Sentinel-2 / Sentinel-3 Paired Super-Resolution Dataset
Summary
No summary yet. VIRAT can read this paper and write a plain-language summary of its aim, methods, key findings and limitations.
Summarise with VIRAT Free to try with your Science Catalogs account.Abstract
This dataset provides paired time-series imagery from Sentinel-2 (10 m resolution) and Sentinel-3 (300 m resolution) for research in satellite image super-resolution, image fusion, and multi-sensor remote sensing. The data was collected via Google Earth Engine across 40 globally distributed regions of interest (ROIs), spanning diverse land cover types including urban, agricultural, forest, arid, and coastal environments.
Fields of Study & Subjects
Advanced Image Fusion Techniques
Satellite Image Processing and Photogrammetry
Remote-Sensing Image Classification
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 16 March 2026
- Language
- EN
- Document type
- Dataset