MethaneSET: Multi-Sensor Satellite Data for Methane Plume Detection

MethaneSET provides analysis-ready datasets for methane plume detection from satellite sensors. The dataset is authored by Cesar Aybar, Julio Contreras, David Montero, Miguel D. Mahecha, and Luis Gómez-Chova, with a related paper under review in Scientific Data. It was last updated on the platform on 2026-03-23.

Use Cases

• Training machine learning models for methane plume segmentation based on multi-sensor satellite imagery.
• Benchmarking detection algorithms for super-emitter sources mentioned in the description.
• Conducting climate change research by analyzing spatial patterns of methane emissions.
• Developing automated monitoring systems for industrial and natural methane point sources.

Strengths

• Dataset is analysis-ready, suggesting preprocessing for direct use.
• Unified data spans three different satellite sensors, enabling multi-sensor analysis.
• Focuses on super-emitter detection, a critical component for climate mitigation.
• Last updated on 2026 03 23, indicating recent maintenance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and exact license are unknown, which may limit suitability assessment.

Provenance

Source

tacofoundation on Hugging Face.

Collection Method

Satellite-based data collection from three sensors, processed into analysis-ready format.

Time Range

null

Freshness

Last updated 2026-03-23 13:36:15; freshness should be verified.

Geography

Region 'us' is indicated in platform tags, but full spatial coverage is unknown.