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- Title
A new high-resolution global topographic factor dataset calculated based on SRTM.
- Authors
Sun, Yuwei; Zhang, Hongming; Yang, Qinke; Li, Rui; Liu, Baoyuan; Zhao, Xining; Shi, Haijing; Li, Hongyi; Ren, Yuhan; Fan, Xiao; Dong, Liang; Xu, Yikun; Chang, Yi; Yuan, Linlin
- Abstract
Topography is an important factor affecting soil erosion and is measured as a combination of the slope length and slope steepness (LS-factor) in erosion models, like the Chinese Soil Loss Equation. However, global high-resolution LS-factor datasets have rarely been published. Challenges arise when attempting to extract the LS-factor on a global scale. Furthermore, existing LS-factor estimation methods necessitate projecting data from a spherical trapezoidal grid to a planar rectangle, resulting in grid size errors and high time complexity. Here, we present a global 1-arcsec resolution LS-factor dataset (DS-LS-GS1) with an improved method for estimating the LS-factor without projection conversion (LS-WPC), and we integrate it into a software tool (LS-TOOL). Validation of the Himmelblau–Orlandini mathematical surface shows that errors are less than 1%. We assess the LS-WPC method on 20 regions encompassing 5 landform types, and R2 of LS-factor are 0.82, 0.82, 0.83, 0.83, and 0.84. Moreover, the computational efficiency can be enhanced by up to 25.52%. DS-LS-GS1 can be used as high-quality input data for global soil erosion assessment.
- Subjects
SOIL erosion; TIME complexity; SOFTWARE development tools; INTEGRATED software; EROSION
- Publication
Scientific Data, 2024, Vol 11, Issue 1, p1
- ISSN
2052-4463
- Publication type
Article
- DOI
10.1038/s41597-024-02917-w