UAS LiDAR Data for Vegetation Structure at Calperum Mallee, 2022

LiDAR point cloud data collected at the Calperum Mallee SuperSite in 2022 using a DJI Matrice 300 RTK drone equipped with a Zenmuse L1 sensor. The Terrestrial Ecosystem Research Network (TERN) conducted the survey as part of a field trial to evaluate drone-based LiDAR for ecosystem monitoring. Standardized TERN protocols were used for data collection and processing in DJI Terra software.

Use Cases

• Modeling 3D vegetation structure and canopy height based on the RGB colorized point clouds.
• Assessing the efficacy of drone-based LiDAR protocols for ecosystem surveillance across TERN sites.
• Generating digital terrain and surface models from the georeferenced point cloud data.
• Monitoring changes in mallee ecosystem structure over time using standardized collection methods.

Strengths

• Data was collected using standardized TERN protocols developed in 2022, ensuring methodological consistency.
• Georeferencing was performed using an onboard GNSS and a D-RTK 2 base station, which likely enhances positional accuracy.
• The data collection focuses on a specific 100 x 100 meter TERN plot, providing a controlled survey area.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment for large-scale analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• The data is from a single site and year, which may limit generalizability.

Provenance

Source

Terrestrial Ecosystem Research Network's Data Discovery

Collection Method

Collected via a DJI Matrice 300 RTK drone platform with a Zenmuse L1 LiDAR sensor, processed with DJI Terra software.

Time Range

2022

Freshness

Last updated 2026-06-13 11:59:24.104942; freshness should be verified.

Geography

Calperum Mallee SuperSite, Australia