Preprints
https://doi.org/10.5194/essd-2023-485
https://doi.org/10.5194/essd-2023-485
08 Jan 2024
 | 08 Jan 2024
Status: this preprint was under review for the journal ESSD but the revision was not accepted.

A geomorphological slope unit dataset for the eastern edge of Tibetan Plateau

Xiangyi Zheng, Ying Wang, Qigen Lin, Jing Qi, Yuxin Li, Mengxia Zhao, Xinren Zhang, Xia Wang, and Yu Chen

Abstract. Geomorphological slope units represent the polygonal units on the digital terrain that are jointly segmented by valley and ridgelines. In contrast to the grid cells commonly used in traditional spatial analyses, slope units have an explicit geomorphological and environmental implication and capture the topographic characteristics of different units comparatively faithfully, which is being increasingly extensively used in the investigation of natural hazards, ecological processes and environmental impacts. However, delineating slope units on a widespread regional scale remains challenging, especially in areas such as the eastern edge of Tibetan Plateau, which is characterized by considerable spatial heterogeneity of topography and fragile ecological environments. To enable more researchers to focus more conveniently on the subject matter to be addressed itself, rather than being caught up in the slope unit delineation. The present study delineates and produces a dataset of high-precision geomorphological slope units for the eastern edge of the Tibetan Plateau based on the publicly available high-resolution DEM data. A total of 446,497 slope units were derived, representing an area of 350,000 square kilometres. To facilitate the application of this geomorphological slope unit dataset by researchers, we use it for landslide susceptibility assessment and perform an insightful evaluation and comparison with the results of the traditional mapping units. The dataset of this geomorphological slope unit demonstrates good performance in terms of overall scale, sample scale and unit scale. It is available in Figshare at https://doi.org/10.6084/m9.figshare.24457144.v1 (Zheng et al.,2023) and could be used as fundamental data for the investigation of disasters, environment and ecology in the eastern edge of the Tibetan Plateau.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Xiangyi Zheng, Ying Wang, Qigen Lin, Jing Qi, Yuxin Li, Mengxia Zhao, Xinren Zhang, Xia Wang, and Yu Chen

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2023-485', Anonymous Referee #1, 30 Jan 2024
    • AC1: 'Reply on RC1', Zheng Xiangyi, 06 Apr 2024
  • RC2: 'Comment on essd-2023-485', Anonymous Referee #2, 07 Feb 2024
    • AC2: 'Reply on RC2', Zheng Xiangyi, 06 Apr 2024
    • AC3: 'Reply on RC2', Zheng Xiangyi, 06 Apr 2024

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2023-485', Anonymous Referee #1, 30 Jan 2024
    • AC1: 'Reply on RC1', Zheng Xiangyi, 06 Apr 2024
  • RC2: 'Comment on essd-2023-485', Anonymous Referee #2, 07 Feb 2024
    • AC2: 'Reply on RC2', Zheng Xiangyi, 06 Apr 2024
    • AC3: 'Reply on RC2', Zheng Xiangyi, 06 Apr 2024
Xiangyi Zheng, Ying Wang, Qigen Lin, Jing Qi, Yuxin Li, Mengxia Zhao, Xinren Zhang, Xia Wang, and Yu Chen

Data sets

A geomorphological slope unit dataset for the eastern edge of Tibetan Plateau Xiangyi Zheng, Ying Wang, and Jing Qi https://doi.org/10.6084/m9.figshare.24457144

Xiangyi Zheng, Ying Wang, Qigen Lin, Jing Qi, Yuxin Li, Mengxia Zhao, Xinren Zhang, Xia Wang, and Yu Chen

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Short summary
This study built a high-precision and unified slope unit dataset for the eastern edge of Tibetan Plateau, which provided the basic data for geological disaster assessment. This dataset was derived from the 12.5 m high-resolution DEM with Hydrology toolbox of ArcGIS, which included 446,497 slope units, representing an area of 350,000 km2. With the landslide susceptibility assessment, this paper presents the performance and advantage of the dataset from the overall, quadrat and unit scale.
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