Pavia University Hyperspectral Dataset: High-Resolution Urban Scene

Italy is the geographic scope of this high-resolution urban hyperspectral scene. The dataset contains nine land cover classes. It was sourced from Kaggle, but the author, organization, and specific collection details are unknown.

Use Cases

• Classify urban land cover types based on the nine described classes.
• Train hyperspectral image segmentation models using the high-resolution scene.
• Benchmark spectral unmixing algorithms on a scene with defined urban features.
• Analyze spectral signatures of man-made and natural materials in an urban Italian context.

Strengths

• The description specifies a high-resolution urban scene.
• The description explicitly lists nine land cover classes.

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

Kaggle

Geography

Italy