Harmonized Sentinel-2 and NAIP Satellite Imagery Collection

A dataset harmonizing high-resolution NAIP aerial imagery with Sentinel-2 satellite data to address spatial resolution differences. The dataset, created by researchers at isp-uv-es, was updated in December 2024 with a new version featuring more data and temporal support. It provides aligned image pairs for analysis.

Use Cases

• Train super-resolution models to enhance Sentinel-2 imagery using the high-resolution NAIP image pairs.
• Develop change detection algorithms by leveraging the dataset's temporal support across aligned image sets.
• Benchmark land cover classification models using the harmonized spectral bands from both Sentinel-2 and NAIP sources.
• Create image-to-image translation models for style transfer between different satellite sensor outputs.
• Validate geometric correction and co-registration techniques on the provided spatially aligned image pairs.

Strengths

• Version 2.0 update includes expanded data volume and a retrained harmonization model.
• Features cloud-optimized properties for inspection without full download.
• Provides temporal support for time-series analysis of geospatial scenes.

Limitations

• Specific row count, geographic coverage, and exact time range are not provided in the available description.
• The absence of detailed column metadata makes precise feature engineering and replication challenging.

Provenance

Source

Hugging Face dataset repository by author 'isp-uv-es'.

Collection Method

Harmonization of Sentinel-2 satellite imagery with NAIP (National Agriculture Imagery Program) aerial imagery.

Time Range

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Freshness

Last updated on December 19, -12-19 09:31:33.

Geography

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