UAV-derived Orthomosaics and DEMs of 23K and 24K Glaciers (2019-2020)

Chuanxi Zhao from the Chinese Academy of Sciences created this dataset of UAV-derived orthomosaics and digital elevation models (DEMs) for the 23K and 24K glaciers in the southeastern Tibetan Plateau. The data was collected during four field campaigns in August and October of 2019 and 2020. It provides high-resolution geospatial data for monitoring glacier dynamics.

Use Cases

• Monitor glacier surface elevation changes based on the time-series DEMs.
• Analyze glacier surface features and debris cover using the orthomosaic imagery.
• Validate satellite-derived glacier change products with high-resolution UAV data.
• Study seasonal glacier dynamics by comparing data from August and October campaigns.

Strengths

• Data covers two glaciers over four distinct time points in 2019 and 2020, providing a time-series view.
• The dataset is derived from UAVs, which likely provides high spatial resolution for the glacier surfaces.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Chuanxi Zhao, Chinese Academy of Sciences

Collection Method

Data was gathered via Unmanned Aerial Vehicle (UAV) surveys.

Time Range

August 2019, October 2019, August 2020, October 2020

Geography

23K Glacier and 24K Glacier, southeastern Tibetan Plateau