [2] to access raw SAR images and read about their processing.
Data and resources
Additional information
| Temporal extent | 2016-01-01 – 2016-01-01 |
|---|---|
| Date (creation) | 2023-01-17 |
| Date (publication) | 2023-01-17 |
| Status | onGoing |
| Update frequency | asNeeded |
| Metadata language | fr |
| License | Licence ouverte |
| Source metadata | ISO 19115 XML |
| Last updated | 2026-11-04 |
| Created | 2026-11-04 |
| API | package_show |