TERN and Airborne Research Australia collected airborne hyperspectral, thermal, and LiDAR data for 5 km x 5 km field sites across Australia. The data includes 0.5m resolution hyperspectral imagery and 0.3m resolution LiDAR point clouds, captured using a Riegl Q560 and SPECIM scanners mounted on an ECO-Dimona aircraft. Supplementary field measurements for calibration and validation, such as ground control targets and Sun-photometer observations, are also provided.
Use Cases
- Classifying land cover and vegetation types based on high-resolution hyperspectral imagery.
- Modeling terrain and vegetation structure using detailed LiDAR point clouds.
- Calibrating satellite-derived products with field-based measurements like Aerosol Optical Depth.
- Conducting multi-sensor fusion analysis by combining hyperspectral, thermal, and LiDAR data.
Strengths
- High spatial resolution with 0.5m for hyperspectral data and 0.3m for LiDAR data.
- Includes supplementary calibration and validation datasets like ground control targets.
- Covers multiple 5 km x 5 km homogenous field sites across Australia.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and total dataset size are unknown, which may limit suitability assessment.
- Data may reflect geographic bias inherent to the selected Australian field sites.
Provenance
- Source
- Terrestrial Ecosystem Research Network (TERN) and Airborne Research Australia (ARA).
- Collection Method
- Airborne data acquisition using a Riegl Q560 LiDAR and SPECIM hyperspectral scanners mounted on an ECO-Dimona aircraft.
- Time Range
- null
- Freshness
- Last updated 2026-06-19 10:35:04.101117; freshness should be verified.
- Geography
- Selected field sites across several locations in Australia.