SSL4EO S12: Landsat Multi-Product Dataset for Self-Supervised Learning

A multi-view dataset combining SSL4EO-S12 and SSL4EO-L for multi-modal fusion. It is designed for self-supervised learning applications in earth observation. The dataset is hosted on AWS Open Data and is licensed under CC-BY-NC-SA-4.0.

Use Cases

• Train self-supervised vision models based on satellite imagery.
• Perform multi-modal fusion experiments based on the multi-view structure.
• Benchmark earth observation algorithms based on Landsat product data.

Strengths

• Combines two established earth observation datasets (SSL4EO-S12 and SSL4EO-L) for multi-modal use.
• Designed specifically for self-supervised learning, a key machine learning paradigm.
• Available via AWS Open Data, suggesting reliable hosting.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Sankranti Joshi

Collection Method

Combines SSL4EO-S12 and SSL4EO-L datasets.