UAV RGB and Thermal Infrared Imagery of Qinghai-Tibet Permafrost Slopes

Four flight experiments collected RGB and thermal infrared (TIR) imagery over two permafrost slopes in 2016 and 2017. The dataset, captured by UAV-mounted sensors, supports research on geomorphology and environmental change in the Qinghai-Tibet Engineering Corridor. It likely contains georeferenced images for analyzing slope stability and thermal properties.

Use Cases

• Permafrost degradation monitoring based on thermal infrared imagery.
• Geomorphological mapping of slopes based on RGB and TIR sensor fusion.
• Validation of remote sensing algorithms for UAV-based data.
• Analysis of thermal properties in engineering corridors based on TIR data.

Strengths

• Contains data from four distinct UAV flight experiments.
• Includes both RGB and thermal infrared (TIR) sensor modalities.
• Covers a specific, environmentally sensitive region (Qinghai-Tibet Engineering Corridor).

Limitations

• Key metadata like row count, file size, and specific column/feature names are unknown.
• The last update date is not provided, limiting assessment of freshness.
• Descriptions are sparse, offering minimal detail on image resolution or annotation.

Provenance

Source

Lihui Luo, Chinese Academy of Sciences

Collection Method

Data gathered via UAV-mounted RGB and thermal infrared sensors during flight experiments.

Time Range

2016-2017

Geography

Qinghai-Tibet Engineering Corridor, Qinghai-Tibet Plateau