SeeFar V0: Multi-Resolution Satellite Images for Geospatial Foundation Models

A collection of multi-resolution satellite images from both public and commercial satellites. The dataset is specifically curated for training geospatial foundation models. It is hosted on AWS Open Data and was contributed by the organization Coastal Carbon.

Use Cases

• Train geospatial foundation models based on multi-resolution satellite imagery.
• Benchmark model performance on Earth observation tasks based on curated satellite data.
• Develop applications for environmental monitoring based on the described satellite image collection.
• Conduct research in remote sensing and mapping based on the multi-source satellite imagery.

Strengths

• Dataset is specifically curated for training geospatial foundation models.
• Includes imagery from both public and commercial satellite sources.
• Features multi-resolution satellite images.

Limitations

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

Provenance

Source

Coastal Carbon

Collection Method

Curated collection from public and commercial satellite sources.

Time Range

Unknown

Freshness

Last updated date is unknown.

Geography

Global