TPRoGI: a comprehensive rock glacier inventory for the Tibetan Plateau using deep learning

Sun, Zhangyu; Hu, Yan; Racoviteanu, Adina; Liu, Lin; Harrison, Stephan; Wang, Xiaowen; Cai, Jiaxin; Guo, Xin; He, Yujun; Yuan, Hailun

doi:https://doi.org/10.5194/essd-16-5703-2024

Articles | Volume 16, issue 12

https://doi.org/10.5194/essd-16-5703-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-16-5703-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 12

Data description paper

|

17 Dec 2024

Data description paper |

| 17 Dec 2024

TPRoGI: a comprehensive rock glacier inventory for the Tibetan Plateau using deep learning

Zhangyu Sun, Yan Hu, Adina Racoviteanu, Lin Liu, Stephan Harrison, Xiaowen Wang, Jiaxin Cai, Xin Guo, Yujun He, and Hailun Yuan

Supplement

https://doi.org/10.5194/essd-16-5703-2024-supplement

Data sets

TPRoGI: a complete rock glacier inventory for the Tibetan Plateau using deep learning Zhangyu Sun et al. https://doi.org/10.5281/zenodo.10732042

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Short summary

We propose a new dataset, TPRoGI (v1.0), encompassing rock glaciers in the entire Tibetan Plateau. We used a neural network, DeepLabv3+, and images from Planet Basemaps. The inventory identified 44 273 rock glaciers, covering 6 000 km², mainly at elevations of 4000 to 5500 m a.s.l. The dataset, with details on distribution and characteristics, aids in understanding permafrost distribution, mountain hydrology, and climate impacts in High Mountain Asia, filling a knowledge gap.