Snow Depth Mapping Data From Drone Flights In Davos

Nine drone flights during the 2020/21 winter season at Latschüelfurgga, Davos, captured data to map and assess snow depth. The dataset includes high-resolution digital surface models (DSMs), orthomosaics, snow height rasters, and original RGB images from each flight. Data was processed by ENVIDAT using Agisoft Metashape software and published via NASA EarthData.

Use Cases

• Model snow depth changes over time by comparing snow height rasters from the nine sequential flights.
• Generate high-resolution terrain models by processing the available digital surface models (DSMs) and orthomosaics.
• Train computer vision algorithms for feature detection or segmentation using the original RGB drone images.
• Validate satellite-derived snow products by correlating measurements with the ground-truthed snow height rasters.

Strengths

• Nine separate data collection flights provide multiple temporal snapshots for change analysis.
• Includes multiple high-resolution data products: DSMs, orthomosaics, snow height rasters, and original RGB images.

Limitations

• Sample size is limited to a single winter season and one geographic location (Latschüelfurgga).
• Specific technical details like spatial resolution, file formats, and data volume are unknown.

Provenance

Source

ENVIDAT, published via NASA EarthData.

Collection Method

Data captured with a Sony RX1R II camera mounted on a Wingtra drone and processed with Agisoft Metashape software.

Time Range

Winter season 2020/21.

Freshness

Data reflects the 2020/21 season and was last updated in the platform in 2022.

Geography

Latschüelfurgga, Davos, Switzerland.