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A new approach for landform classification based on geomorphic entity objects: a case study on the Tibetan Plateau.
Hong Wei1,2,3,4, Ling Jiang5,6,7,8, Xiaoli Huang1,2,3,4
1Anhui Province Key Laboratory of Physical Geographic Environment, Chuzhou University, Chuzhou, 239000, China.
Scientific Reports
|November 25, 2025
Summary
This study introduces novel geomorphologic classification methods for the Tibetan Plateau, revealing a complex landscape with 25% plains and diverse mountain types. These findings aid in understanding landform evolution and digital terrain analysis.
Area of Science:
- Geosciences
- Geomorphology
- Digital Terrain Analysis
Background:
- Landform classification is crucial for understanding regional geomorphic patterns and landform evolution.
- The Tibetan Plateau's complex topography necessitates advanced classification methods.
Purpose of the Study:
- To propose new geomorphologic classification methods and indicators for the Tibetan Plateau.
- To complete a geomorphic type classification of the Tibetan Plateau.
- To provide a reference for digital terrain analysis and landform classification studies.
Main Methods:
- Utilized novel indicators like slope-cost distance and mountain undulation.
- Considered global topographic features and the integrity of geomorphologic objects.
- Applied methods to classify geomorphic types across the Tibetan Plateau.
Main Results:
- The Tibetan Plateau comprises 25% plains, with a mountain-to-plain ratio of approximately 3:1.
- Mountain types are predominantly low-relief and middle-relief.
- Plains exhibit high fragmentation and low spatial aggregation, with a dispersed distribution.
- A distinct topographic skeleton of "three horizontal and one vertical" characterizes the mountains.
- The overall landform pattern of the Tibetan Plateau is complex and diverse.
Conclusions:
- The proposed methods offer a robust framework for landform classification.
- The study provides detailed insights into the geomorphic composition and spatial patterns of the Tibetan Plateau.
- Findings contribute to advancing digital terrain analysis and geomorphologic research.
Keywords:
Geomorphologic entitiesLandform classificationMountain relief indexSlope-cost distanceTibetan plateauMore Related Videos
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