Photogrammetric drone data and derived ground classification layers were captured over Davos Wolfgang Arelen, Switzerland. Two drone flights were conducted on August 25, 2021, using Wingtra and DJI Phantom 4 RTK platforms. The data was processed by ENVIDAT using Agisoft Metashape, LASTools, and Terrasolid workflows.
Use Cases
- Train point cloud segmentation models to classify ground points from non-ground features using the derived ground classification layer.
- Benchmark photogrammetric processing pipelines by comparing outputs from Wingtra and DJI Phantom 4 RTK drone platforms.
- Validate digital surface model (DSM) and digital terrain model (DTM) generation workflows in alpine terrain.
- Analyze land cover characteristics in the Wolfgang Arelen area using the classified point cloud data.
Strengths
- Data from two distinct drone platforms (Wingtra and DJI Phantom 4 RTK) for comparative analysis.
- Includes a derived ground classification product processed with professional software (Agisoft Metashape, LASTools, Terrasolid).
- Specific capture date (August 25, 2021) and location (Davos Wolfgang Arelen) are documented.
Limitations
- Unknown sample size, point density, and spatial extent of the collected data.
- Single-day temporal coverage limits analysis of seasonal or multi-temporal changes.
- Potential for label noise or classification errors in the derived ground layer without validation data.
Provenance
- Source
- ENVIDAT
- Collection Method
- Data captured via two drone flights and processed with photogrammetric software (Agisoft Metashape) and point cloud tools (LASTools, Terrasolid).
- Time Range
- 2021-08-25
- Freshness
- Data was last updated in the catalog on 2023-01-01.
- Geography
- Davos Wolfgang Arelen, Switzerland.