SEN12VTS: Sentinel 1 and 2 Vegetation Time-Series for Europe

A dataset created to support research on time-series analysis for vegetation indices, specifically targeting NDVI (Normalized Difference Vegetation Index) regression tasks. It was developed by links-ads to fill a gap for high-quality, Europe-focused data, as described on its Hugging Face page. The dataset was last updated on 2025-02-07.

Use Cases

• Time-series forecasting of vegetation health based on Sentinel-1 and Sentinel-2 data.
• NDVI regression model training using multi-sensor satellite imagery.
• Analyzing seasonal vegetation patterns across Europe.
• Developing models for agricultural monitoring and land-use analysis.

Strengths

• Targets a specific research gap for vegetation index time-series analysis.
• Combines data from two Sentinel satellite missions (Sentinel-1 and Sentinel-2).
• Described as high-quality and focused on Europe.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and exact spatial coverage are unknown.
• License information is not provided in the available metadata.

Provenance

Source

links-ads on Hugging Face.

Collection Method

Likely aggregated from Sentinel-1 and Sentinel-2 satellite imagery.

Freshness

Last updated 2025-02-07 21:32:43.

Geography

Europe-focused.