Washington DC Mall Airborne Hyperspectral Imagery

Airborne hyperspectral data collected over the Washington DC Mall area. The HYDICE sensor system measured pixel response in 210 spectral bands across the 0.4 to 2.4 μm region. The dataset was provided by the Spectral Information Technology Application Center of Virginia and uploaded to Hugging Face by 'danaroth' in 2023.

Use Cases

• Classify urban land cover types by analyzing spectral signatures across 210 bands.
• Detect specific materials or vegetation health using reflectance patterns in the visible and infrared spectrum.
• Develop spectral unmixing algorithms to identify constituent materials within a single pixel.
• Benchmark hyperspectral image processing techniques on a well-known airborne flightline dataset.

Strengths

• 210 spectral bands per pixel provide detailed spectral information
• Covers the 0.4 to 2.4 μm region of the electromagnetic spectrum

Limitations

• Atmospheric absorption bands around 0.9 and 1.4 μm have been omitted, creating data gaps
• Specific sample size, spatial resolution, and geographic extent are not detailed

Provenance

Source

Spectral Information Technology Application Center of Virginia

Collection Method

Collected via airborne HYDICE sensor system flightline.

Freshness

Last updated on Hugging Face in November 2023.

Geography

Washington DC Mall area, United States.