Articles | Volume 24, issue 9
https://doi.org/10.5194/hess-24-4463-2020
https://doi.org/10.5194/hess-24-4463-2020
Research article
 | 
15 Sep 2020
Research article |  | 15 Sep 2020

A systematic assessment of uncertainties in large-scale soil loss estimation from different representations of USLE input factors – a case study for Kenya and Uganda

Christoph Schürz, Bano Mehdi, Jens Kiesel, Karsten Schulz, and Mathew Herrnegger

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Latest update: 17 Jul 2024
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Short summary
The USLE is a commonly used model to estimate soil erosion by water. It quantifies soil loss as a product of six inputs representing rainfall erosivity, soil erodibility, slope length and steepness, plant cover, and support practices. Many methods exist to derive these inputs, which can, however, lead to substantial differences in the estimated soil loss. Here, we analyze the effect of different input representations on the estimated soil loss in a large-scale study in Kenya and Uganda.