Drone-Acquired Hyperspectral Imagery from Council, Alaska

Two co-aligned pushbroom hyperspectral datasets were captured by a drone over Council, Alaska. The collection includes raw and post-processed hyperspectral data, GNSS/IMU data, and digital surface models, all radiometrically and geometrically evaluated. AMD_KOPRI released this data in 2019 to support the improvement of UAV-based hyperspectral processing algorithms.

Use Cases

• Develop geometric correction algorithms using the co-aligned GNSS/IMU data and digital surface models.
• Test radiometric calibration methods on the provided raw and post-processed hyperspectral data streams.
• Fuse hyperspectral imagery with elevation data from the digital surface models for terrain analysis.
• Validate UAV-based pushbroom scanner performance by comparing raw and post-processed data products.

Strengths

• Data includes both raw and post-processed versions for direct comparison.
• Multiple co-aligned data types: hyperspectral, GNSS/IMU, and surface models.
• Datasets have undergone radiometric and geometric evaluation.

Limitations

• Sample size is limited to two specific drone flight datasets.
• Data is from a single geographic location (Council, AK), limiting generalizability.
• The dataset was last updated in 2019 and may not reflect current sensor technology.

Provenance

Source

AMD_KOPRI via NASA Earthdata.

Collection Method

Collected via GNSS/INS-assisted pushbroom hyperspectral scanners mounted on a drone.

Freshness

Last updated in September 2019; no stated update frequency.

Geography

Council, Alaska, USA.