Houston 2013 HSI-LiDAR Fusion Dataset for Urban Land Cover

A multimodal dataset fusing hyperspectral and LiDAR data for urban land cover classification. The dataset was collected over Houston, Texas, in 2013. The specific author, organization, and data volume are not provided in the available metadata.

Use Cases

• Urban land cover classification based on fused hyperspectral and LiDAR data.
• Developing multimodal deep learning models for remote sensing applications.
• Benchmarking data fusion techniques for urban scene understanding.
• Analyzing urban material composition based on hyperspectral signatures.
• Extracting 3D urban structures based on LiDAR point cloud data.

Strengths

• Dataset focuses on a specific, complex task: multimodal fusion for urban land cover classification.
• Data is geospatially and temporally anchored to Houston, Texas, in 2013.

Limitations

• Row count, file size, and column-level documentation are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle

Time Range

2013

Geography

Houston, Texas, USA